Build AI that matters. We ship production GenAI apps for confidential federal programs across defense, national security, public safety, civilian, and military health where reliability, privacy, and safety aren’t optional. AFS is a technology company within global Accenture and a Glassdoor Top 100 Best Place to Work. You’ll join a collaborative, inclusive community with handson growth, certifications, and industry training. We ship in weeks, not quarters, and measure success with latency, reliability, safety, and cost.
Confidentiality matters: We don’t disclose program details publicly. If you advance, we’ll share specifics during the process.
Role Overview
You’ll turn mission needs into secure, reliable, and scalable GenAI applications no model training required. This is a hands-on role across agentic workflows, RAG, prompt/policy design, LLM evaluation, and platform integration. You’ll own the end-to-end path from use case evaluation → production deployment → operational excellence, partnering with product, security, data, and SRE to ship features safely and at scale.
What You’ll Do (Day to Day)
- Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments; target low hallucination, tight p95 latency, and predictable cost.
- Agent frameworks & orchestration: Apply patterns from LangChain/LlamaIndex/Semantic Kernel; design task decomposition, tool use, guardrails, and recovery/fallback strategies.
- Platform integration (no model training): Implement with AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra, and managed services (e.g., Document AI, Gemini, Gemma).
- LLM selection & evaluation: Compare models for quality, safety, latency, cost; author/test prompts & policies; deploy with observability and safe rollback/fallback.
- RAG done right: Build retrieval pipelines & vector search (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma); handle data prep, chunking, metadata, and IRstyle evals (e.g., NDCG) to maximize signal to noise.
- Production rigor: Instrument metrics/logs/traces; run A/B experiments; maintain incident playbooks; and implement safety & compliance guardrails.
- SRE & FinOps for AI: Define SLIs/SLOs (quality/latency/safety/cost), run on call and postmortems, reduce MTTR; meter usage and optimize token/spend.
- Reusable platform components: Ship SDKs, CI/CD templates, Terraform/IaC modules, evaluation harnesses that accelerate multiple mission team not one-off projects.
- Operate in real world constraints: Deliver into hybrid, restricted, or air gapped environments with Zero Trust principles and audit ready controls.
You'll Thrive Here If you have
- End-to-end ownership of production systems: integration → deployment → observability → incident response.
- Hands-on experience with LLMs, transformer based apps, and RAG in production.
- Strong Python
- Experience with vector search and retrieval (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma) and grounding AI in enterprise/mission data.
- U.S. Citizenship
Nice to Have
- Integration with leading cloud AI services or on prem inference stacks
- Background in LLM evaluation, prompt authoring/testing, A/B experimentation, and LLM Ops.
- Responsible AI expertise (privacy, security, bias, transparency, human in the loop) and data governance.
- Experience implementing tool using agents for API integration and external data access.
- Containerization & orchestration (Docker, Kubernetes, VMware) and scripting/automation (Linux Bash, PowerShell).
- Prior work in regulated/secure environments (e.g., ATO, STIGs, Zero Trust) with fast shipping.
- Familiarity with NVIDIA AI Foundations, OpenAI ChatGPT, and AI assisted dev tools (Cursor, Windsurf, Claude).
- Contributions to internal frameworks or opensource; mentorship of engineers.
- Clear communication with engineers, PMs, and security/compliance stakeholders.
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.
Skills Required
- Strong Python
- Hands-on production experience with LLMs, transformer-based apps, and RAG
- Experience with agent frameworks and orchestration patterns (LangChain, LlamaIndex, Semantic Kernel)
- Platform integration experience with AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra, and managed Document AI services
- Experience with vector search and retrieval (Pinecone, Weaviate, OpenSearch, pgvector, FAISS, Chroma)
- End-to-end ownership of production systems including deployment, observability, and incident response
- Define and operate SLIs/SLOs, run on-call, and perform FinOps for AI (metering/optimizing token spend)
- U.S. Citizenship
- Ability to deliver into hybrid, restricted, or air-gapped environments with Zero Trust and audit-ready controls
- Experience authoring/testing prompts, policies, and conducting LLM evaluation and A/B experimentation
- Responsible AI expertise (privacy, security, bias, transparency) and data governance
- Experience implementing agents for API integration and external data access
- Containerization and orchestration (Docker, Kubernetes, VMware) and scripting/automation (Bash, PowerShell)
- Prior work in regulated/secure environments (ATO, STIGs, Zero Trust)
- Contributions to internal frameworks or open-source and mentorship experience
- Clear communication with engineers, product managers, and security/compliance stakeholders
What We Do
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture LLP. It empowers US federal agencies to reinvent their operations and deliver missions faster using technology and AI. By leveraging mission expertise and commercial innovation, the company provides solutions in cloud, data, and cybersecurity to help the government make the nation stronger, safer, and more resilient.
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