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.
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 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.
#J-18808-Ljbffr
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
Nice to Have
Experience working in
regulated industries
(e.g., healthcare, life sciences, financial services)
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.
#J-18808-Ljbffr