You are: 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.
The work:- Translate approved user stories into AFS-compliant agent prompts, ensuring alignment with project objectives and mission outcomes.
- Design the architecture for specialized subagents that operate within the build pipeline - defining each agent's purpose, scope, tools, and boundaries.
- 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.
- Define agent-to-subagent contracts: inputs, context boundaries, structured outputs, confidence and evidence, latency budgets, cancellation behavior, and failure handling.
- Configure, manage, and operate AI build pipelines using generative agentic tools and orchestration frameworks (e.g., Claude, Codex, LangGraph).
- Own and maintain the prompt library including version control, quality scoring, and continuous improvement - refining prompts 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 (SAST, vulnerability scanning) and automated ATO evidence generation for seamless compliance.
- Build rapid prototypes using AI-assisted coding to test complex prompting and data workflows before full implementation.
- Document the work and enable others - producing clear write-ups and becoming the team's expert and trainer on prompting and context practices.
- Collaborate with cross-functional teams including AI Product Leads, Senior AI Engineers, and Verification Engineers to deliver AI solutions successfully.
Here's what you need:- Proven experience in business analysis, solution integration, or solution design.
- Strong background managing and configuring AI build pipelines with generative, agentic AI tooling and agent-orchestration frameworks - such as Claude, Codex, or LangGraph.
- Mastery of LLM prompting with hands-on API experience - command of prompt parameters, components, and conversational LLM outputs.
- Familiarity with CI/CD processes and tools, including security validation and compliance integration.
- Ability to query and 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 systems and managing a prompt library.
- Experience working in agile environments or with scrum methodologies.
- Knowledge of security and compliance processes within the context of AI operations.
Bonus points if you have:- Bachelor's degree in Business, Information Systems, Computer Science, Engineering, or equivalent practical experience.
- Basic coding skills for rapid prototyping and iterating on data/prompting workflows.
- Multimodal prompting experience (images, video) and familiarity with text-embedding models.
- Copywriting, data science, or software engineering background.
- Prior work with conversational LLM outputs and feedback-driven prompt refinement.
- Excellent written communication - able to document work clearly and train others.
Eligibility Requirements: - U.S. Citizenship required.
- Ability to work with federal clients and comply with applicable AFS, client, security, and program requirements.
- Ability to work in a hybrid, remote, or client-site environment as program needs require.
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, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. 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.
The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is:
$64,000-$160,200 USD
