AI / ML Engineer

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.  Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.  Join us to drive positive, lasting change that moves missions and the government forward! The work:  Key Responsibilities: Partner with stakeholders to identify and refine AI/ML use cases; translate business needs into technical solutions. Design, build, fine‑tune, and evaluate ML and GenAI models (LLMs, RAG, embeddings, deep learning) using Vertex AI, Gemini, and open‑source tools. Develop end‑to‑end ML pipelines, including data ingestion, feature engineering, orchestration, and CI/CD for models and prompts. Deploy scalable models and agents; manage monitoring, drift detection, and production troubleshooting. Collaborate with data engineering teams to ensure high‑quality data architecture using BigQuery, Dataflow, Pub/Sub, and Feature Store. Implement Responsible AI, security, governance, and compliance best practices (IAM, encryption, auditing). Work cross‑functionally with product owners, platform teams, DevOps/SRE, and junior engineers to deliver reliable AI solutions. Perform hands‑on experimentation, prototyping, EDA, hyperparameter tuning, and documentation of pipelines and workflows. Here is what you need: US Citizen (Public Trust Eligible) 3–6+ years in machine learning engineering, data science, or AI development. 3+ years of experience in leading technical teams to achieve objectives and outcomes. Experience includes  Developing and implementing technical standards, systems and processes for cloud and on-prem environments. Recommending technology strategies and decisions with a high-level of expertise and knowledge. Providing technical direction and support to ensure compliance with standards and guidelines Google Storage: Access control, versioning, encryption, lifecycle management, storing logs, handling backups, managing static files, working with ML workflows, Storage Transfer Service, Cloud Storage, Cloud Storage for Firebase, Filestore, Google Workspace Essentials, Local SSD, Persistent Disk Languages: Python, SQL ML & GenAI: TensorFlow, PyTorch, scikit-learn, Transformers, LLM fine tuning, RAG architectures Cloud: Vertex AI, Gemini APIs, BigQuery, Cloud Storage, KMS, IAM Data Pipelines: Vertex AI Pipelines, Dataflow, Pub/Sub, Feature Store Experience with Vertex AI Search, Agents, RAG solutions, or vector databases (e.g., Vertex Vector Search, Pinecone, Milvus). Experience deploying AI workloads on Kubernetes or microservices architectures Google Cloud Professional certification (ML Engineer, Data Engineer, or Architect) Hands-on experience with Vertex AI, Gemini APIs, or other cloud-based AI/ML platforms. Strong Python development skills and familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn). Strong understanding of LLMs, embeddings, vector search, and generative AI techniques. Preferred Experience: Master’s degree; prior federal or regulated industry experience (FedRAMP, HIPAA, NIST) Knowledge of Responsible AI, bias mitigation, and model interpretability Familiarity with GCP operational tools (IAM, KMS, Logging/Monitoring, VPC, Cloud Storage) Exposure to AWS/Azure equivalents or third-party tools (security, observability, DevOps) 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: $103,200 — $196,400 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, anc