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Tria Federal

Senior AI Engineer - Data Scientist

Posted 10 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Lead the design and deployment of AI capabilities focusing on LLM solutions and healthcare ontologies, ensuring data governance and compliance.
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 Who we are:

Tria Federal delivers digital services and technology solutions that support the health and safety of veterans, service members and civilians. For two decades, federal agencies have relied on Tria companies to advance their critical missions and modernize their systems, so that they can uphold their commitment to the American people. Today, we are pushing the boundaries of possibility through partnerships and investments in artificial intelligence and emerging technologies, developing solutions for the biggest challenges that government will face tomorrow.

We are proud to employ and support military veterans who bring mission-first mindset, technical expertise, and leadership qualities that strengthen our work. Veterans, transitioning service members, and military spouses are strongly encouraged to apply.



Job Description:

We’re seeking a Senior AI Engineer / Data Scientist to lead the design, deployment, and scaling of enterprise AI capabilities—specifically large language model (LLM) solutions, LLMOps practices, and the development of a healthcare ontology/knowledge graph to enhance a complex data environment.


Responsibilities

  • Ontology & Knowledge Graph
    • Design and maintain a healthcare ontology to normalize CMS data across claims, providers, and workflows.
    • Build and manage knowledge graphs (RDF/OWL or property graph) to support semantic search, inference, and RAG augmentation.
    • Develop graph data pipelines for ingestion, transformation, and entity resolution aligned with governance standards.
    • Collaborate with SMEs to define controlled vocabularies and create reusable semantic APIs for analytics and AI.
  • GenAI & LLMOps
    • Architect and operationalize LLMs for production use cases including RAG, agentic workflows, and MCP tools.
    • Build LLM evaluation and safety frameworks (prompt quality, grounding, hallucination detection, bias checks) with automated testing and human-in-the-loop reviews.
    • Design cost- and latency-aware pipelines with observability for performance and reliability.
    • Implement LLMOps best practices: prompt versioning, CI/CD for artifacts, rollout strategies, and A/B testing.
    • Integrate vector databases and optimize chunking, embeddings, and retrieval for high-quality responses.
  • Platform & System Architecture
    • Support productionalization of AI/ML workflows with automated quality checks and lifecycle orchestration.
    • Ensure data security, governance, and CMS compliance.
    • Contribute to high-level system design for integrating new AI capabilities into a cloud-based analytics platform.
    • Maintain documentation and acceptance criteria for system changes.

Basic Qualifications

  • Education/Experience: 10+ years with BS/BA; 8+ years with MS/MA; 5+ years with PhD in Computer Science, Data Science, or related field.
  • Hands-on experience with LLMs and GenAI solutions, including prompt engineering, RAG architecture, and LLMOps practices.
  • Proven experience in ontology design and knowledge graph development for complex data-driven systems.
  • Experience with Databricks, Snowflake, and AWS Cloud Services.
  • Proficiency in Python and SQL (Snowflake SQL).
  • Experience with CI/CD workflows and automated deployments.
  • Familiarity with Scaled Agile Framework (SAFe).
  • Excellent communication skills and ability to work independently.
  • US Citizenship required.

Preferred Qualifications

  • Experience with Databricks E2 components (Unity Catalog, Feature Store).
  • Knowledge of CMS systems and Medicare/Medicaid data.
  • Familiarity with LLM/GenAI tooling (LangChain, LlamaIndex, Hugging Face, AWS Bedrock).
  • Experience with vector databases and RAG orchestration.
  • Knowledge graph tools: Neo4j, TigerGraph, AWS Neptune, RDF/OWL, SPARQL, Gremlin, Cypher, Protégé.
  • Model lifecycle & governance: MLflow, Model Registry, feature stores, LLM safety testing.
  • Observability & automation: GitHub Actions/Jenkins, Terraform, Docker/Kubernetes, Prometheus/Grafana.

Why Tria?
What defines the Tria brand is more than just our dedication to excellence in our craft; it’s our incredible team of dedicated, talented, and passionate people that make Tria so exceptional. As people powering possible, we are all partners in our team’s shared success.

As a company that cares about people, we seek to cultivate a culture in which all can thrive personally and professionally. We offer a top-tier benefits package to invest in your physical, mental, and financial health and wellness so that you can be your best self - at work and in life. At Tria, we are growth-minded, entrepreneurial in spirit, and committed to fostering a culture of inclusion and opportunity for all. Whatever your background, your role, your department, or stage in your professional journey, here you will have opportunities to learn new skills, seize new challenges, and advance your career as we grow. 


California Consumer Privacy Act (CCPA)

We are committed to protecting your privacy. As part of our compliance with the California Consumer Privacy Act (CCPA), we want to inform you about how we collect, use, and protect your personal information during the job application process. For more details, please review https://www.oag.ca.gov/privacy/ccpa.

Top Skills

Aws Cloud Services
Aws Neptune
Databricks
Docker
Genai
Github Actions
Grafana
Jenkins
Kubernetes
Llms
Neo4J
Prometheus
Python
Snowflake
SQL
Terraform
Tigergraph

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