AI Tech Lead

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

Key qualifications required

* 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

* Strong experience designing and delivering solutions on Microsoft Azure

* 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

* 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 experience:

* Experience in finance or asset and wealth management

This role is exciting because:

High-impact role on cutting-edge AI/ML initiatives with leading global financial and data-driven enterprises.

Opportunity to shape next-generation GenAI solutions alongside an elite engineering and data science team.

Competitive compensation and benefits package.

Please fill this Google form to apply: https://forms.gle/3igEqfewzrcfBE7K7