Senior Level Generative AI Engineer Jobs
Senior level generative ai engineer jobs put seasoned practitioners in charge of model architecture decisions, production system ownership, and the cross-functional teams executing on AI strategy. Openings concentrate across Technology & Software, Banking & Financial Services, and Investment & Asset Management, with a 20% remote or hybrid share, and employers like Citi, MathCo, and NVIDIA hiring at this level now.
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INTRODUCTION
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.
ROLE AND RESPONSIBILITIES
- 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
BASIC QUALIFICATIONS
- 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)
PREFERRED QUALIFICATIONS
- 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.
INTRODUCTION
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.
ROLE AND RESPONSIBILITIES
- 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
BASIC QUALIFICATIONS
- 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)
PREFERRED QUALIFICATIONS
- 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.
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Who's Hiring
Top Industries Hiring
- Technology & Software
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- Investment & Asset Management
- Construction & Real Estate
- Retail
Senior Level Generative AI Engineer Jobs: Frequently Asked Questions
How do I get a senior level generative ai engineer job?
Senior level hiring committees look for candidates who have owned the full lifecycle of a generative AI system in production, not just contributed to one. Demonstrable experience fine-tuning or deploying large language models, retrieval-augmented generation pipelines, or multimodal architectures signals readiness. Strong candidates also show they have shaped technical roadmaps, driven cross-team alignment on model choices, and mentored junior engineers through complex implementation challenges.
Which companies hire senior level generative ai engineers?
Companies hiring senior level generative ai engineers right now include Citi, MathCo, and NVIDIA, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers enterprise technology firms, well-funded AI startups, and large organizations in finance, healthcare, and media that are scaling production generative AI capabilities.
Are there remote senior level generative ai engineer jobs?
Yes, remote availability is strong at the senior level given the nature of the work. About 20% of senior level generative ai engineer openings are remote or hybrid as of September 2026, reflecting demand for deep technical expertise that many employers are willing to access regardless of location. On-site roles tend to appear most often at companies with specialized infrastructure or lab environments.
What makes a generative ai engineer role senior level?
Senior level generative ai engineer roles are defined by scope and ownership rather than task completion. At this stage, engineers are expected to make foundational architecture decisions, set evaluation frameworks for model quality and safety, and take accountability for system behavior in production. Mentoring other engineers and partnering with product, research, or business stakeholders to align AI capabilities with organizational goals are core expectations, not optional responsibilities.
Which industries hire the most senior level generative ai engineers?
Senior Level generative ai engineer roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they are investing heavily in building or integrating generative AI into core products, internal workflows, and customer-facing systems at scale.