Data Platform Engineer

Accenture in India; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Accenture in India is looking for a Data Platform Engineer to assist with designing and implementing data platform solutions that leverage Generative and Agentic AI. The ideal candidate will have at least 5 years of experience and a solid understanding of AI frameworks.

This role involves collaborating with Integration Architects and Data Architects to ensure seamless integration and deliver enterprise-grade solutions that drive innovation and efficiency.

Qualifications

• 5 years of experience is required.
• Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks.

Responsibilities

• Lead AI-driven solution design and delivery by applying GenAI and Agentic AI.
• Automate processes and integrate intelligent insights into workflows.

Skills

Python (Programming Language)

Education

15 years of full-time education

Job description

Project Role

Data Platform Engineer

Project Role Description

Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.

Must have skills

• Python (Programming Language)

Good to have skills

• None

Minimum Experience

5 years of experience is required.

Educational Qualification

15 years of full-time education.

Summary

Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.

Roles & Responsibilities

Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.

Professional & Technical Skills

Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.