AI + Data Engineer

PeopleStrong; Northern (KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

MathCo is seeking a Generative AI Lead to drive the design and delivery of production-grade GenAI solutions for enterprise clients. The role spans hands-on engineering, system architecture, and technical leadership to solve complex business problems.

You will design multi-agent AI systems, implement RAG pipelines, and integrate LLM capabilities into business workflows while guiding engineering teams toward scalable, reliable deployments across cloud environments.

Qualifications

• Proven experience building and deploying LLM-based / Generative AI applications in production.
• Strong hands-on Python and modern AI frameworks (LangChain, LlamaIndex).
• Experience designing RAG pipelines or knowledge retrieval architectures.
• Exposure to multi-agent frameworks (LangGraph, CrewAI) or similar architectures.
• Experience in cloud environments (AWS, Azure, GCP) and scaling AI systems.
• Demonstrated ability to lead technical teams or initiatives.
• Strong communication skills with stakeholders across technical and business domains.

Responsibilities

• Lead the design and development of enterprise-scale Generative AI solutions.
• Architect and implement multi-agent AI systems and RAG pipelines.
• Integrate LLM capabilities into business workflows and apps.
• Partner with stakeholders to translate complex problems into scalable AI solutions.
• Mentor engineering teams and maintain high technical quality.
• Ensure reliable deployment, monitoring, and performance of AI systems.
• Optimize infrastructure across cloud environments and GPU utilization.

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.