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Job description
Are you a customer-obsessed builder with a passion for helping customers build faster, smarter, and more reliably with AI? Are you excited about the convergence of generative AI and software engineering, and how agentic AI tools are transforming the way startups ship code? Do you have the technical depth, advisory skills, and startup instincts necessary to help position AWS as the platform of choice for AI-powered development? Join the Worldwide Specialist Organization (WWSO) Startup team as a GTM Specialist Solutions Architect for Agentic Engineering!
WWSO Intro:
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customers’ most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you’ll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
Key job responsibilities
* Engage with startup customers from CXO/VP engineering to developers to drive adoption of AWS Agentic Engineering offerings including Kiro, Claude Code on Bedrock, Codex on Bedrock and AWS Frontier Agents with a goal of developing pipeline, securing lighthouse customers and growing top-line revenue
* Become a trusted advisor within customer accounts through technical thought leadership in AI-powered software development workflows, positioning frameworks and methodologies to embed AI capabilities in every phase of the SDLC, from planning and design through testing and deployment
* Design and execute go-to-market programs targeting the developer community, including developer meet-ups, hackathons, university seeding, and ISV partnerships (Kiro Powers ecosystem) to drive organic product-led adoption of our offerings.
* Develop and deploy programs that leverage AWS Field Solution Architect teams, Agentic coding subject-matter experts, technology partners (Kiro Powers ISVs), and other partner channels to scale Agentic Engineering adoption
* Collaborate with the AWS service and engineering teams to surface customer feedback, influence roadmap priorities, and co-create solutions that solve real startup problems – including reference architectures, agentic workflow patterns, custom coding agents, MCP integrations, and native integration blueprints.
* Guide and support the AWS internal community of technical subject matter experts aligned to Agentic Engineering. Create field enablement materials, demo assets, open-source samples, and workshop content for the broader SA population to help them position Kiro and Agentic Engineering capabilities within customer architectures.
A day in the life
The WWSO team helps customers adopt our newest and most advantageous technologies. We are technology specialists. The WWSO Startup team is a team dedicated to helping Startups scale quickly and cost-effectively on AWS. We want Startups to grow better when they choose AWS and we make it easier by recommending the right technologies and then by helping Startups get up and running quickly.
This position specifically is part of the WWSO Startup team, where you will be a Specialist Solution Architect that helps Startups adopt AWS’ technologies with a focus on Kiro and our other Agentic Engineering offerings. You will:
1/ Be the best storyteller and technologist — articulating the value of AI-powered development through demos, reference architectures, and real customer outcomes.
2/ Work with the most promising Startups — engaging lighthouse customers building with agentic tools at scale.
3/ Scale tech knowledge via products, programs, and the AWS Field — creating enablement content, running workshops, and growing our community of subject matter experts
4/ Gather critical Startup feedback to inform product roadmaps — operating as the voice of startups to service teams building Kiro and our other offerings
BASIC QUALIFICATIONS
– Bachelor’s degree or above in computer science, computer engineering, or related field
– Experience in a customer-facing role, engaging with customer executives, technologists or partners to solve business problems with advanced technologies
– 7+ years design/implementation/consulting experience with distributed applications or developer tooling
– 5+ years technical experience in at least one of: AI/ML, LLMs, generative AI, or modern SDLC automation (CI/CD, DevSecOps, infrastructure-as-code)
– Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity.
PREFERRED QUALIFICATIONS
– Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)
– Master’s degree or above in engineering, management, or technology, or Master’s degree or above in computer science, engineering, mathematics or equivalent
– Familiarity with open-source software used by Startups and working knowledge of software development tools and methodologies common to Startups.
– Hands-on experience with AI coding assistants and agentic developer tools (e.g., Kiro, Cursor, Claude Code, GitHub Copilot, Codex, Windsurf)
– Experience designing or implementing CI/CD pipelines, DevSecOps workflows, or SDLC automation at scale
– Familiarity with Agentic AI architectures — multi-agent orchestration, tool-use patterns, MCP (Model Context Protocol), and autonomous agent frameworks
– Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developer communities, and at industry events
– Demonstrated ability to adapt to new technologies and learn quickly in fast-moving competitive landscape
– Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches (e.g., Strands Agents SDK, LangGraph, CrewAI)
