Harnham
About the Organization
We're partnering with one of the biggest global financial institutions. This firm operates across investment banking, asset management, and market-making - and is now investing heavily in enterprise-scale AI to transform operations and deliver measurable efficiency gains across millions of transactions daily.
The Opportunity
As a VP, AI Engineer, you'll lead the design and deployment of agentic AI solutions that directly drive cost optimization across the organization. You'll be part of a newly formed, high-visibility team working at the intersection of cloud infrastructure, large language models, and enterprise-scale automation.
What You'll Do Architect and deploy agentic AI and LLM-driven systems used across multiple business units Lead development of enterprise-ready AI applications in the cloud (AWS, GCP, Azure) Collaborate with cross-functional teams to scale models to millions of transactions daily Translate business and operational goals into deployable AI solutions Mentor engineers and contribute to the overall AI strategy What We're Looking For
8+ years of commercial experience in AI/ML engineering Proven track record deploying LLMs at enterprise or consumer scale Deep technical expertise in Python, ML frameworks (PyTorch, TensorFlow), and cloud deployment Strong applied background - not purely research or PoC Experience in Big Tech (FAANG), leading startups, or enterprise-scale AI teams Stable career trajectory (ideally 2+ years per role) Nice-to-Haves
Experience leading or mentoring high-performance engineering teams Exposure to agentic frameworks, workflow orchestration, or AI copilots Prior experience in financial services or other highly regulated environments
If this opportunity feels like a strong match for your background, don't hesitate to apply!
We're partnering with one of the biggest global financial institutions. This firm operates across investment banking, asset management, and market-making - and is now investing heavily in enterprise-scale AI to transform operations and deliver measurable efficiency gains across millions of transactions daily.
The Opportunity
As a VP, AI Engineer, you'll lead the design and deployment of agentic AI solutions that directly drive cost optimization across the organization. You'll be part of a newly formed, high-visibility team working at the intersection of cloud infrastructure, large language models, and enterprise-scale automation.
What You'll Do Architect and deploy agentic AI and LLM-driven systems used across multiple business units Lead development of enterprise-ready AI applications in the cloud (AWS, GCP, Azure) Collaborate with cross-functional teams to scale models to millions of transactions daily Translate business and operational goals into deployable AI solutions Mentor engineers and contribute to the overall AI strategy What We're Looking For
8+ years of commercial experience in AI/ML engineering Proven track record deploying LLMs at enterprise or consumer scale Deep technical expertise in Python, ML frameworks (PyTorch, TensorFlow), and cloud deployment Strong applied background - not purely research or PoC Experience in Big Tech (FAANG), leading startups, or enterprise-scale AI teams Stable career trajectory (ideally 2+ years per role) Nice-to-Haves
Experience leading or mentoring high-performance engineering teams Exposure to agentic frameworks, workflow orchestration, or AI copilots Prior experience in financial services or other highly regulated environments
If this opportunity feels like a strong match for your background, don't hesitate to apply!