Job Description

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

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.

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Key job responsibilities

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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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Qualifications

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

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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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