Custom Software Engineer 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 7.5 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.

📌 Artificial Intelligence and Machine Learning Engineer (Mumbai)
🏢 Accenture India Private
📍 Mumbai