Generative AI Lead, Pharma/Life Sciences

MathCo; Vernon Hills (IL); On-site; USD 170,000 - 260,000; Full time

Job summary

MathCo is hiring a Generative AI Lead to drive design and delivery of enterprise GenAI solutions. You will operate at the intersection of hands-on engineering, architecture, and technical leadership to build production-grade GenAI systems that solve real business problems.

You will lead architectural design, develop multi-agent systems, and ensure scalable, reliable deployments across cloud environments with a focus on mitigating hallucinations and drift.

Qualifications

• Proven ability to deploy LLM-based or Generative AI applications in production.
• Hands-on experience with Python and modern AI frameworks.
• Experience designing retrieval-augmented generation pipelines and semantic systems.

Responsibilities

• Lead design and development of enterprise-scale GenAI solutions.
• Architect multi-agent AI systems and RAG pipelines.
• Integrate LLM capabilities into business workflows and apps.
• Translate complex problems with stakeholders into scalable AI solutions.
• Mentor engineering teams and uphold high technical quality.
• Ensure reliable deployment, monitoring, and performance of AI systems.

Skills

Python

LangChain

LlamaIndex

RAG pipelines

Cloud platforms

Tools

LangGraph

CrewAI

Job description

We are looking for a Generative AI Lead to drive the design and delivery of advanced AI solutions for enterprise clients.

This role sits at the intersection of hands-on engineering, system architecture, and technical leadership, focused on building production-grade GenAI systems that solve complex, real-world business problems.

What You’ll Do

• Lead the design and development of enterprise-scale Generative AI solutions
• Architect and implement multi-agent AI systems and retrieval-augmented generation (RAG) pipelines
• Integrate LLM capabilities into business workflows and enterprise applications
• Partner with business stakeholders to translate complex problems into scalable AI solutions
• Guide and mentor engineering teams while maintaining a high bar for technical quality
• Ensure reliable deployment, monitoring, and performance of AI systems (including handling hallucinations, drift, and scaling challenges)
• Optimize infrastructure across cloud environments, including compute and GPU utilization

What We’re Looking For

• Proven experience building and deploying LLM-based / Generative AI applications in production
• Strong hands-on expertise in Python and modern AI frameworks (e.g., LangChain, LlamaIndex)
• Experience designing RAG pipelines, semantic search systems, or knowledge retrieval architectures
• Exposure to multi-agent frameworks (e.g., LangGraph, CrewAI) or similar architectures
• Experience working in cloud environments (AWS, Azure, or GCP) and scaling AI systems
• Demonstrated ability to lead technical teams or initiatives
• Strong communication skills with the ability to collaborate with both technical and business stakeholders
• Experience working in regulated industries (e.g., healthcare, life sciences, financial services)

Nice to Have

• Familiarity with vector databases (e.g., Pinecone, Weaviate)
• Background in enterprise AI platform development or data infrastructure

Why This Role

• Opportunity to build real-world GenAI systems at scale (not just prototypes)
• Own end-to-end architecture and delivery, from concept to production
• Work on high-impact use cases across enterprise clients
• Collaborate with cross-functional teams across engineering, product, and business

About MathCo

MathCo is a global Enterprise AI and Analytics company helping Fortune 500 organizations solve complex business problems through data and AI. Our work spans advanced analytics, AI platforms, and scalable solutions that deliver measurable business impact.