Context::

We are looking for a hands-on AI & Agentic Lead to build product-grade AI solutions for SMEs and enterprise clients.

Our focus is on Copilot agents, solutions built with Azure AI Foundry, and custom applications combining Python backends with React frontends. You will turn business needs into reliable products, with security, usability, evaluation, and maintainability built in from day one.

Alongside client delivery, you will develop reusable IP and frameworks, guide technical innovation and governance, and strengthen our consulting team through practical technical evaluations.

Key responsibilities::

Build and deliver AI solutions

- Own technical delivery from solution design through implementation, deployment, and continuous improvement.
- Build agents with Microsoft Copilot Studio and Azure AI Foundry, including enterprise integrations and business workflows.
- Develop custom AI applications with Python APIs and services, using React for user-facing experiences.
- Select the right approach for each client, balancing platform capabilities, customization, cost, and operational needs.
- Apply product-grade engineering from the start: automated testing, CI/CD, authentication, access controls, monitoring, and transparent documentation.
- Define evaluations and acceptance criteria that demonstrate solution quality and business value.

Develop reusable assets and drive innovation

- Create reference architectures and accelerators for Copilot, Azure AI Foundry, and custom AI solutions.
- Turn project experience into tested, documented assets that improve delivery speed and consistency.
- Evaluate emerging capabilities through practical experiments and benchmarks, bringing proven improvements into our delivery framework.

Embed governance and technical standards

- Establish engineering standards for secure, reliable, and maintainable AI applications.




- Build governance into solutions through data protection, agent permissions, human approval, audit trails, and evaluation.
- Lead architecture and code reviews, with attention to reliability, performance, cost, and supportability.
- Adapt controls to each client’s risk and operating requirements while keeping solutions practical to manage.

Develop team capability

- Define competency standards and practical assessments for Python, AI engineering, and Microsoft AI platform roles.
- Lead technical evaluations through code reviews, architecture discussions, and realistic implementation exercises.
- Assess candidates’ coding ability, engineering judgment, and readiness to deliver product-grade client solutions.
- Provide evidence-based hiring recommendations and mentor consultants through delivery work.

What you bring::

- Strong hands-on Python engineering skills, including API development, testing, and application architecture.
- Practical experience with Microsoft Copilot Studio and/or Azure AI Foundry, with the ability to work across our core stack.
- Experience delivering AI applications into production, including agents, tool calling, retrieval, and enterprise integrations.
- Ability to build or guide React frontends and connect them to secure Python services.
- Experience with Azure deployment, identity and access management, CI/CD, and application monitoring.
- A track record of creating reusable frameworks, libraries, or delivery accelerators.
- Confidence working with SME and enterprise stakeholders, translating business needs into appropriate technical solutions.
- Experience mentoring engineers and evaluating technical capability through practical assessments.

What success looks like::

AI products that clients can use and operate confidently from their first release; reusable IP that accelerates subsequent projects; and a strong technical team delivering consistently across Copilot, Azure AI Foundry, and custom Python–React solutions.

📌 AI & Agentic Automation Lead (India)
🏢 ATCON GLOBAL
📍 India