AI Lead/ Architect

Overview

We are seeking a highly experienced AI Lead / Architect to support evolving AI initiatives. This

role will work closely with Product, Engineering, and Data teams to define, shape, and deliver

practical AI-driven solutions across the organization.

This is a hands-on leadership role, requiring both strategic oversight and the ability to

contribute directly to solution design and implementation.

Key Responsibilities

• Partner with Product and Engineering leadership to identify and prioritize high-impact

AI/GenAI use cases

• Define solution architectures for AI-driven capabilities across data, applications, and

workflows

• Provide hands-on technical leadership (~30–40%) in areas such as prototyping, model

integration, and solution validation

• Guide teams on best practices for leveraging AI/GenAI tools within existing

development workflows

• Support the development of scalable, reusable AI patterns and accelerators

• Collaborate with data teams to ensure strong alignment on data readiness, governance,

and model performance

• Help establish practical frameworks for evaluating and deploying AI use cases in a

controlled and scalable manner

Required Experience

• 10–15+ years of experience in software engineering, data engineering, or related

technical roles

• 5+ years of experience working with AI/ML systems, including recent exposure to

GenAI/LLMs

• Proven experience designing and implementing AI-driven solutions in enterprise

environments

• Strong understanding of:

o LLMs and GenAI ecosystems

o Model integration and APIs (e.g., OpenAI, Azure OpenAI, etc.)

o Data pipelines and data architecture

• Experience working cross-functionally with Product and Engineering teams

• Ability to balance strategic thinking with hands-on execution

Preferred Qualifications

• Experience working in regulated or data-sensitive environments

• Familiarity with tools/platforms such as Azure AI, Databricks, or similar ecosystems

• Prior experience helping organizations adopt AI in a structured, scalable way

• Strong communication skills and ability to influence senior stakeholders

Key Attributes

• Pragmatic and execution-focused

• Comfortable operating in fast-paced, evolving environments

• Strong collaborator with a “build with the team” mindset

• Able to translate complex AI concepts into practical business value