AI Technology Lead

Role Summary We are seeking a AI Tech Lead with 10+ years of experience to lead the delivery of GenAI-powered applications and data science solutions from concept through production. This role sits at the intersection of engineering, data science, and business, requiring strong project management discipline combined with hands-on technical expertise. The ideal candidate can manage complex technical programs, guide a team of developers and data scientists, actively contribute to solution design and development of GenAI solutions.

Key Responsibilities:

AI Technology Lead Location:

NYC / NJ

Program & Delivery Management

• Own end-to-end delivery of GenAI and data science projects, from requirements through deployment and post-production support
• Translate business problems into clear technical scope, milestones, and delivery plans
• Manage project timelines, dependencies, risks, and issue resolution across multiple workstreams
• Drive Agile execution (Scrum / Kanban), including sprint planning, standups reviews, and retrospectives
• Ensure delivery meets quality, security, compliance, and performance standards
• Technical Leadership (Hands-on)
• Act as a technical lead/partner to developers and data scientists Contribute directly to:
• Solution architecture and design
• Code reviews and technical decision-making
• Proofs of concept and rapid prototyping Guide implementation of GenAI applications, including :
• LLM integration (e.g., OpenAI, Gemini, Claude, open-source models)
• Prompt engineering, RAG pipelines, embeddings, vector databases
• Model evaluation, guardrails, and responsible AI practices Full-Stack & Data Understanding
• Understand and guide full-stack development across:
• Frontend (React, Angular, or similar)
• Backend APIs and services (Python, Java, Node.js, etc.)
• Data pipelines and feature engineering Partner with data scientists on:
• Model development and experimentation
• MLOps / LLMOps workflows
• Deployment, monitoring, and retraining strategies Team & Stakeholder Management
• Manage and mentor a cross-functional team of engineers, data scientists, and analysts
• Coordinate across product, architecture, security, and business stakeholders
• Communicate technical progress, risks, and trade-offs clearly to both technical and non-technical audiences
• Foster a culture of engineering excellence, ownership, and continuous improvement

Required Qualifications Experience:

• 10+ years of experience delivering technical projects in software engineering,
• data, or AI domains
• 3+ years leading projects involving AI/ML or GenAI technologies
• Proven experience managing engineering and data science teams
• Hands-on experience delivering production-grade applications, not just prototypes Technical Skills
• Strong experience designing and delivering solutions on Microsoft Azure
• Understanding of core Azure services, including: Azure OpenAI Service and GenAI integrations, Azure Data Factory, Azure Functions, App Services, AKS (Azure Kubernetes Service), Azure Blob Storage Ø Strong understanding of :
• Full-stack application development
• Cloud platforms ( Azure)
• APIs, microservices, and scalable architectures Ø Solid knowledge of GenAI concepts, including:
• LLMs, embeddings, vector search, RAG architectures
• Model limitations, hallucinations, evaluation techniques
• Experience with data science workflows, MLOps, or LLMOps is highly desirable
• Comfortable reviewing code and contributing when needed Project Management Skills
• Strong Agile delivery expertise
• Experience managing complex, ambiguous problem spaces
• Excellent risk management and dependency tracking
• Ability to balance speed, quality, and technical debt Preferred Qualifications Experience in finance or asset and wealth management