AI Solutions Engineer

Job Summary

InnoVet Health is seeking an AI Solution Engineer. In this positon you will build, configure and integrate AI solutions that retrieve and synthesize clinical information from multiple data sources in a secure federal environment.

This role offers remote flexibility, competitive benefits, and the opportunity to shape the technical foundation for responsible AI in federal healthcare.

Responsibilities

• Design, configure and develop AI-enabled search and summarization using large language models (LLMs), retrieval-augmented generation (RAG) and vector/semantic search.
• Build integrations and data pipelines to health record systems and clinical data sources through APIs (e.g., FHIR), including processing unstructured and scanned documents.
• Put guardrails, grounding and source-citation techniques in place to improve accuracy and reduce hallucinations. Support testing and evaluation of model output quality.
• Work in two-week Agile sprints with the scrum team to deliver, enhance and fix features. Produce technical documentation, including model/system documentation.
• Make sure solutions meet federal security and compliance requirements (e.g., Zero Trust, identity/access management, encryption, secure SDLC), and support authorization activities.

Qualifications

• Experience: 8+ years in software or systems engineering, including 3+ years building AI/ML or NLP solutions and 1+ years of hands-on work with LLMs or generative AI in production or pilot settings.
• Education: Bachelor’s degree required in Computer Science, Engineering, Data Science or a related technical field. A Master’s degree is preferred and may substitute for some experience.
• Strong Python skills; experience with LLM frameworks and APIs (e.g., LangChain, LlamaIndex, Azure OpenAI, AWS Bedrock) and vector databases.
• Experience with healthcare data and interoperability standards (HL7, FHIR, C-CDA) and with processing unstructured clinical text or OCR’d documents.
• Cloud engineering experience (Azure or AWS, ideally government regions), containers, CI/CD and infrastructure-as-code.
• Working knowledge of federal security frameworks (NIST 800-53, FedRAMP, FIPS 140) and of protecting PHI under HIPAA.
• Familiarity with responsible/trustworthy AI practices: evaluation, bias testing, red teaming and model documentation.
• Relevant cloud or AI certifications (e.g., Azure AI Engineer, AWS Machine Learning) are a plus.
• Able to obtain a High Risk (Tier 4) background investigation.

Job Type: Full-time

Pay: From $160,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Referral program
• Vision insurance

Application Question(s):

• This position works with government contracts. Under Order 11935, either U.S. Citizenship or valid permanent residency is required. Answer 2 if you are a US citizen, 1 if you have a permanent resident card.
• Please provide the link to your LinkedIn account.

Education:

• Bachelor’s (Required)

Experience:

• software or systems engineering: 5 years (Required)
• building AI/ML solutions: 3 years (Required)
• Generative AI: 1 year (Required)
• Python: 5 years (Required)
• HL7, FHIR or C-CDA: 5 years (Preferred)
• healthcare data and interoperability standards: 5 years (Required)

Work Location: Remote