Rackspace

We are looking for a Software-focused Trainee who treats AI as a powerful tool in their engineering toolkit. Instead of just "prompting," you will help us build the robust software systems that allow AI Agents to execute SQL, manage dbt models, and interact with data pipelines reliably.Key ResponsibilitiesSystem Integration: Assist in building the "connectors" between LLMs and real-world data tools (Airflow, dbt, Microsoft Fabric).Reliable Execution: Help develop validation layers to ensure AI-generated code (SQL/Python) is syntactically correct and follows governance standards.Agentic Workflows: Support the implementation of multi-step reasoning cycles (Plan-Act-Observe) using frameworks like LangGraph or CrewAI.Infrastructure Support: Work with Azure Functions and Container Apps to deploy and scale AI-driven microservices.Evaluations as Code: Build automated test suites to benchmark agent performance and detect regressions in reasoning.Required Skills &amp; QualificationsStrong Software Engineering Foundation: * Proficient in Python (focus on clean code, modularity, and error handling).Solid understanding of Data Structures, Algorithms, and OOP.Comfortable with Git workflows and RESTful API consumption.AI Implementation Skills:Hands-on experience calling LLM APIs (OpenAI, Anthropic, or Azure AI).Practical understanding of Agentic AI concepts: How agents use tools, memory, and self-correction.Knowledge of Structured Outputs (Pydantic/JSON schemas) to make AI outputs machine-readable.Data Literacy: Good command of SQL. You should be able to write and debug complex queries manually before trying to automate them with AI.Education: Final year student or recent graduate in CS, Software Engineering, or related fields.Preferred/Nice-to-haveExperience with Docker or basic Cloud infrastructure (Azure/AWS).Familiarity with Asynchronous Programming in Python (asyncio).Contribution to open-source projects or a strong GitHub portfolio showing clean software design.Traits We Look ForEngineering Rigor: You care about edge cases, latency, and system reliability, not just "cool" AI demos.Problem-First Mindset: You look for the best engineering solution, even if it sometimes means not using AI.High Learnability: You can read a technical API doc or a new AI research paper and translate it into working code quickly.What You Will GainMentorship from Senior Engineers on building production-grade Agentic systems.Exposure to the Azure AI Foundry ecosystem and enterprise-level DataOps.A chance to be at the forefront of the shift from "Chat" to "Autonomous Agents. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

AI Engineer Trainee (Software-approach)

Shift : 6:30 PM – 3:30 AM IST)Job Summary:We are seeking a seasoned and strategic Project Manager IV to lead high-impact, enterprise-level initiatives across private cloud, infrastructure, and hybrid hosting environments. This role demands a visionary leader with deep technical expertise, exceptional stakeholder management, and a proven track record of delivering complex projects &amp; programs that align with organizational goals. The PM4 will mentor junior project managers, drive cross-functional alignment, and influence executive decision-making.Key Responsibilities: Lead strategic, multi-phase programs involving infrastructure modernization, cloud transformation, and enterprise hosting.Oversee program-level planning, execution, and governance across multiple workstreams and stakeholders.Partner with leadership, architecture, engineering, and operations teams to deliver business-critical outcomes.Manage high-complexity projects with broad scope, significant risk exposure, and cross-functional dependencies.Develop and maintain executive-level dashboards, program roadmaps, and risk mitigation strategies.Ensure compliance with enterprise governance, security, and regulatory standards.Facilitate SLT-level communications, steering committee updates, and executive escalations.Champion continuous improvement, agile adoption, and delivery excellence across the project lifecycle.Mentor and coach PM3s and junior project managers, fostering a culture of accountability and growth.Lead enterprise, customer‑facing infrastructure delivery programs with contractual, SLA, and financial accountability.Ensure predictable, on time delivery of complex infrastructure implementations while driving continuous improvement initiatives.  KnowledgeAdvanced understanding of project and program management methodologies (Agile, Waterfall, Hybrid).Expertise in Project &amp; Program management, resource planning, and financial tracking.Proficiency in tools such as MS Office Suite, Smartsheet, JIRA, ServiceNow, Power BI.Strong analytical skills to assess project health, forecast risks, and drive data-informed decisions.Excellent communication, negotiation, and conflict resolution skills.Ability to influence technical and non-technical teams, including C-level stakeholders.Deep understanding of IT infrastructure domains:·       Cloud Computing (Private/Public/Hybrid)·       Networking &amp; Security·       Virtualization &amp; Storage·       Operating Systems (Windows/Linux)·       Databases &amp; Backup SolutionsRequired Qualifications:Bachelor’s degree in computer science, Information Technology, or a related field. Minimum 12 years of project/program management experience, preferably in IT infrastructure or cloud environments. Proven success in leading enterprise-scale programs with global impact. Excellent communication, leadership, and stakeholder management skills. Flexibility to work in any shift as per project requirements.Required Certifications:PMP, PRINCE2 Practitioner, or equivalent certification.About Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Project Manager IV – Implementation (R-22749)

