Delivery Consultant - Agentic AI Full Stack Developer, AWS Professional Services

Are you a builder with a strong software development background who gets excited about designing and delivering end‑to‑end applications powered by Generative AI? Join AWS Professional Services as a Delivery Consultant specializing in Agentic AI Full Stack Development to architect and deliver cloud‑native GenAI solutions.

Key job responsibilities

- Full‑Stack Development — Design, build, and ship cloud‑native applications end‑to‑end. Develop responsive frontend interfaces (e.g., React, Next.js, Vue) and scalable backend services (e.g., Python, TypeScript, Java), deploying on AWS with infrastructure as code and CI/CD pipelines.
- AI‑Assisted Software Development — Use AI‑powered development tools as part of your daily workflow and champion agentic software development methodologies, leveraging AI to accelerate coding, testing, code review, and delivery.
- Agentic Development — Design and implement AI agent architectures and multi‑agent systems, working with emerging protocols (e.g., MCP, A2A) and orchestration frameworks to build autonomous and semi‑autonomous AI workflows.
- Solution Delivery — Work directly with customers to understand requirements, architect solutions, and deliver working software. Build distributed systems, modernise existing applications, and implement best practices across cloud environments.
- Technical Leadership — Guide customer and partner teams on software engineering best practices, software architecture decisions and code quality. Conduct code reviews, mentor developers, and ensure solutions meet security and operational excellence standards.

Qualifications





- 5+ years of cloud architecture and solution implementation experience on AWS or comparable cloud platforms.
- 5+ years of hands‑on development with modern programming languages (e.g., TypeScript, JavaScript, Python, Java, Kotlin, .NET).
- Experience using AI‑assisted development tools as part of the software development workflow.
- Experience with Infrastructure as Code (e.g., AWS CDK, CloudFormation, Terraform), CI/CD pipelines and DevOps practices.
- Experience leading the design, development and deployment of business software at scale or recent hands‑on technology infrastructure, network, compute, storage, and virtualization experience.
- Understanding of AI agent architectures, orchestration patterns, and emerging protocols (e.g., MCP, A2A) with hands‑on experience building multi‑agent systems and applications that integrate generative AI/LLM capabilities.
- Experience with agentic software development methodologies — using AI agents to accelerate development workflows including coding, testing, debugging, and code review.
- Understanding of API design and implementation (REST, GraphQL, gRPC) and identity protocols (OpenID Connect, OAuth 2.0).
- Hands‑on experience with containerization and orchestration (e.g., Docker, Amazon ECS, Kubernetes), distributed systems, event‑driven architectures, and microservices patterns at scale.
- Familiarity with observability and monitoring practices (e.g., OpenTelemetry, CloudWatch, Datadog) with a focus on operational excellence.

Company Culture and Values

AWS values diverse experiences, curiosity and connection, and employee‑led affinity groups that promote inclusion. AWS strives to be a excellent employer, offering mentorship, career growth, continuous learning, and work‑life harmony with flexible working arrangements.

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