Senior Full Stack Developer | AI Forward

About this role

<div class="content-intro"><div> <div> </div> <div>At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. </div> <div> </div> <div>Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. </div> <div> </div> <div>Join us to drive positive, lasting change that moves missions and the government forward!</div> <div> </div> </div></div><p><strong>You are:  </strong></p> <p>As a Senior AI Full-Stack Engineer, you will be a key contributor on a team solving complex, high-impact problems for government and federal customers. You are hands-on, move fast, and bring both depth and breadth — equally comfortable architecting a multi-agent AI pipeline and building the UI that puts it in front of end users. You have strong opinions about software design, know when to make trade-offs, and naturally elevate the engineers around you.</p> <p><strong>The Work:</strong></p> <ul> <li>Design and build end-to-end AI-powered solutions — from backend agent orchestration to polished, production-ready frontends.</li> <li>Develop GenAI solutions leveraging LLMs, autonomous agents, and RAG to power critical federal workflows.</li> <li>Rapidly prototype and deliver proof-of-concepts and MVPs that evolve into production systems — measured in days, not weeks or months.</li> <li>Build cloud-native, AI-native applications addressing some of the most complex challenges in the Federal space.</li> <li>Create responsive, accessible web interfaces and dashboards that surface AI capabilities to non-technical end users.</li> <li>Integrate and customize solutions with platforms such as Databricks, Palantir, Snowflake, and ServiceNow.</li> <li>Support delivery teams through technical planning, architecture guidance, and hands-on coaching.</li> </ul> <p><strong>Here’s What You Need:</strong></p> <p>AI & GenAI:</p> <ul> <li>Deep expertise with LLMs, agentic frameworks, vector databases, semantic search, and RAG pipelines.</li> <li>Hands-on experience with frameworks such as LangChain/LangGraph, CrewAI, Google ADK, or equivalent.</li> <li>Solid understanding of GenAI concepts including tool invocation, guardrails, memory, and multi-agent orchestration.</li> <li>Strong, daily hands-on experience with AI coding agents such as Claude Code, OpenAI Codex/ChatGPT, Cursor, or equivalent — using them not just as autocomplete but as active development collaborators to accelerate prototyping and production delivery.</li> </ul> <p>Full-Stack Engineering:</p> <ul> <li>Strong frontend skills: component-driven development using React, Next.js, or Angular; proficiency in TypeScript/ JavaScript.</li> <li>Ability to build clean, intuitive UIs that make complex AI outputs accessible and actionable.</li> <li>Solid backend experience: Python for AI/data workloads; Node.js, Java, or Go for services and APIs.</li> <li>Familiarity with relational and non-relational databases: PostgreSQL, MySQL, MongoDB, DynamoDB. Cloud & Infrastructure:</li> <li>Advanced experience designing and deploying cloud-native architectures on AWS, Azure, or GCP.</li> <li>Proficiency with serverless (Lambda, Azure Functions, Cloud Functions) and container orchestration (Kubernetes, Docker, ECS).</li> <li>Strong CI/CD practices and experience building reliable, repeatable deployment pipelines</li> </ul> <p>Engineering Mindset:</p> <ul> <li>Computer Science fundamentals: OOP, data structures, algorithms, system design.</li> <li>Pragmatic approach to architecture — you know when to build vs. integrate, and when perfect is the enemy of shipped.</li> <li>Strong sense of ownership; you drive things to completion without needing to be managed.</li> <li>Experience mentoring engineers and contributing to a high-quality engineering culture.</li> </ul> <p><strong>Minimum Requirements:</strong></p> <ul> <li>5+ years of professional software development experience.</li> <li>Proven track record of rapid prototyping — taking ideas from concept to production-ready in days.</li> <li>Strong command of TypeScript/JavaScript and Python; additional languages (Java, Go, Dart/Flutter) are a plus.</li> <li>Hands-on experience with at least one major agentic AI framework (LangGraph, CrewAI, Google ADK, or similar).</li> <li>Active, proficient use of AI coding agents (Claude Code, OpenAI Codex, Cursor, or similar) as a core part of your development workflow — this is a hard requirement.</li> <li>Demonstrated experience building frontend applications (React, Next.js, or Angular preferred).</li> <li>Experience with version control (Git), CI/CD pipelines, and modern release practices.</li> <li>Familiarity with enterprise platforms such as Databricks, Palantir, Snowflake, or…