Senior AI Engineer
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Senior AI Development Engineer L4 designs, builds, and operates full-stack applications that integrate advanced AI/ML capabilities. The role focuses on agentic architecture, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to deliver secure, scalable, enterprise solutions. The engineer partners closely with product, data science, and platform teams to deliver AI-powered experiences using Gemini Enterprise and Microsoft Copilot while adhering to responsible AI and regulatory requirements.
Duties and Responsibilities:
- Architect, develop, and maintain full-stack services and user interfaces integrating LLMs, agents, and RAG pipelines.
- Design agentic solutions (planning, tool-use, memory) and orchestration for multi-step workflows.
- Operationalize Gemini Enterprise and Microsoft Copilot integrations, including identity, permissions, and governance.
- Implement secure data grounding with vector databases (embeddings, chunking, indexing) and guardrails.
- Build evaluation frameworks for AI quality (precision/recall, hallucination checks, safety filters) and telemetry.
- Own CI/CD for AI-enabled services, including automated tests (unit/integration), canary deployments, and rollbacks.
- Collaborate with product teams and stakeholders to scope, estimate, and prioritize AI features and platform capabilities.
- Conduct performance tuning and cost optimization for LLM usage (token budgeting, caching, prompt design).
- Document architecture, APIs, prompts, and operational runbooks; train and support partner teams.
- Participate in design/code reviews, retrospectives, and continuous improvement initiatives.
- Ensure compliance with HIPAA, security, and Responsible AI policies (privacy, explainability, monitoring, incident response).
- Participate in on-call rotation to support critical issues.
- Maintain compliance with company policies, procedures, and mission statement.
- Adhere to all confidentiality and HIPAA requirements as outlined in company operating policies.
- Fulfill additional responsibilities as reasonably assigned to support operational and financial success.
- Uphold responsibilities related to separation of duties for applicable processes and procedures.
- Understand that job description may change as business needs dictate; notice will be provided.
Job Requirements:
- 5+ years software development experience (Python, TypeScript/JavaScript, C# or Java) with strong design/debug skills.
- Full-stack frameworks (e.g., React/Next.js, Angular, .NET, Spring) and REST/GraphQL API development.
- Cloud deployment on AWS, Azure and/or Google Cloud (Functions/App Service/Cloud Run, Kubernetes), IaC (Bicep/Terraform).
- Secure application development (authN/authZ, secrets, encryption, threat modeling) and compliance awareness.
- CI/CD (GitHub Actions/Azure DevOps), automated testing, and monitoring (App Insights/Cloud Logging).
Required Technical Skills (AI/ML & LLM Expertise)
- Hands-on experience with LLM platforms: Gemini Enterprise, Microsoft Copilot; OpenAI or Anthropic experience a plus.
- Agent frameworks and orchestration (e.g., LangChain/LCEL, Vertex AI Agents, Azure OpenAI orchestration, function/tool calling).
- RAG pipelines (document ingestion, text splitting, embeddings, retrieval strategies such as hybrid/BM25, re-ranking).
- Vector databases (e.g., BigQuery vector, Vertex Matching Engine, Azure Cognitive Search, Pinecone) and metadata schemas.
- Prompt engineering and safety guardrails (system prompts, tool descriptions, content filters, grounding, JSON outputs).
- Evaluation & observability (prompt/unit tests, offline eval sets, A/B testing, tracing, metrics for accuracy, latency, cost).
- MLOps for LLMs (model/version management, feature stores, secrets, key rotation, quota management).
Education:
- BS/BA in Computer Science, Software Engineering, or related field; MS/PhD preferred.
- Experience delivering AI-enabled features in production, at enterprise scale.
- Strong communication and collaboration skills with a growth mindset.
- Certifications a plus: AWS Certified Developer, Google Cloud (Vertex AI/Gemini), Microsoft (Azure AI/AI-900), PMP/CBAP for project leaders.
Physical Demands and Work Environment:
- Sedentary work (i.e., sitting for long periods of time).
- Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
- Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions.
- Subject to inside environmental conditions.
- Travel for this position will include less than 10% locally usually for training purposes.
Inovalon Offers a Competitive Salary and Benefits Package
In addition to the base compensation, this position may be eligible for performance-based incentives.
The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That’s why Inovalon offers a valuable benefits package with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