The Senior Benefits Specialist – Americas supports the delivery, governance, and ongoing management of Rackspace’s benefits programs across the United States, Canada, Mexico, and Colombia. This role supports a multi-country employee population within a fast-paced, global environment and combines light administrative work with significant vendor, broker, and carrier management responsibilities.This position requires a dedicated benefits professional with strong technical expertise, sound judgment, and the ability to operate within established governance frameworks. The role partners closely with Global Benefits leadership and cross-functional teams to ensure aligned execution of benefits strategy. This is not a transactional or generalist HR role.<h3>Key Responsibilities</h3><ul><ul><li>Provide operational support for health, welfare, retirement, leave, and statutory benefits programs across the Americas region.</li><li>Manage employee benefits inquiries and escalations through the SNOW ticketing system, ensuring timely triage, resolution, and clear communication.</li><li>Serve as a primary point of contact for brokers, carriers, TPAs, PBMs, COBRA administrators, and leave vendors; actively manage escalations and hold vendors accountable to SLAs.</li><li>Support annual renewals by coordinating census data, reviewing pricing, validating assumptions, and partnering with leadership on recommendations.</li><li>Review vendor invoices, eligibility files, and claims reports for accuracy; coordinate corrections with Payroll and Finance as needed.</li><li>Ensure compliance with applicable legislation, including U.S. federal and state requirements (ERISA, ACA, COBRA, HIPAA, FMLA), Canadian provincial frameworks, and statutory programs in Mexico and Colombia.</li><li>Maintain compliance calendars and support audits, regulatory filings, and documentation standards.</li><li>Process limited benefits transactions in Workday and ensure data integrity across systems.</li><li>Collaborate closely with HRBPs, Payroll, Finance, Legal, AskHR, and Global Benefits leadership to support onboarding, terminations, mobility cases, and organizational changes.</li><li>Exercise sound judgment within established governance frameworks and seek leadership alignment before implementing policy or strategic changes.</li><li>Identify recurring service issues or process gaps and recommend improvements in coordination with leadership.</li><li>Stay current on evolving benefits legislation and market practices across the Americas through ongoing professional development and broker engagement.</li></ul></ul><h3>Qualifications</h3><ul><ul><li>7+ years of progressive, dedicated benefits experience (not generalist HR).</li><li>Demonstrated experience managing vendors, renewals, escalations, and compliance-related activities.</li><li>Strong working knowledge of U.S. benefits legislation; exposure to Canada, Mexico, and Colombia preferred.</li><li>Experience supporting audits, regulatory filings, or compliance oversight activities.</li><li>Proven ability to collaborate effectively and operate within leadership-directed governance structures.</li><li>Strong communication skills and consistent follow-through.</li><li>Experience with Workday and ticketing systems (SNOW preferred).</li><li>High level of professionalism, discretion, and attention to detail.</li><li>CEBS, SHRM-SCP, CBP, or related professional certifications preferred.</li></ul></ul>$75,000 - $130,000 a yearOur compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $75,000/year in our lowest geographic market up to $130,000/year in our highest geographic market. Pay is based on a number of factors, including market location, and may vary depending on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards, and an Employee Stock Purchase Plan (ESPP). Learn more about the <a href="https://rackspace.jobs/benefits/" rel="noopener noreferrer nofollow ugc" target="_blank">benefits at Rackspace</a>.#LI-AW2#LI-RemoteWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Benefits Specialist (Remote - US)

