Gen AI Implementation Lead/Architect

Job Description:

Gen AI Implementation Lead/Architect

Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai

Experience: 7 Years to 20 Years

Job Summary

We are seeking an experienced AI Implementation Lead to drive the deployment and adoption of AI solutions across multiple client accounts. The ideal candidate should have hands-on experience with Azure or AWS AI services, Large Language Models (LLMs), Python, Agentic AI workflows, RAG, enterprise data integration, and AI governance, along with strong client-facing and technical leadership skills.

Key Responsibilities

• Lead end-to-end implementation of AI solutions across multiple client engagements.
• Design and deploy Generative AI solutions using Azure AI and/or AWS AI platforms.
• Build LLM-based applications, AI agents, Agentic workflows, and RAG solutions.
• Develop Python-based AI applications and integrate enterprise data, APIs, databases, and ITSM platforms.
• Implement prompt engineering, semantic search, vector databases, and AI security/governance best practices.
• Participate in client workshops, architecture discussions, PoCs, and production deployments.
• Address client queries related to AI architecture, security, governance, compliance, and deployment.
• Deliver AI training, documentation, and technical guidance to project teams and end users.

Required Skills

• Strong knowledge of LLMs, Prompt Engineering, RAG, AI Agents, Agentic AI, Vector Databases, Semantic Search, and Responsible AI.
• Hands-on experience with Azure AI (Azure OpenAI, AI Foundry, AI Search) and/or AWS Bedrock, SageMaker.
• Strong programming skills in Python, REST APIs, and Git.
• Experience integrating AI with enterprise applications, databases, APIs, and ITSM tools (ServiceNow, Jira, BMC, Freshservice).
• Familiarity with AI developer tools such as GitHub Copilot, Claude, Cursor, Amazon Q, or Microsoft Copilot.

Qualifications

• Bachelor's or master’s degree in computer science, AI, IT, or related field.
• 8–12 years of IT experience with 3–5 years in AI/Generative AI implementation.
• Hands-on experience delivering production-grade AI solutions on Azure and/or AWS.

Preferred Certifications

• Microsoft Certified: Azure AI Engineer Associate  / Azure Solutions Architect
• AWS Certified Machine Learning Engineer / AI Practitioner  /AWS Solutions Architect
• Generative AI or LLM certifications

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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