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Metro location, popular AI role, established brand and broad generative-AI demand create high competition.
Regulated financial-services and governance requirements create high domain specificity despite transferable AI engineering skills.
Multiple mandatory generative-AI, Azure/cloud, RAG/vector search, and regulated-environment requirements enforce strict filtering.
Design, build, deploy, and optimize AI/ML solutions including AI-powered applications, APIs, and automation within a regulated financial services environment.
Develop and maintain Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector search, and integrate large language models (LLMs) for enterprise applications.
Ensure code quality, system performance, security compliance, observability, and governance while collaborating with cross-functional teams to deliver scalable AI capabilities.
Strong software engineering experience in Python with hands-on experience building production-grade AI solutions, especially with generative AI, LLMs, prompt engineering, embeddings, vector search, and RAG pipelines.
Proven experience delivering quality AI solutions in enterprise-scale, regulated environments such as banking, insurance, pensions or asset management.
Experience with cloud platforms (preferably Microsoft Azure), containerization (Docker/Kubernetes), CI/CD pipelines (Azure DevOps or equivalent), and AI monitoring tools for model performance and governance.
Educational Qualification: Bachelor’s degree in any discipline; Work Experience Required: Proven AI and software delivery experience in enterprise environments (exact years not specified).
Experienced in leading AI engineering efforts within regulated financial services with strong domain understanding of governance, security, and operational resilience.
Proficient in collaboration with product, architecture, data, risk, and business teams to translate complex problems into scalable AI solutions.
Demonstrated technical leadership and mentoring skills, contributing to AI standards, reusable frameworks, and continuous improvement initiatives in fast-paced agile settings.