Context Engineer

The role

A Context Engineer orchestrates the delivery of AI-driven solutions by bridging business analysis, solution design, and integration. This role involves translating user stories into agent prompts, designing subagent architectures, and managing AI build pipelines.

What you will do

• Translate approved user stories into AFS-compliant agent prompts.
• Design architecture for specialized subagents within the build pipeline.
• Build routing, delegation, and escalation logic for AI systems.
• Define agent-to-subagent contracts including inputs and context boundaries.
• Architect and maintain the end-to-end context layer.
• Configure, manage, and operate AI build pipelines using generative agentic tools.
• Own and maintain the prompt library with version control and quality scoring.
• Create and maintain RAG knowledge bases.
• Oversee and integrate CI/CD pipelines with security validations.
• Build rapid prototypes using AI-assisted coding.

Required qualifications

• 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.
• Familiarity with CI/CD processes, including security validation and compliance integration.
• Ability to query and analyze structured data and prior context files.
• 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.

Nice to 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.

Benefits

• Certifications
• Industry training
• Hands-on experience

Before you apply

• U.S. Citizenship required.
• Ability to work with federal clients and comply with AFS, client, security, and program requirements.
• Applicants must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
• Candidates currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.

About the company

Accenture Federal Services is a technology company within global Accenture that helps the US federal government. Its 13,000+ people work across defense, national security, public safety, civilian, and military health organizations.