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: Large Language Models (LLMs)

Good to have skills: NA

Minimum 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 application pipelines, ensuring high-quality outputs. You will also explore the integration of generative AI models into solutions, which may encompass various advanced technologies such as deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams will be essential to ensure the successful deployment of these innovative solutions.

Roles & Responsibilities:

• Expected to be an SME.
• Collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Mentor junior team members to enhance their skills and knowledge.
• Continuously evaluate and improve existing processes and workflows.

Professional & Technical Skills:

-Experience in Java and Python
-Experience in AI application development, focusing on cloud-based AI model integration, deployment, and optimization.
-Proficiency in programming languages such as Python, Java, and experience with AI/ML frameworks like Spring AI, Lang Chain, Lang Graph, Llama Index, Agno, Pydantic, Tensor Flow etc.
-Hands-on experience with Azure Cloud Services for AI, including Azure OpenAI and Azure AI Search for developing and deploying AI applications at scale.
-Proficiency in advanced AI architecture patterns, including Retrieval-Augmented Generation (RAG), Agentic RAG, MCP, Functional Calling, A2A especially in an Azure environment.
-Experience in prompt engineering, context engineering, vector databases, embedding/chunking strategies, and real-time data integration.
-Experience in evaluating model output and optimization

Additional Information:

• The candidate should have minimum 5 years of experience in Large Language Models.
• A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com

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