About the job
AWS Global Strategic Partners (GSP) Sales drives adoption of the AWS services worldwide by selling into the world's largest consulting partners. These partners are our customers — they use AWS for their own internal operations and to design, build, and deliver solutions for their end customers. Our team empowers them to grow their AWS footprint and delivery capabilities through tailored service, unmatched technology, and hands-on architecture guidance. We dive deep into understanding each partner's unique challenges and go-to-market strategy, then craft innovative solutions that accelerate their success. Join us and help us grow.
Responsibilities
Design, build, and deploy solutions on AWS alongside partner engineering teams — from proof-of-concept through customer delivery, with a focus on agentic AI applications and GenAI design patterns
Architect agentic systems using Amazon Bedrock, AgentCore, Step Functions, Lambda, and EventBridge — establishing reusable patterns for multi-agent orchestration, tool use, and autonomous workflows
Work embedded within partner teams — pair-program, conduct code reviews, debug distributed systems, and iterate rapidly to deliver solutions that meet end-customer requirements
Create reusable assets — reference implementations, starter kits, deployment templates (CDK, CloudFormation, Terraform), and documentation that partner delivery teams can scale across engagements
Own the technical relationship with large consulting partner customers — serve as the trusted hands-on advisor as they grow their AWS practice
Drive adoption through building — demonstrate what's possible by delivering working software and turning proof-of-concepts into reusable patterns that drive long-term AWS adoption
Contribute thought leadership — author AWS blogs, whitepapers, and open-source projects; present at AWS Summit and re:Invent based on real solutions you've built
Act as the voice of the partner — provide feedback to AWS service teams based on real deployment experience and submit feature requests that improve developer experience
Qualifications
Minimum
Experience in hands-on work managing complex technology projects
8+ years of experience in software development, cloud computing, systems engineering, or infrastructure — with a strong hands-on building background
3+ years of experience designing, building, and deploying applications on AWS or equivalent cloud platforms
Proficiency in one or more programming languages (Python, Java, TypeScript, Go) with demonstrated ability to build customer-facing applications and automation
Experience with infrastructure-as-code (CloudFormation, CDK, or Terraform) and CI/CD pipeline design
Preferred
Experience building scalable programs and repeatable scalable processes, levering various tools and methods to create scale and efficiency
Experience building agentic AI applications — multi-agent orchestration, RAG pipelines, and LLM-powered automation using Amazon Bedrock, AgentCore, or equivalent
Deep familiarity with agentic design patterns: tool use, function calling, chain-of-thought reasoning, human-in-the-loop workflows, and autonomous task execution
Experience with the AWS AI/ML stack: SageMaker, Bedrock, Lambda, Step Functions, EventBridge, OpenSearch, Kendra
Experience working with or for large consulting partners (e.g., Accenture, Deloitte, TCS, Infosys, Wipro, DXC, Cognizant)
Knowledge of Amazon Connect and contact center transformation — experience designing cloud-based CX solutions
Experience with observability and debugging distributed systems at scale
Strong communication skills — able to translate complex technical concepts for executive audiences while maintaining credibility with engineering teams
AWS certifications (Solutions Architect Professional, AI/ML Specialty, or relevant Specialty certifications)