Federal AI/ML Engineer — GenAI & Production Pipelines

Accenture-Federal-Services-2; Washington (District of Columbia); On-site; USD 103,000 - 196,000; Full time

Job summary

Accenture Federal Services seeks an experienced ML engineer to design, build, and deploy GenAI/ML solutions for federal clients. You will lead end‑to‑end pipelines, integrate with data platforms, and ensure robust governance and security across deployments.

Qualified candidates have 3–6+ years in ML/AI and 3+ years leading technical teams, with Python/SQL and cloud AI tooling experience. Public Trust eligibility and US citizenship are required.

Qualifications

• US Citizen (Public Trust Eligible).
• 3–6+ years in machine learning engineering, data science, or AI development.
• 3+ years leading technical teams to achieve objectives and outcomes.

Responsibilities

• Partner with stakeholders to identify AI/ML use cases and translate needs into technical solutions.
• Design, build, fine‑tune, and evaluate ML/GenAI models using Vertex AI, Gemini, and open‑source tools.
• Develop end‑to‑end ML pipelines including data ingestion, feature engineering, orchestration, CI/CD.
• Deploy scalable models and agents; monitor, detect drift, and troubleshoot in production.
• Collaborate with data engineering to ensure high‑quality data architecture (BigQuery, Dataflow, Pub/Sub).
• Implement Responsible AI, security, governance, and compliance best practices.
• Work cross‑functionally with product owners, platform teams, DevOps/SRE, and junior engineers.
• Perform hands‑on experimentation, prototyping, EDA, hyperparameter tuning, and documentation.

Skills

Python

SQL

LLMs/GenAI concepts

TensorFlow / PyTorch

Cloud AI concepts

Education

Master’s degree (preferred)

Tools

Vertex AI

Gemini

BigQuery

Dataflow

Pub/Sub

Kubernetes

Job description

Accenture Federal Services seeks an experienced ML engineer to design, build, and deploy GenAI/ML solutions for federal clients. You will lead end‑to‑end pipelines, integrate with data platforms, and ensure robust governance and security across deployments.

Qualified candidates have 3–6+ years in ML/AI and 3+ years leading technical teams, with Python/SQL and cloud AI tooling experience. Public Trust eligibility and US citizenship are required.