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Strong Tier‑1 bank and metro locations increase visibility, but senior, niche ML/AI leadership narrows candidate pool.
Requires deep ML/AI engineering and LLM multi-agent expertise, making cross-industry transitions difficult.
Director-level, specialized ML/AI skills, production-grade engineering and governance requirements create strict mandatory filters.
Lead design and engineering of AI-powered solutions focusing on customer experience, security, scalability, and performance.
Define and implement AI engineering strategy, architecture, and design patterns, ensuring secure and production-ready solutions.
Provide technical leadership for Lending AI Agent Platform and drive adoption of AI engineering best practices and governance at scale.
Significant experience in software engineering, software/database design, and architecture within Agile and DevOps environments.
Experience leading software development teams in a matrix structure and executing technical strategies.
Strong expertise in test-driven development with automated testing frameworks, mocking, stubbing, and unit testing tools.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in AI agent loop engineering including feedback, verification, retry strategies, and telemetry controls.
Proven track record designing and implementing multi-agent workflows with frontier LLMs balancing quality, latency, and cost.
Able to translate complex product and business requirements into effective technical AI engineering solutions.