AI / ML Engineer

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Microsoft Foundry Good to have skills : Azure OpenAI Service, Microsoft Azure Machine Learning Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an Azure AI Engineer, you will engage in the design, deployment, and governance of Agentic AI solutions on Microsoft Azure AI Foundry. You will ensure scalable orchestration, observability, and compliance across AI projects while driving innovation in enterprise-grade AI adoption. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. You will collaborate with multiple teams to deliver secure, efficient, and responsible AI systems, while providing technical leadership and enabling organizational transformation through Microsoft s AI ecosystem. Roles & Responsibilities: Serve as the developer for Microsoft Azure AI Foundry and Agentic AI . Design and deploy Agentic AI solutions leveraging orchestration, pipelines, and observability in Azure AI Foundry. Collaborate with data scientists, engineers, architects, and business stakeholders to drive AI adoption. Ensure AI workloads meet enterprise security, compliance, and governance requirements. Ensuring accountability and high-quality delivery. Provide scalable solutions for multi-team AI initiatives across the enterprise. Monitor solution performance, optimize pipelines, and align outcomes with business goals. Professional & Technical Skills: Proven expertise in Microsoft Azure AI Foundry and Agentic AI (minimum 3 years hands-on experience in Azure AI/ML technologies) Strong understanding of AI governance, observability, and compliance frameworks. Experience designing and deploying AI pipelines on Microsoft Azure. Deep knowledge of Azure ecosystem (Azure Machine Learning, Cognitive Services, OpenAI, Synapse, Logic Apps, etc.). Ability to analyze large-scale AI workloads and optimize for performance, scalability, and cost-efficiency. Familiarity with regulatory requirements for enterprise AI adoption. Additional Information: The candidate should have minimum 3 years of experience in Azure AI/ML technologies. A 15 years full time education is required. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.