Gen AI Implementation Lead/Architect

INES EIT Services India P. Ltd [Formerly Hewlett Packard Global Soft India P.Ltd]; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

DXC Technology is seeking an experienced AI Implementation Lead to drive deployment and adoption of AI solutions across client accounts in Bengaluru. The role requires hands-on experience with Azure or AWS AI services, LLMs, Python, Agentic AI workflows, RAG, enterprise data integration, and AI governance, along with strong client-facing and technical leadership skills.

You will lead end-to-end AI deployments, design and deploy solutions on Azure AI and AWS, build LLM-based apps and AI agents,

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.

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.

Skills

LLMs

Prompt engineering

RAG

AI agents

Agentic AI

Vector databases

Semantic search

Responsible AI

Azure AI

AWS Bedrock

SageMaker

Python

REST APIs

Git

enterprise data integration

ITSM tools

ServiceNow

Jira

BMC

Freshservice

GitHub Copilot

Claude

Cursor

Amazon Q

Microsoft Copilot

Education

Bachelor's or master's in CS/AI/IT

8–12 years IT experience

3–5 years AI/Generative AI implementation

Tools

Azure AI

AWS Bedrock

SageMaker

ServiceNow

Jira

BMC

Freshservice

GitHub Copilot

Claude

Cursor

Amazon Q

Microsoft Copilot

Job description

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.

DXC Technology (NYSE: DXC) is a leading enterprise technology and innovation partner delivering software, services, and solutions to global enterprises and public sector organizations — helping them harness AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed Infrastructure Services, Application Modernization, and Industry‑Specific Software Solutions, DXC modernizes, secures, and operates some of the world's most complex technology estates. Learn more on dxc.com.