Job Description
Are you passionate about architecting scalable AI and data solutions alongside AWS's strategic partners? Do you have deep technical expertise in AI/ML technologies combined with the ability to guide partners in building innovative solutions for customers?
Amazon Web Services (AWS) is seeking a Senior Partner Solutions Architect with proven experience in AI and data architecture to join our Partner Solutions Architecture team in North America. In this role, you will serve as a trusted technical advisor to our strategic partners, helping them architect secure and scalable AWS-integrated solutions that leverage AI/ML services and modern data platforms. You will work backwards from customer needs to design partner solutions that drive sustainable value and accelerate AWS adoption across thousands of advertisers and enterprises globally.
Key job responsibilities
Architect and design scalable AI/ML and data solutions with strategic partners using AWS services (Amazon Bedrock, SageMaker, Redshift, EMR, Kinesis, and other AI/data services)
Provide technical leadership on complex partner opportunities, guiding solution architecture from ideation through production deployment
Lead solution ideation sessions and technical account planning with partners to identify opportunities for AI/ML and data-driven solutions
Conduct architectural reviews and provide best practices guidance on data platform design, ML pipelines, and AI solution patterns
Design and implement agentic AI solutions using Amazon Bedrock AgentCore, AWS Strands Agents SDK, and multi-agent orchestration patterns
Guide partners in building production-grade autonomous AI systems across horizontal (SDLC/application modernization) and vertical (industry-specific) use cases
Drive partner enablement through technical workshops, immersion days, and thought leadership content focused on AI/ML and data architecture
Collaborate with AWS product teams to provide partner feedback and influence AI/ML and data service roadmaps
Ensure security, compliance, and architectural excellence in partner-built solutions through structured review frameworks
Support partner competency development and certification in AI/ML and data analytics domains
A day in the life
Review and respond to partner technical questions via email and Slack. Join architecture review calls to validate partner solution designs. Write code samples and integration guides for partner engineering teams. Conduct hands-on workshops demonstrating AWS service integration patterns. Collaborate with AWS account teams on joint customer opportunities. Update technical documentation and reference architectures. Troubleshoot partner deployment issues and optimize performance. Meet with partner product managers/CPO/CTO to discuss roadmap alignment. Create demo environments showcasing joint solutions. Present solution to Partner's customers. Provide feedback to AWS service teams based on partner requirements.
About the team
The Partner Solutions Architecture team is a specialized group of technical experts who architect scalable solutions alongside Amazon's strategic partners. We serve as the bridge between AWS's capabilities and partner-built solutions that drive innovation globally. Our team operates through a structured engagement model supporting partners at multiple service levels - from dedicated annual planning with managed accounts to scaled community enablement through workshops and technical content. We measure success through design wins, partner revenue growth, API adoption, and the quality of solutions we help bring to market. Our culture values technical excellence, innovation leadership, and continuous learning as we shape how enterprises adopt transformative AI and data technologies.
BASIC QUALIFICATIONS
Bachelor's degree
5+ years of design, implementation, or consulting in applications and infrastructures experience
Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
2+ years of technology/software sales experience
PREFERRED QUALIFICATIONS
Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
Experience with data architecture, AI/ML solution design, or related technical roles
Experience architecting and implementing AI/ML solutions at scale, including experience with machine learning frameworks (TensorFlow, PyTorch, MXNet, scikit-learn) and ML platforms
AWS Certifications (Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty)
Experience in a customer-facing role such as solutions architect, technical consultant, or professional services
Experience with Deep Learning architectures and Transformer models (BERT, GPT, T5, etc.) including training, fine-tuning, and deployment at scale
Experience with Agentic AI Solution Framework including:
Multi-agent system architecture and orchestration patterns (supervisor agents, agent-to-agent collaboration)
Amazon Bedrock AgentCore implementation and AWS Strands Agents SDK
Integration with agentic frameworks (LangGraph, CrewAI, LangChain, AutoGen)
Agentic protocols including Model Context Protocol (MCP) and Agent-to-Agent (A2A)
Memory management strategies (short-term/long-term memory, session state, context management)
Tool integration and API orchestration for autonomous agent systems
Agent workflow patterns (ReAct, Chain-of-Thought, Reflexion, dynamic replanning)
Security, governance, and observability frameworks for production agent systems
Container-based agent deployment on Amazon EKS/ECS
Autonomous decision-making, contextual reasoning, and goal-oriented agent design
Hands-on experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Rekognition, Comprehend, Forecast) and AWS data services (Redshift, EMR, Glue, Kinesis, Lake Formation)
Experience with generative AI, large language models, RAG architectures, and agentic AI systems
Experience architecting production-grade MLOps pipelines and data governance frameworks
Background in partner enablement, technical training, or thought leadership
Experience working with consulting partners, systems integrators, or technology partners
Publications, presentations, or speaking engagements at industry conferences on AI/ML or data architecture topics
Strong business acumen with ability to connect technical solutions to business outcomes
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually
USA, TX, Houston - 153,600.00 - 207,800.00 USD annually
Amazon Web Services (AWS) is seeking a Senior Partner Solutions Architect with proven experience in AI and data architecture to join our Partner Solutions Architecture team in North America. In this role, you will serve as a trusted technical advisor to our strategic partners, helping them architect secure and scalable AWS-integrated solutions that leverage AI/ML services and modern data platforms. You will work backwards from customer needs to design partner solutions that drive sustainable value and accelerate AWS adoption across thousands of advertisers and enterprises globally.
