or apply directly on Accenture Federal Services's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days Accenture Federal Services's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Accenture Federal Services's roles list one
- Ghost-job risk at Accenture Federal Services
- low 0 stale, 12 reposted of 650 open
- Hiring momentum
- 883 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Accenture Federal Services's own greenhouse board since 2026-08-03. Full hiring picture for Accenture Federal Services.
About this role
The AI/ML Engineer role at Accenture Federal Services involves designing, building, and optimizing intelligent systems using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Daily tasks include developing RAG pipelines, creating LLM-powered applications, and collaborating with cross-functional teams to deliver scalable solutions. The position requires a blend of modern AI engineering and traditional computer science skills, focusing on both prototyping and production-grade delivery.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Accenture Federal Services as an employer.
What you need
- Hands-on experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks
- Strong programming skills in Python; familiarity with Java/C++ is a plus
- Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace)
- Solid understanding of algorithms, data structures, APIs, and distributed systems
- Experience with cloud platforms (AWS or Azure) and containerization (Docker)
- Ability to work across structured and unstructured datasets
Nice to have
- Experience building production-ready AI/ML systems, including CI/CD or MLOps frameworks (MLFlow/BentoML)
- Understanding of data governance, security constraints, and model risk management
- Ability to communicate complex technical concepts to non-technical stakeholders
Worth weighing
- No salary listed for this specific role
- Role requires active TS/SCI clearance, which may limit candidate pool
- Position involves both prototyping and production work, which may appeal to different types of engineers
Summarised from Accenture Federal Services's posting. Read the full original.
Listed by Accenture Federal Services on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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