AI Tech Lead – Wealth & Asset Management Full-time Newark, NJ (hybrid)

Job Summary: AI Technology Lead (Associate Director)

This is a high-impact leadership role at the intersection of engineering data science and business strategy. As an AI Technology Lead you will own the end-to-end delivery of production-grade GenAI applications and data science solutions. You will provide hands-on technical guidance to a cross-functional team of developers and scientists while maintaining the project management discipline required to move complex AI programs from concept to deployment.

Key Deliverables

• Production-Grade GenAI Applications: End-to-end delivery of scalable AI solutions including the implementation of RAG pipelines LLM integrations and robust vector search architectures.

• Technical Milestones & Roadmaps: Translation of ambiguous business problems into clear technical scopes Agile delivery plans (Scrum/Kanban) and production deployment schedules.

• Validated Solution Architectures: Designing secure compliant and performant architectures on Microsoft Azure ensuring seamless integration between frontend backend and data pipelines.

• Technical Proofs of Concept (PoCs): Rapid development of prototypes and prototypes to validate technical feasibility and guide decision-making for long-term production builds.

Must-Have Requirements

• Extensive Technical Leadership: At least 10 years of experience in software engineering or AI with a minimum of 3 years specifically leading AI/ML or GenAI-focused projects.

• Hands-on GenAI Expertise: Deep technical knowledge of LLMs (OpenAI Gemini etc.) prompt engineering embeddings RAG architectures and responsible AI guardrails.

• Azure Cloud Proficiency: Strong experience designing and delivering solutions using the Microsoft Azure ecosystem specifically Azure OpenAI Service AKS Data Factory and App Services.

• Full-Stack & MLOps Oversight: Ability to guide development across the full stack (React Python/) and partner with data scientists on MLOps/LLMOps workflows and monitoring.

• Agile Program Management: Proven expertise in driving Agile execution managing complex dependencies and communicating technical trade-offs to both senior leadership and technical teams.