AI Technology Lead

Role Summary

We are seeking an AI Technology 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:

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