AI Engineer

AI Engineer

Location:

Remote/Hybrid (subject to contract requirements) Clearance:
Must be eligible to obtain and maintain a Public Trust

Criteria:
Need US citizenship because of federal regulations and the sensitive nature of the work involved.

Key

Qualifications:

• 5+ years of experience in AI/ML, Data Science, or Data Engineering
• 3+ years of experience working with healthcare data
• Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies
• Experience with healthcare datasets, including Medicare, Medicaid, claims, provider, beneficiary, or clinical data
• Familiarity with healthcare interoperability standards such as FHIR and HL7
• Experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of HIPAA, healthcare data governance, and federal compliance requirements
• Experience supporting federal healthcare programs or CMS initiatives is highly preferred

Preferred

Skills:

• Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)
• Databricks, Snowflake, Spark/Py Spark
• Healthcare analytics, fraud/waste/abuse detection, risk adjustment, and population health initiatives