Key job responsibilities
Architect and design scalable AI/ML and data solutions with strategic partners using AWS services (Amazon Bedrock, SageMaker, Redshift, EMR, Kinesis, and other AI/data services)
Provide technical leadership on complex partner opportunities, guiding solution architecture from ideation through production deployment
Lead solution ideation sessions and technical account planning with partners to identify opportunities for AI/ML and data-driven solutions
Conduct architectural reviews and provide best practices guidance on data platform design, ML pipelines, and AI solution patterns
Design and implement agentic AI solutions using Amazon Bedrock AgentCore, AWS Strands Agents SDK, and multi-agent orchestration patterns
Guide partners in building production-grade autonomous AI systems across horizontal (SDLC/application modernization) and vertical (industry-specific) use cases
Drive partner enablement through technical workshops, immersion days, and thought leadership content focused on AI/ML and data architecture
Collaborate with AWS product teams to provide partner feedback and influence AI/ML and data service roadmaps
Ensure security, compliance, and architectural excellence in partner-built solutions through structured review frameworks
Support partner competency development and certification in AI/ML and data analytics domains
A day in the life
Review and respond to partner technical questions via email and Slack. Join architecture review calls to validate partner solution designs. Write code samples and integration guides for partner engineering teams. Conduct hands-on workshops demonstrating AWS service integration patterns. Collaborate with AWS account teams on joint customer opportunities. Update technical documentation and reference architectures. Troubleshoot partner deployment issues and optimize performance. Meet with partner product managers/CPO/CTO to discuss roadmap alignment. Create demo environments showcasing joint solutions. Present solution to Partner's customers. Provide feedback to AWS service teams based on partner requirements.
About the team
The Partner Solutions Architecture team is a specialized group of technical experts who architect scalable solutions alongside Amazon's strategic partners. We serve as the bridge between AWS's capabilities and partner-built solutions that drive innovation globally. Our team operates through a structured engagement model supporting partners at multiple service levels - from dedicated annual planning with managed accounts to scaled community enablement through workshops and technical content. We measure success through design wins, partner revenue growth, API adoption, and the quality of solutions we help bring to market. Our culture values technical excellence, innovation leadership, and continuous learning as we shape how enterprises adopt transformative AI and data technologies.
BASIC QUALIFICATIONS
Bachelor's degree
5+ years of design, implementation, or consulting in applications and infrastructures experience
Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
2+ years of technology/software sales experience
PREFERRED QUALIFICATIONS
Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
Experience with data architecture, AI/ML solution design, or related technical roles
Experience architecting and implementing AI/ML solutions at scale, including experience with machine learning frameworks (TensorFlow, PyTorch, MXNet, scikit-learn) and ML platforms
AWS Certifications (Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty)
Experience in a customer-facing role such as solutions architect, technical consultant, or professional services
Experience with Deep Learning architectures and Transformer models (BERT, GPT, T5, etc.) including training, fine-tuning, and deployment at scale
Experience with Agentic AI Solution Framework including:
Multi-agent system architecture and orchestration patterns (supervisor agents, agent-to-agent collaboration)
Amazon Bedrock AgentCore implementation and AWS Strands Agents SDK
Integration with agentic frameworks (LangGraph, CrewAI, LangChain, AutoGen)
Agentic protocols including Model Context Protocol (MCP) and Agent-to-Agent (A2A)
Memory management strategies (short-term/long-term memory, session state, context management)
Tool integration and API orchestration for autonomous agent systems
Agent workflow patterns (ReAct, Chain-of-Thought, Reflexion, dynamic replanning)
Security, governance, and observability frameworks for production agent systems
Container-based agent deployment on Amazon EKS/ECS
Autonomous decision-making, contextual reasoning, and goal-oriented agent design
Hands-on experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Rekognition, Comprehend, Forecast) and AWS data services (Redshift, EMR, Glue, Kinesis, Lake Formation)
Experience with generative AI, large language models, RAG architectures, and agentic AI systems
Experience architecting production-grade MLOps pipelines and data governance frameworks
Background in partner enablement, technical training, or thought leadership
Experience working with consulting partners, systems integrators, or technology partners
Publications, presentations, or speaking engagements at industry conferences on AI/ML or data architecture topics
Strong business acumen with ability to connect technical solutions to business outcomes
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually
USA, TX, Houston - 153,600.00 - 207,800.00 USD annually
💡 Quick Summary
Seeking a career-building opportunity? The Senior Solutions Architect - Data Analytics & AI, Partner Solutions Architect position is now open for candidates interested in the Architect / Interior Designer Jobs sector. This role in Mountain View offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Architect / Interior Designer Jobs is a plus.
