Role & responsibilities

- Lead the architecture, design, and hands-on implementation of enterprise-scale Generative AI and Agentic AI solutions using Infosys and industry-standard tools/platforms such as GitHub Copilot, Claude Code, Cursor, and frameworks including Autogen, LangGraph, CrewAI, Google ADK/SDK, MCP ecosystem, and similar AI orchestration frameworks.
- Drive end-to-end AI transformation initiatives by defining solution approaches, implementation strategies, governance practices, and scalable delivery models across Quality Engineering and business functions.
- Design, develop, and optimize complex AI agents, multi-agent systems, and autonomous workflows integrating LLMs, enterprise applications, APIs, databases, and testing ecosystems.
- Provide deep hands-on technical leadership in prompt engineering, agent instruction design, skill file creation, grounding strategies, context management, memory handling, and orchestration logic to improve reliability and accuracy of AI solutions.
- Lead AI Assurance and governance initiatives for AI-infused applications, including validation of functional accuracy, safety, hallucination detection, bias assessment, explainability, performance benchmarking, and responsible AI compliance.
- Establish reusable frameworks, accelerators, standards, and best practices for AI engineering, AI testing, and agent development to improve productivity, scalability, and engineering quality.
- Collaborate with client leadership, enterprise architects, product owners, and cross-functional teams to shape AI roadmaps, solution architecture, innovation programs,



and strategic transformation initiatives.
- Act as a technical mentor and AI practice leader by guiding teams on up-to-date AI engineering patterns, agentic frameworks, automation strategies, and emerging GenAI technologies while remaining actively involved in development and problem-solving activities.
- Lead PoCs, innovation programs, and enterprise pilot implementations to demonstrate measurable business outcomes and accelerate AI adoption across accounts.
- Work extensively with cloud and AI ecosystems such as Azure OpenAI, AWS Bedrock, Vertex AI/GCP, vector databases, MCP servers, and enterprise AI deployment architectures.
- Stay ahead of emerging trends in Generative AI, Agentic AI, LLMOps, AI Assurance, and autonomous agent ecosystems, and drive adoption of next-generation AI capabilities within the organization and client engagements.

Preferred candidate profile

- Bachelors degree in computer engineering or equivalent
- 10--12 years of experience in Data Science, AI, ML and Gen AI area using any programming or scripting languages.
- Strong communication and collaboration skills.
- Proficiency in Python development or any other language used for Data Science or AI ML.
- Excellent analytical and problem-solving skills.
- Explore and evaluate new technologies and tools to improve our development processes.
- Contribute to the full software development lifecycle, from design and implementation to testing and deployment.
- Experience with cloud platforms like AWS, Azure, or GCP.
- Hands-on Generative AI based solution implementation

📌 Generative AI / Agentic AI - Testing Consultant - Pan India (Hyderabad)
🏢 Infosys
📍 Hyderabad