Rackspace Technology is seeking a highly accomplished Lead Solution Architect, Analytics &amp; Al/ML to lead the design and sales of two critical solution portfolios: Generative AI/LLM solutions and Data modernization/Lakehouse architectures on AWS. This pivotal role requires mastery of both domains - leveraging generative AI capabilities (Amazon Q, Amazon Bedrock, QuickSight) to drive executive conversations and opportunity creation, while delivering enterprise data modernization through Lakehouse architectures using AWS native services (Glue, SageMaker Unified Studio) and leading platforms (Databricks on AWS, Snowflake on AWS). This is a presales role that demands cross-functional experience with proven ability to engage C-level stakeholders, drive top-of-funnel opportunity creation, and maintain comprehensive account ownership across the entire customer lifecycle. The ideal candidate will excel at both selling the vision of generative AI transformation and delivering the reality of enterprise data modernization, combining deep technical expertise with exceptional business acumen and executive presence.Work Location: United States of America/ Travel up to 25% per business requirements to customer sites and AWS events - If located near a Rackspace office, you’ll work a hybrid schedule… two days in the office and three days work from home.·   If not located near an office, you may work 100% remotely. SponsorshipThis role is not sponsorship eligible.Candidates need to be legally allowed to work in the US for any employer<h3>Responsibilities</h3><ul><ul><li>Strategic Leadership &amp; Opportunity Development</li><li>Drive top-of-funnel opportunity creation through two parallel tracks: engaging C-level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations.</li><li>Lead the design and architecture of dual solution portfolios:</li><li>	  Generative AI Solutions: Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG 			 architectures, and custom LLM solutions.</li><li>	 Data Modernization: Enterprise Lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS.</li><li>Act as the trusted advisor, positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization.</li><li>Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios.</li><li>Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (Lakehouse patterns, data mesh, unified analytics).</li><li>Contribute to Rackspace's intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns.</li><li>Mentor and provide leadership to Solution Architects by delegating work, guiding technical development, and fostering skill growth across both generative AI and data modernization solution areas.</li><li>Customer Engagement &amp; Solution Delivery</li><li>Serve as the primary technical lead orchestrating both generative AI discussions and data modernization programs for strategic accounts.</li><li>Build strategic relationships using two engagement models:</li><li>	 Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions.</li><li>	 Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS-native), migration planning.</li><li>Lead comprehensive consultative engagements that begin with generative AI vision (Amazon Q, Bedrock) and translate into concrete data modernization roadmaps.</li><li>Develop Statements of Work (SOWs) that balance innovative AI capabilities with foundational data platform requirements.</li><li>Guide customers through parallel journeys: generative AI adoption (POCs to production) and data platform modernization (legacy to Lakehouse).</li><li>Collaborate with sales teams to position both solution portfolios strategically based on customer maturity and needs.</li><li>Technical Excellence &amp; Market Awareness</li><li>Maintain deep expertise across both solution domains:</li><li>	Generative AI **: Amazon Bedrock, Amazon Q, QuickSight Q, SageMaker JumpStart, prompt engineering, RAG architectures, vector databases.</li><li>Data Platforms **: AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS, Redshift, EMR, Apache Iceberg, Delta Lake.</li><li>Position AWS solutions effectively against other cloud platforms' offerings in both generative AI (Azure OpenAI, Vertex AI) and data platforms (Azure Synapse, BigQuery)</li><li>Guide architectural decisions on build vs. buy for both Al capabilities and data platform components</li></ul></ul><h3>Required Experience</h3><ul><ul><li>Dual Expertise Required:</li><li>	Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations.</li><li>	Proven track record delivering data modernization: Lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments</li><li>A bachelor's degree in computer science, Data Science, Engineering, Mathematics, or a related technical field is required. At the manager’s discretion, additional relevant experience may substitute for the degree requirement. </li><li>A minimum of 12 years of enterprise solution architecture experience.</li><li>A minimum of 8 years of public cloud experience.</li><li>A minimum of 5 years as a senior-level architect or solutions leader with hands-on experience in both AI/ML and data platform modernization.</li><li>Demonstrated success in engaging C-level executives using generative AI demonstrations while delivering complex data platform transformations.</li><li>Strong understanding across the full spectrum:</li><li>	AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine-tuning.</li><li>	Data Platforms **: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality.</li><li>Proficiency in Python, SQL, and Spark with hands-on experience in:</li><li>	Generative AI: LangChain, vector databases, embedding models.</li><li>	Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools.</li><li>A proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences.