AI Tech Lead

Role Summary

We are seeking a AI Tech Lead 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
• Strong understanding of:
  • Full-stack application development
  • Cloud platforms ( Azure)
  • APIs, microservices, and scalable architectures
• 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