Gen AI Implementation Lead/Architect
DXC Technology (company site, opens in a new tab)8–20 yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end design, deployment, and adoption of Generative AI solutions using Azure and/or AWS platforms across multiple client accounts.
- Build and integrate LLM-based applications, Agentic AI workflows, RAG, and Python AI applications with enterprise data, APIs, and ITSM tools.
- Provide client-facing AI architecture consulting, conduct workshops, deliver AI governance, security guidance, and technical training to teams and clients.
Minimum Requirements
- 7 to 20 years total work experience; 8–12 years IT experience with 3–5 years specifically in AI/Generative AI implementation.
- Bachelor's or master's degree in computer science, AI, IT, or related field.
- Hands-on experience deploying production-grade AI solutions on Azure AI (Azure OpenAI, AI Foundry, AI Search) and/or AWS AI (Bedrock, SageMaker).
- Proficient in Python programming, REST APIs, Git, and enterprise data integration with tools like ServiceNow, Jira, BMC, or Freshservice.
Ideal Candidate Profile
- Experienced technical leader with strong client engagement skills capable of handling architecture discussions and deployments in enterprise environments.
- Deep expertise in AI/ML operationalization including LLMs, prompt engineering, RAG, vector search, and AI governance.
- Familiarity with AI developer tools (GitHub Copilot, Claude, Amazon Q, Microsoft Copilot) and cloud AI certifications is a plus.