Context Engineer
Accenturefederalservices · Washington, DC
About this role
**Context Engineer** **About Accenture Federal Services** At Accenture Federal Services, nothing matters more than helping the U.S. federal government make the nation stronger and safer—and life better for people. Join a collaborative, caring community where you’re empowered to grow through hands-on experience, certifications, and industry training. **Role Overview** As a **Context Engineer**, you’ll orchestrate the delivery of **AI-driven solutions** by bridging business analysis, solution design, and integration—ensuring AI has the right context to produce consistently strong, mission-aligned results. You’ll translate approved user stories into **AFS-compliant agent prompts**, design and govern **subagents**, operate the **AI build pipeline**, and own a high-performing **prompt library**. You’ll also integrate with **CI/CD** while upholding **security** and **ATO (Authority to Operate)** compliance standards. **The Work** - Translate approved user stories into **AFS-compliant agent prompts** aligned to project objectives and mission outcomes. - Design specialized **subagent architecture** within the build pipeline (purpose, scope, tools, boundaries). - Build **routing/delegation/escalation logic** (direct answers, subagent invocation, parallel specialists, clarifying questions, tool use, human escalation, and unsafe-action declines). - Define **agent-to-subagent contracts** (inputs, context boundaries, structured outputs, confidence/evidence, latency budgets, cancellation behavior, and failure handling). - Configure and operate **AI build pipelines** using generative agentic tools and orchestration frameworks (e.g., **Claude, Codex, LangGraph**). - Own and maintain the **prompt library** (version control, quality scoring, continuous improvement based on reviewed outputs and feedback). - Create and maintain **RAG knowledge bases** and query prior context files for precedent and predictive insight before authoring new prompts. - Oversee and integrate **CI/CD pipelines**, embedding security validations (e.g., **SAST**, vulnerability scanning) and automated **ATO evidence generation**. - Build rapid prototypes using **AI-assisted coding** to test prompting and data workflows before full implementation. - Document work clearly and enable others—becoming the team’s expert and trainer on prompting and context practices. - Collaborate with cross-functional teams (AI Product Leads, Senior AI Engineers, Verification Engineers) to deliver AI solutions. **Here’s What You Need** - Proven experience in **business analysis, solution integration, or solution design**. - Strong background managing/configuring **AI build pipelines** with generative, agentic AI tooling and orchestration frameworks (e.g., **Claude, Codex, LangGraph**). - Mastery of **LLM prompting** with hands-on **API experience** (prompt parameters, components, and conversational outputs). - Familiarity with **CI/CD** processes and tools, including security validation and compliance integration. - Ability to query/analyze **structured data** and prior context files to derive actionable insights. - Understanding of **AI build pipelines**, **subagent orchestration**, and **RAG** knowledge-base creation. - Familiarity with **version control** and managing a **prompt library**. - Experience working in **agile** environments / Scrum. - Knowledge of **security and compliance** processes for AI operations. **Bonus Points** - Bachelor’s degree in Business, Information Systems, Computer Sc
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