</li></ul></ul><h3>Preferred Qualifications</h3><ul><ul><li>An advanced degree (Master's or PhD) in a relevant field</li><li>Experience with AWS professional services or AWS partner ecosystem across both Al and data domains</li><li>Presales experience</li><li>Hands-on experience with:</li><li>	Multiple Lakehouse platforms: Databricks, Snowflake, AWS-native (Glue + Athena + Redshift)</li><li>	Multiple Al platforms: AWS Bedrock, Azure OpenAI, Google Vertex Al</li><li>Industry certifications:</li><li>	AWS: Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty</li><li>	Platform specific: Databricks Certified, Snowflake SnowPro</li><li>Experience with regulated industries requiring governance for both AI and data platforms</li><li>Track record building practices that deliver both generative AI solutions and data modernization programs</li><li>Published thought leadership in generative AI applications and/or modern data architectures</li></ul></ul>Work Location: United States of America/ Travel up to 25% per business requirements to customer sites and AWS events - If located near a Rackspace office, you’ll work a hybrid schedule… two days in the office and three days work from home.·   If not located near an office, you may work 100% remotely. SponsorshipThis role is not sponsorship eligible.Candidates need to be legally allowed to work in the US for any employerOur compensation reflects the cost of labor across several US geographic markets. The total pay for this position ranges from $220,000/year in our lowest geographic market up to $269,000/year in our highest geographic market. Pay is based on a number of factors, including market location, and may vary depending on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards, and an Employee Stock Purchase Plan (ESPP). Learn more about the <a href="https://rackspace.jobs/benefits/" rel="noopener noreferrer nofollow ugc" target="_blank">benefits at Rackspace</a>.#LI-AW1#LI-Remote"Remote postings are limited to candidates residing within the country specified in the posting location"About Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Lead Solution Architect, Analytics &amp; Al/ML

Rackspace Technology is seeking a highly accomplished Solution Director, Analytics &amp; Al/ML to lead the design and sales of two critical solution portfolios: Generative AI/LLM solutions and Data modernization/Lakehouse architectures on AWS. This pivotal role requires mastery of both domains - leveraging generative AI capabilities (Amazon Q, Amazon Bedrock, QuickSight) to drive executive conversations and opportunity creation, while delivering enterprise data modernization through Lakehouse architectures using AWS native services (Glue, SageMaker Unified Studio) and leading platforms (Databricks on AWS, Snowflake on AWS). This is a presales role that demands cross-functional experience with proven ability to engage C-level stakeholders, drive top-of-funnel opportunity creation, and maintain comprehensive account ownership across the entire customer lifecycle. The ideal candidate will excel at both selling the vision of generative AI transformation and delivering the reality of enterprise data modernization, combining deep technical expertise with exceptional business acumen and executive presence.Work Location: United States of America/ Travel up to 25% per business requirements to customer sites and AWS events - If located near a Rackspace office, you’ll work a hybrid schedule… two days in the office and three days work from home.·   If not located near an office, you may work 100% remotely. SponsorshipThis role is not sponsorship eligible.Candidates need to be legally allowed to work in the US for any employer<h3>Responsibilities</h3><ul><ul><li>Strategic Leadership &amp; Opportunity Development</li><li>Drive top-of-funnel opportunity creation through two parallel tracks: engaging C-level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations.</li><li>Lead the design and architecture of dual solution portfolios:</li><li>	  Generative AI Solutions: Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG 			 architectures, and custom LLM solutions.</li><li>	 Data Modernization: Enterprise Lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS.</li><li>Act as the trusted advisor, positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization.</li><li>Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios.</li><li>Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (Lakehouse patterns, data mesh, unified analytics).</li><li>Contribute to Rackspace's intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns.</li><li>Mentor and provide leadership to Solution Architects by guiding technical development and fostering skill growth across both generative AI and data modernization solution areas.</li><li>Customer Engagement &amp; Solution Delivery</li><li>Serve as the primary technical lead orchestrating both generative AI discussions and data modernization programs for strategic accounts.</li><li>Build strategic relationships using two engagement models:</li><li>	 Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions.</li><li>	 Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS-native), migration planning.</li><li>Lead comprehensive consultative engagements that begin with generative AI vision (Amazon Q, Bedrock) and translate into concrete data modernization roadmaps.