Lead AI Engineer (AI)

Position Summary

Be Well Health is launching Be Well AI, a platform that brings safe, accurate generative AI tools to our clinical research, cognitive health, and operational teams. We are seeking a Lead AI Engineer to design the system architecture, build and maintain our AI knowledge corpus, and deliver role specific AI assistants.

This is a hands-on leadership role where you will set technical direction, write production code, and guide team members while collaborating closely with Be Well Health leadership on priorities and needs.

Key Responsibilities

• AI Corpus Stewardship: Own end to end pipelines that ingest, validate, version, and continuously refresh company knowledge such as protocols, SOPs, study data, and policies, ensuring the corpus is free of misinformation and aligned with regulatory requirements.

• System and Architecture Design: Define the overall AI stack including LLMs, vector databases, retrieval augmented generation, orchestration, monitoring, and evaluation. Drive decisions on build versus buy, scalability, and security.

• Custom AI Agents: Build and deploy tailored Be Well Health AI assistants for specific roles. Monitor and refine these tools as roles evolve.

• Implementation and Execution: Lead the full project lifecycle including requirements gathering, sprint planning, coding, testing, deployment, documentation, and knowledge transfer.

• Quality and Governance: Implement guardrails, content filters, automated evaluations, and human in the loop review processes to uphold accuracy, privacy (HIPAA), and ethical AI principles.

• Tooling and Automation: Develop internal tools for prompt management, data labeling, synthetic data generation, and model performance dashboards.

• Cross Functional Partnership: Collaborate with Clinicians, Study Acquisition, Regulatory, Compliance, Recruitment, Clinical Operations, and IT Security teams to integrate AI capabilities into existing workflows and surface new opportunities.

• Thought Leadership: Stay current with AI research and industry trends. Recommend and pilot emerging models, frameworks, and best practices.

• Team Building and Mentorship: Assist with recruiting, mentoring, and leading a growing AI engineering team as demand scales.

Reporting and Team Structure

• Reports to the Visionary and CEO

• Collaborates with leaders of all departments

Location and Work Arrangement

• Hybrid work from home office and on location at Be Well Health sites

About Be Well Health

Be Well Health is dedicated to advancing clinical research, cognitive health, and infusion therapies through patient centered care and innovation. By integrating state of the art AI solutions, we empower our teams to deliver faster, safer, and more effective outcomes for the communities we serve.

Minimum Qualifications

• B.S. in Computer Science, Machine Learning, Data Engineering, or related field. M.S. or Ph.D. preferred.

• Five or more years of professional software development experience, including at least two years building production ML or AI systems.

• Proven track record designing, deploying, and maintaining LLM powered applications such as Retrieval Augmented Generation and agent frameworks like LangChain, LlamaIndex, and RAG pipelines.

• Strong Python skills and familiarity with modern ML and AI tooling including PyTorch, TensorFlow, Hugging Face, and OpenAI or Anthropic APIs.

• Experience with data engineering processes including ETL and data validation, vector databases such as Pinecone, Weaviate, pgvector, and cloud platforms like AWS, GCP, or Azure.

• Solid understanding of software engineering best practices including version control, CI/CD, automated testing, and observability.

• Excellent communication skills with the ability to translate complex technical concepts for non technical stakeholders.

Preferred Qualifications

• Background in healthcare, clinical trials, or life sciences data with knowledge of HIPAA, 21 CFR Part 11, and FHIR standards.

• Experience building chatbots or conversational AI in regulated environments.

• Familiarity with data privacy, security, and compliance controls in cloud environments.

• Prior leadership of small engineering teams or mentorship of junior developers.