Senior Full Stack Developer | AI Forward

About this role

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.

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.

Join us to drive positive, lasting change that moves missions and the government forward!

You are:

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.

The Work:

• Design and build end-to-end AI-powered solutions — from backend agent orchestration to polished, production-ready frontends.

• Develop GenAI solutions leveraging LLMs, autonomous agents, and RAG to power critical federal workflows.

• Rapidly prototype and deliver proof-of-concepts and MVPs that evolve into production systems — measured in days, not weeks or months.

• Build cloud-native, AI-native applications addressing some of the most complex challenges in the Federal space.

• Create responsive, accessible web interfaces and dashboards that surface AI capabilities to non-technical end users.

• Integrate and customize solutions with platforms such as Databricks, Palantir, Snowflake, and ServiceNow.

• Support delivery teams through technical planning, architecture guidance, and hands-on coaching.

Here’s What You Need:

AI & GenAI:

• Deep expertise with LLMs, agentic frameworks, vector databases, semantic search, and RAG pipelines.

• Hands-on experience with frameworks such as LangChain/LangGraph, CrewAI, Google ADK, or equivalent.

• Solid understanding of GenAI concepts including tool invocation, guardrails, memory, and multi-agent orchestration.

• 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.

Full-Stack Engineering:

• Strong frontend skills: component-driven development using React, Next.js, or Angular; proficiency in TypeScript/ JavaScript.

• Ability to build clean, intuitive UIs that make complex AI outputs accessible and actionable.

• Solid backend experience: Python for AI/data workloads; Node.js, Java, or Go for services and APIs.

• Familiarity with relational and non-relational databases: PostgreSQL, MySQL, MongoDB, DynamoDB. Cloud & Infrastructure:

• Advanced experience designing and deploying cloud-native architectures on AWS, Azure, or GCP.

• Proficiency with serverless (Lambda, Azure Functions, Cloud Functions) and container orchestration (Kubernetes, Docker, ECS).

• Strong CI/CD practices and experience building reliable, repeatable deployment pipelines

Engineering Mindset:

• Computer Science fundamentals: OOP, data structures, algorithms, system design.

• Pragmatic approach to architecture — you know when to build vs. integrate, and when perfect is the enemy of shipped.

• Strong sense of ownership; you drive things to completion without needing to be managed.

• Experience mentoring engineers and contributing to a high-quality engineering culture.

Minimum Requirements:

• 5+ years of professional software development experience.

• Proven track record of rapid prototyping — taking ideas from concept to production-ready in days.

• Strong command of TypeScript/JavaScript and Python; additional languages (Java, Go, Dart/Flutter) are a plus.

• Hands-on experience with at least one major agentic AI framework (LangGraph, CrewAI, Google ADK, or similar).

• 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.

• Demonstrated experience building frontend applications (React, Next.js, or Angular preferred).

• Experience with version control (Git), CI/CD pipelines, and modern release practices.

• Familiarity with enterprise platforms such as Databricks, Palantir, Snowflake, or…