AI Engineer

Summary

Join Precision Medicine Group as an AI Engineer and design, build, and deploy innovative AI-powered products and productivity solutions. Collaborate with stakeholders to translate business ideas into real-world applications using Azure/AWS, modern AI frameworks, and off-the-shelf platforms. Partner with the Enterprise AI Solutions Architect and engineering teams to implement enterprise solutions. Build scalable, user-facing solutions using GenAI, CoPilot, and enterprise AI tools. Shape how AI is used across the organization, impacting both internal productivity and customer-facing services. This role requires strong software engineering skills and a deep understanding of AI technologies.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field
• 3+ years of hands-on experience in machine learning engineering or AI solution delivery
• Proven experience building and operationalizing models at scale using structured and unstructured data
• Experience working with Agile (SAFe) teams, iterative delivery cycles, and DevOps practices
• Ability to convert experimental models into high-performing, reliable production services
• Strong software engineering fundamentals, with a focus on model observability, testing, and automation
• Clear communicator who can distill technical detail for non-technical stakeholders
• Agile mindset with comfort in fast-paced, iterative environments
• Deep appreciation for data privacy, bias mitigation, and responsible AI practices. Commitment to ethical AI development and AI governance principles

Responsibilities

• Collaborate with business stakeholders to translate ideas into AI-powered products and services
• Build and deploy enterprise-ready AI solutions using LLMs, semantic search, text-to-SQL, and other GenAI capabilities
• Implement productivity solutions using Microsoft CoPilot, Office AI tools, and other enterprise platforms
• Rapidly prototype and iterate on AI applications using Azure, AWS, and off-the-shelf tools
• Partner with the AI Solutions Architect to ensure scalable, secure, and compliant system design
• Develop APIs and lightweight UIs (e.g., Streamlit, FastAPI, Snowflake Cortex) to deliver AI tools to end users
• Stay current on emerging AI technologies, including vector databases, RAG pipelines, and productivity AI platforms
• Drive delivery of AI components aligned with product roadmaps and business priorities

Preferred Qualifications

• Prior success in deploying GenAI or LLM-based applications in enterprise or healthcare settings is a strong asset
• Experience working within a clinical regulated industry, and developing CRF Part11 compliant solutions
• Experience with Microsoft 365 CoPilot, Office AI tools, or similar productivity AI platforms
• Experience integrating knowledge graphs (e.g., Neo4j, RDF/SPARQL, AWS Neptune) into AI pipelines for semantic reasoning and structured context

Benefits

• Health insurance
• Retirement savings benefits
• Life insurance and disability benefits
• Parental leave
• Paid time off for sick leave and vacation
• Discretionary annual bonus