Generative AI Lead, Associate Principal
MathCo, Vernon Hills, IL, United States
We are looking for a
Generative AI Lead
to drive the design and delivery of advanced AI solutions for enterprise clients.
While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. 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 Nice to Have Experience working in
regulated industries
(e.g., healthcare, life sciences, financial services) Familiarity with
vector databases
(e.g., Pinecone, Weaviate) Background xsgimln 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.
Generative AI Lead
to drive the design and delivery of advanced AI solutions for enterprise clients.
While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. 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 Nice to Have Experience working in
regulated industries
(e.g., healthcare, life sciences, financial services) Familiarity with
vector databases
(e.g., Pinecone, Weaviate) Background xsgimln 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.