</li><li>Develop proposals that balance innovative AI capabilities with foundational data platform requirements.</li><li>Guide customers through parallel journeys: generative AI adoption (POCs to production) and data platform modernization (legacy to Lakehouse).</li><li>Collaborate with sales teams to position both solution portfolios strategically based on customer maturity and needs.</li><li>Technical Excellence &amp; Market Awareness</li><li>Maintain deep expertise across both solution domains:</li><li>	Generative AI **: Amazon Bedrock, Amazon Q, QuickSight Q, SageMaker JumpStart, prompt engineering, RAG architectures, vector databases.</li><li>Data Platforms **: AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS, Redshift, EMR, Apache Iceberg, Delta Lake.</li><li>Position AWS solutions effectively against other cloud platforms' offerings in both generative AI (Azure OpenAI, Vertex AI) and data platforms (Azure Synapse, BigQuery)</li><li>Guide architectural decisions on build vs. buy for both Al capabilities and data platform components</li></ul></ul><h3>Required Experience</h3><ul><ul><li>Dual Expertise Required:</li><li>	Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations.</li><li>	Proven track record delivering data modernization: Lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments</li><li>A bachelor's degree in computer science, Data Science, Engineering, Mathematics, or a related technical field is required. At the manager’s discretion, additional relevant experience may substitute for the degree requirement. </li><li>A minimum of 15 years of enterprise solution architecture experience.</li><li>A minimum of 8 years of public cloud experience.</li><li>A minimum of 5 years as a senior-level architect or solutions leader with hands-on experience in both AI/ML and data platform modernization.</li><li>Proven Presales/Sales Engineering experience.</li><li>Demonstrated success in engaging C-level executives using generative AI demonstrations while delivering complex data platform transformations.</li><li>Strong understanding across the full spectrum:</li><li>	AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine-tuning.</li><li>	Data Platforms **: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality.</li><li>Proficiency in Python, SQL, and Spark with hands-on experience in:</li><li>	Generative AI: LangChain, vector databases, embedding models.</li><li>	Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools.</li><li>A proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences.</li></ul></ul><h3>Preferred Qualifications</h3><ul><ul><li>An advanced degree (Master's or PhD) in a relevant field</li><li>Experience with AWS professional services or AWS partner ecosystem across both Al and data domains</li><li>Hands-on experience with:</li><li>	Multiple Lakehouse platforms: Databricks, Snowflake, AWS-native (Glue + Athena + Redshift)</li><li>	Multiple Al platforms: AWS Bedrock, Azure OpenAI, Google Vertex Al</li><li>Industry certifications:</li><li>	AWS: Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty</li><li>	Platform specific: Databricks Certified, Snowflake SnowPro</li><li>Experience with regulated industries requiring governance for both AI and data platforms</li><li>Track record building practices that deliver both generative AI solutions and data modernization programs</li><li>Published thought leadership in generative AI applications and/or modern data architectures</li></ul></ul>Work Location: United States of America/ Travel up to 25% per business requirements to customer sites and AWS events - If located near a Rackspace office, you’ll work a hybrid schedule… two days in the office and three days work from home.·   If not located near an office, you may work 100% remotely. SponsorshipThis role is not sponsorship eligible.Candidates need to be legally allowed to work in the US for any employerOur compensation reflects the cost of labor across several US geographic markets. The total pay for this position ranges from $277,000/year in our lowest geographic market up to $338,000/year in our highest geographic market. Pay is based on a number of factors, including market location, and may vary depending on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards, and an Employee Stock Purchase Plan (ESPP). Learn more about the <a href="https://rackspace.jobs/benefits/" rel="noopener noreferrer nofollow ugc" target="_blank">benefits at Rackspace</a>.#LI-AW1#LI-Remote"Remote postings are limited to candidates residing within the country specified in the posting location"About Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Solution Director, Analytics &amp; Al/ML

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Job Position and Company	Location	Tags	Posted
AI Engineer Trainee (Software-approach) at Rackspace	Remote
Project Manager IV – Implementation (R-22749) at Rackspace	Remote Full Time Manager Windows
Senior Benefits Specialist (Remote - US) at Rackspace	Remote Full Time
Lead Solution Architect, Analytics & Al/ML at Rackspace	Remote Full Time Manager
Solution Director, Analytics & Al/ML at Rackspace	Remote Full Time Manager

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