Context Engineer

<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>A Context Engineer, pivotal in orchestrating the delivery of AI-driven solutions - bridging business analysis, solution design, and integration to ensure AI has the right context to produce consistently strong, mission-aligned results. You translate approved user stories into AFS-compliant agent prompts, designs and governs the subagents that execute them, operates the AI build pipeline, and owns a high-performing prompt library. You integrate seamlessly with CI/CD pipelines while upholding security and ATO (Authority to Operate) compliance standards.</p> <p><strong>The work:</strong></p> <ul> <li>Translate approved user stories into AFS-compliant agent prompts, ensuring alignment with project objectives and mission outcomes.</li> <li>Design the architecture for specialized subagents that operate within the build pipeline - defining each agent's purpose, scope, tools, and boundaries.</li> <li>Build routing, delegation, and escalation logic that determines when the system answers directly, invokes a subagent, runs specialists in parallel, asks a clarifying question, uses a tool, escalates to a human, or declines an unsafe action.</li> <li>Define agent-to-subagent contracts: inputs, context boundaries, structured outputs, confidence and evidence, latency budgets, cancellation behavior, and failure handling.</li> <li>Configure, manage, and operate AI build pipelines using generative agentic tools and orchestration frameworks (e.g., Claude, Codex, LangGraph).</li> <li>Own and maintain the prompt library including version control, quality scoring, and continuous improvement - refining prompts based on reviewed outputs and feedback.</li> <li>Create and maintain RAG knowledge bases and query prior context files for precedent and predictive insight before authoring new prompts.</li> <li>Oversee and integrate CI/CD pipelines, embedding security validations (SAST, vulnerability scanning) and automated ATO evidence generation for seamless compliance.</li> <li>Build rapid prototypes using AI-assisted coding to test complex prompting and data workflows before full implementation.</li> <li>Document the work and enable others - producing clear write-ups and becoming the team's expert and trainer on prompting and context practices.</li> <li>Collaborate with cross-functional teams including AI Product Leads, Senior AI Engineers, and Verification Engineers to deliver AI solutions successfully.</li> </ul> <p><strong>Here’s what you need:</strong></p> <ul> <li>Proven experience in business analysis, solution integration, or solution design.</li> <li>Strong background managing and configuring AI build pipelines with generative, agentic AI tooling and agent-orchestration frameworks - such as Claude, Codex, or LangGraph.</li> <li>Mastery of LLM prompting with hands-on API experience - command of prompt parameters, components, and conversational LLM outputs.</li> <li>Familiarity with CI/CD processes and tools, including security validation and compliance integration.</li> <li>Ability to query and analyze structured data and prior context files to derive actionable insights.</li> <li>Understanding of AI build pipelines, subagent orchestration, and RAG knowledge-base creation.</li> <li>Familiarity with version control systems and managing a prompt library.</li> <li>Experience working in agile environments or with scrum methodologies.</li> <li>Knowledge of security and compliance processes within the context of AI operations.</li> </ul> <p><strong>Bonus points if you have:</strong></p> <ul> <li>Bachelor's degree in Business, Information Systems, Computer Science, Engineering, or equivalent practical experience.</li> <li>Basic coding skills for rapid prototyping and iterating on data/prompting workflows.</li> <li>Multimodal prompting experience (images, video) and familiarity with text-embedding models.</li> <li>Copywriting, data science, or software engineering background.</li> <li>Prior work with conversational LLM outputs and feedback-driven prompt refinement.</li> <li>Excellent written communication - able to document work clearly and train others.</li> </ul> <p><strong>Eligibility Requirements:  </strong></p> <ul> <li>U.S. Citizenship required.</li> <li>Ability to work with federal clients and comply with applicable AFS, client, security, and program requirements.</li> <li>Ability to work in a hybrid, remote, or client-site