In Chantilly, Virginia, this on-site role sits at the forefront of federal AI and data initiatives, blending advanced machine learning with secure data and cloud pipelines. The Senior AI/ML & Data Engineer shapes the technical direction for AI capabilities across federal programs, combining hands-on engineering with strategic collaboration to meet mission-critical requirements while maintaining security clearance standards. The position offers a competitive annual salary in the six-figure range and requires a minimum of five years of relevant experience along with a Bachelor’s or Master’s degree in a related field.
Responsibilities
- Architect and implement ML models, large language model apps, RAG pipelines, and autonomous AI systems.
- Create end-to-end data workflows for preprocessing, training, fine-tuning, inference, and evaluation.
- Build scalable ML pipelines using modern toolchains such as SageMaker, Bedrock, Azure ML, Databricks, Ray, and HuggingFace.
- Implement ML operations (MLOps) including ML CI/CD, model versioning, monitoring, logging, and drift detection.
- Guide AI system design decisions, covering vector databases, embedding strategies, prompt architecture, and model selection.
- Define target architectures for LLM-enabled applications, AI microservices, RAG pipelines, and knowledge retrieval systems.
- Design, construct, and maintain scalable automated data pipelines (ETL/ELT) 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 a related field.
- Background 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 designing 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) security clearance is required, and the ability and willingness to upgrade to TS/SCI with Poly.
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. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, est
Equal Employment Opportunity
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, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, wh
Requesting an Accommodation
Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations o
Other Employment Statements
- Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
- Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
- Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
- The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, un
- California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
