AI / ML Engineer
Qualifications
Experience Level: Mid Level
- </b></li><li><br />Proven expertise in Microsoft Azure AI Foundry and Agentic AI (minimum 3 years hands-on experience in Azure AI/ML technologies)</li><li>Strong understanding of AI governance
- observability
- and compliance frameworks.</li><li>Experience designing and deploying AI pipelines on Microsoft Azure.</li><li>Deep knowledge of Azure ecosystem (Azure Machine Learning
- Cognitive Services
- OpenAI
- Synapse
- Logic Apps
- etc.).</li><li>Ability to analyze large-scale AI workloads and optimize for performance
- scalability
- and cost-efficiency.</li><li>Familiarity with regulatory requirements for enterprise AI adoption. <br />Additional Information:</li><li>The candidate should have minimum 3 years of experience in Azure AI/ML technologies.</li><li>A 15 years full time education is required.<br /><br /><b> Qualification</b> 15 years full time education</li>
Full Job Description
About the Role
As an AI / ML Engineer at Accenture in Chennai, you will be instrumental in developing and deploying cutting-edge applications and systems that leverage Artificial Intelligence (AI) and Machine Learning (ML) tools. This role involves utilizing Cloud AI services and establishing robust, production-ready cloud or on-premise application pipelines. You will have the opportunity to apply Generative AI (GenAI) models as part of comprehensive solutions, which may also include deep learning, neural networks, chatbots, and image processing technologies. This position requires a minimum of 3 years of experience and a full-time education of 15 years.
Summary
As an Azure AI Engineer, you will be deeply involved in the design, deployment, and governance of Agentic AI solutions specifically on the Microsoft Azure AI Foundry. Your responsibilities will include ensuring scalable orchestration, effective observability, and strict compliance across all AI projects, while simultaneously fostering innovation in enterprise-grade AI adoption. You will work with a diverse range of AI models, including generative AI, deep learning, and neural networks, and explore innovative applications such as developing advanced chatbots and sophisticated image processing systems. Collaboration with multiple teams is key to delivering secure, efficient, and responsible AI systems, providing technical leadership, and driving organizational transformation through Microsoft's comprehensive AI ecosystem.
Roles & Responsibilities
- Serve as a developer for Microsoft Azure AI Foundry and Agentic AI solutions.
- Design and deploy Agentic AI solutions, effectively leveraging orchestration, pipelines, and observability within Azure AI Foundry.
- Collaborate closely with data scientists, engineers, architects, and business stakeholders to accelerate AI adoption across the organization.
- Ensure that all AI workloads rigorously adhere to enterprise security, compliance, and governance requirements.
- Maintain accountability and ensure high-quality delivery of AI projects.
- Develop and implement scalable solutions for multi-team AI initiatives across the enterprise.
- Monitor solution performance, optimize AI pipelines, and ensure outcomes are aligned with strategic business goals.
Professional & Technical Skills
- Demonstrated expertise in Microsoft Azure AI Foundry and Agentic AI, with a minimum of 3 years of hands-on experience in Azure AI/ML technologies.
- Strong understanding of AI governance, observability, and compliance frameworks.
- Proven experience in designing and deploying AI pipelines on Microsoft Azure.
- In-depth knowledge of the Azure ecosystem, including Azure Machine Learning, Cognitive Services, OpenAI, Synapse, and Logic Apps.
- Ability to analyze large-scale AI workloads and optimize them for performance, scalability, and cost-efficiency.
- Familiarity with regulatory requirements pertinent to enterprise AI adoption.
Location: Chennai
Minimum Experience: 3 years
Educational Qualification: 15 years full time education
Company
