Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Microsoft Agentic AI Architecture
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring high-quality application pipelines, and integrating generative AI models into various projects. You will also explore advanced techniques such as deep learning, neural networks, and image processing, contributing to cutting-edge solutions that meet the needs of diverse stakeholders.

The Data Architect is responsible for defining the application s data requirements and structure. This includes modeling and designing the application s data architecture, storage solutions, and integration approaches to ensure robust and scalable data management.

Key Responsibilities

- Serve as a subject matter expert in Microsoft Agentic AI solutions, particularly with hands-on experience in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services including Large Language Models (LLMs) and Small Language Models (SLMs).
- Lead the design and architecture of multi-agent systems,



ensuring seamless integration into enterprise environments.
- Collaborate closely with engineering and product teams to deliver innovative GenAI and Agentic AI solutions that drive measurable business impact.
- Define and implement Responsible AI practices throughout the solution lifecycle, ensuring alignment with ethical standards and regulatory requirements.
- Mentor teams on best practices for agentic AI system design, orchestration, and deployment.
- Drive key architectural and technical decisions across diverse projects and teams.
- Facilitate knowledge-sharing sessions and training focused on Microsoft s Agentic AI technology stack.
- Continuously assess solution performance and provide recommendations for optimization in scalability, accuracy, and compliance.

Required Skills and Qualifications

- Must-Have Skills:
- Extensive expertise in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services.
- Strong knowledge of LLMs and SLMs, including fine-tuning, deployment, and enterprise integration.
- Proven track record in designing and implementing agentic AI architectures.
- Practical experience with Python and Visual Studio Code.

Good-to-Have Skills:

- Experience with Microsoft Azure Machine Learning.
- Familiarity with Microsoft Azure OpenAI Service.





Additional Skills:

- In-depth understanding of Responsible AI frameworks and governance policies.
- Ability to collaborate with cross-functional teams to deliver scalable AI solutions.
- Knowledge of compliance and regulatory requirements in the AI domain.
- Strong problem-solving and decision-making skills.

Experience and Education Requirements
Minimum of 12 years of professional experience is required.
At least 8 years of experience working with Microsoft AI technologies.
A minimum of 2 years specializing in Agentic AI Architecture.
10+ years of experience with Azure Platform as a Service (PAAS).
13+ years of overall experience in the IT industry.
15 years of full-time education is mandatory.

As a Microsoft Agentic Architect, the role involves designing, architecting, and deploying advanced Agentic AI solutions within Microsoft s ecosystem. The primary focus is on building scalable multi-agent systems and AI-powered applications using tools such as Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services. The position demands a commitment to responsible development, ethical AI practices, and alignment with organizational objectives. Deep technical expertise, leadership, and cross-functional collaboration are essential for driving innovation in agentic AI.

Additional Information:

- The candidate should have minimum 12+ years of experience in Microsoft Agentic AI Architecture.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

15 years full time education

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