Senior AI/ML & Data Engineer

Join a federal services team delivering mission-critical AI and data solutions. This onsite role in Chantilly, VA offers a competitive yearly salary of USD 100,200 - 203,400, and the opportunity to design, build, and deploy AI/ML, large language model, and data/cloud pipelines for federal clients while navigating security requirements. We emphasize a culture that respects every individual, supports belonging, and provides equal opportunity to grow and contribute.

What we offer

Work on impactful AI and data initiatives that advance federal missions, with a collaborative environment that values diverse perspectives and continuous development. You will partner with program leadership, technical SMEs, and mission stakeholders to define requirements and AI roadmaps, translating complex business problems into technical solutions. This role is grounded in strong security practices and clear paths for career growth within Accenture Federal Services.

Responsibilities

• Design, develop, and deploy ML models, LLM applications, retrieval augmented generation pipelines, and agentic AI systems.
• Build data preprocessing, training, fine tuning, inference, and evaluation workflows.
• Develop scalable ML pipelines using modern toolchains such as SageMaker, Bedrock, Azure ML, Databricks, Ray, and HuggingFace.
• Implement MLOps solutions including CI/CD for ML, model versioning, monitoring, logging, and drift detection.
• Shape AI system design decisions including vector DB selection, embedding strategies, prompt architecture, and model selection.
• Define target state architectures for LLM enabled applications, AI microservices, RAG pipelines, and knowledge retrieval systems.
• Design, build, and maintain scalable automated data pipelines (ETL/ELT) for batch and real-time processing.
• Architect data lakes and warehouses (Snowflake, Databricks, BigQuery) to support high availability and performance for ML workflows.
• Implement rigorous data quality checks and validation to ensure reliable model inputs and outcomes.
• Collaborate with program leadership, technical SMEs, and mission stakeholders to define requirements and AI roadmaps.
• Translate business problems into technical AI solutions and communicate tradeoffs to mixed audiences.
• Produce architecture diagrams, interface specifications, deployment patterns, and integration plans.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, or related field.
• Experience in AI/ML engineering, cloud-native development, or data engineering.
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
• Hands-on experience with LLM development (OpenAI, Anthropic, Bedrock, Azure OpenAI, HuggingFace Transformers).
• Experience architecting ML pipelines using AWS, Azure, or GCP.
• Familiarity with DevSecOps and IaC tools (Terraform, CloudFormation, Jenkins, GitLab, etc.).
• Experience implementing microservices, APIs, and containerized workloads (Docker, Kubernetes, ECS/EKS/AKS).

Technologies

• SageMaker, Bedrock, Azure ML, Databricks, Ray, HuggingFace Transformers
• Snowflake, BigQuery
• Python, PyTorch, TensorFlow, Scikit-learn
• OpenAI, Anthropic, Azure OpenAI, HuggingFace
• AWS, GCP, Azure
• Terraform, CloudFormation, Jenkins, GitLab
• Docker, Kubernetes, ECS, EKS, AKS
• Pinecone, FAISS, Weaviate, Milvus

Security Clearance

Active Top Secret (TS) security clearance is required, and the ability and willingness to upgrade to TS/SCI with Poly.

What we believe

We are dedicated to serving the US federal government, bringing together top talent to reinvent how agencies operate and deliver greater value for missions and the American people. Our culture emphasizes respect, belonging, and equal opportunity for all, grounded in our core values and the belief that diverse perspectives strengthen our work.

Equal Employment Opportunity

We do not discriminate on the basis of age, race, creed, color, religion, sex, national origin, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other protected characteristic. Our diversity drives innovation and competitiveness.

Requesting an Accommodation

We provide equal employment opportunities and reasonable accommodations during recruiting. If you require accommodation to perform essential functions, you will participate in our reasonable accommodation process. Accommodations provided for recruiting do not guarantee future accommodations.

Other employment statements

• Applicants in the US must have work authorization that does not require visa sponsorship now or in the future.
• Candidates currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
• Disclosures of sealed or expunged records are not required as part of the hiring process.
• Pay discussions and related information are confidential; employees with access to compensation data should not disclose it to others without authorization.