Based in Chantilly, VA onsite, the Senior AI/ML & Data Engineer at Accenture Federal Services designs, builds, and deploys AI and data pipelines for federal clients, with security clearance requirements and a salary range of USD 100,200 to 203,400 per year.
Responsibilities
- Design, develop, and deploy ML models, LLM apps, RAG pipelines, and agentic AI systems.
- Build end-to-end workflows for data preprocessing, training, fine tuning, inference, and evaluation.
- Construct scalable ML pipelines using toolchains such as SageMaker, Bedrock, Azure ML, Databricks, Ray, and HuggingFace.
- Implement MLOps practices including ML CI/CD, model versioning, monitoring, logging, and drift detection.
- Guide AI system design decisions, including vector DB selection, embedding strategies, prompt architecture, and model choice.
- Define target architectures for LLM enabled applications, AI microservices, RAG pipelines, and knowledge retrieval systems.
- Design, build, and maintain scalable ETL/ELT data pipelines for batch and real-time processing.
- Architect data lakes and warehouses (Snowflake, Databricks, BigQuery) to ensure high availability and performance for ML workflows.
- Implement rigorous data quality checks and validation frameworks to prevent garbage in, garbage out scenarios.
- 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 diverse 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 Python proficiency and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
- Hands-on experience with LLM development (OpenAI, Anthropic, Bedrock, Azure OpenAI, HuggingFace Transformers).
- Experience architecting ML pipelines on AWS, Azure, or GCP.
- Familiarity with DevSecOps and infrastructure as code 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
- Terraform
- CloudFormation
- Jenkins
- GitLab
- Docker
- Kubernetes
- ECS
- EKS
- AKS
- Pinecone
- FAISS
- Weaviate
- Milvus
Security Clearance
Active Top Secret TS clearance is required, with ability and willingness to upgrade to TS/SCI with Poly.
What We Believe
Accenture Federal Services focuses on serving US federal agencies with a culture that respects all employees, fosters belonging, and offers equal opportunity, underpinned by our core values and commitment to diverse perspectives.
Equal Employment Opportunity
No one shall be discriminated against on the basis of age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other protected characteristic. All employment decisions are made without regard to these factors.
Accommodation
We provide reasonable accommodations for applicants with disabilities or religious observances, as part of the recruitment process and in the workplace as needed.
Other Employment Statements
- US work authorization is required without current or future visa sponsorship obligations.
- Candidates currently employed by a client of Accenture Federal Services or an affiliated Accenture entity may not be eligible.
- Applicants are not required to disclose sealed or expunged records as part of the hiring process.
- Employees with access to compensation information must not disclose pay details to those without access.
- California residents: additional information may be required if you reside in or plan to work from Los Angeles County.
