AI/ML Full Stack Engineer
Accenture Federal Services is seeking a Senior AI Full-Stack Engineer who 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
- 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
What we’re looking for:
AI & GenAI:
- Deep expertise with LLMs, agentic frameworks, vector databases, semantic search, and RAG pipelines.
- 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.
What you’ll need:
- 5 years of professional software development experience
- Hands-on experience with at least one major agentic AI framework (e.g.: LangGraph, CrewAI, Google ADK, or similar)
- Experience with AI coding agents (e.g.: Claude Code, OpenAI Codex, Cursor, or similar) as a core part of your development workflow
- Demonstrated experience building frontend applications (e.g.: React preferred, or Next.js, or Angular)
Bonus Points if you have:
- Experience with rapid prototyping (taking ideas from concept to production-ready in days)
Clearance:
Must have a TS/SCI level government clearance with a willingness to sit for a polygraph
#clearancejobs
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
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