Overview

Position Description

Responsibilities

• Work on cutting-edge technologies
• Collaborate with global teams
• Build a career with purpose and impact
• GCC Hyderabad is building the next generation of enterprise AI capabilities to accelerate innovation, operational excellence, engineering productivity, and intelligent decision making across the Bank.
• We are seeking a visionary, engineering-first GenAIOps Leader to establish and scale our AI Platform, GenAIOps, and Agentic AI ecosystem.
• The AI Leader will lead a strategic greenfield initiative responsible for architecting and building the Bank's enterprise AI foundation, enabling the development, deployment, governance, and operation of Generative AI and Agentic AI solutions at scale.
• This role is responsible for defining the vision, strategy, architecture, operating model, and execution roadmap for AI platforms, AI engineering, Agentic Data Engineering, AI observability, enterprise knowledge systems, and intelligent automation capabilities.
• The leader will collaborate closely with global technology, product, data, and business stakeholders while partnering extensively with teams across Data Engineering, DataOps, MLOps, Data Science, Analytics, Platform Engineering, Enterprise Architecture, Security, Risk, and Compliance.
• This individual should bring deep expertise in distributed systems, cloud native architectures, platform engineering, large scale software development, and modern AI technologies, combined with the ability to build and lead high performing engineering organizations.
• Define and execute the strategy, architecture, and operating model for the Bank's AI Platform, Generative AI, Agentic AI, and GenAIOps capabilities.
• Lead a greenfield initiative to build scalable, secure, and enterprise grade AI platforms that enable AI adoption across the organization.
• Establish GCC Hyderabad as a center of excellence for AI Engineering, Agentic AI, AI Operations, and AI Platform Engineering.
• Drive the development of Agentic AI solutions across software engineering, operations, data engineering, knowledge management, and intelligent automation use cases.
• Build enterprise capabilities for Knowledge Search, Retrieval Augmented Generation (RAG), Knowledge Graphs, Ontologies, Document Intelligence, and Content Extraction.
• Partner closely with Data Engineering, DataOps, MLOps, Data Science, Analytics, Enterprise Architecture, Security, and Risk teams to create a unified AI ecosystem.
• Establish best practices for AI Governance, Responsible AI, AI Observability, AgentOps, model lifecycle management, monitoring, and operational excellence.
• Build and lead high performing teams while mentoring senior engineers, architects, and technical leaders.
• Drive innovation while ensuring scalability, security, regulatory compliance, and measurable business outcomes.

Qualifications

• Category: Business Consulting & IT Strategy
• Base location: India, Telangana, Hyderabad
• Position ID: J0926-2562
• Employment Type: Full-time
• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related discipline.
• 15+ years of overall experience in technology, software engineering, distributed systems, CI/CD, DevOps [BM3] [PD4] etc.
• 3+ years of experience with Generative AI, Agentic AI Orchestrations Frameworks (LangGraph, Langchain, LlamaindexetcStrands, msft agentic framework/autogen), Vetctor Databases and embedding models (Pinecone, MongoDB etc) and Observability Frameworks (Arize Phoenix, Evidently etc).
• Proven experience in senior technical leadership roles such as Principal Engineer, Distinguished Engineer, Chief Architect, Engineering Director, or equivalent.
• Deep expertise in distributed systems, cloud native architectures, microservices, event driven systems, platform engineering, and large scale software development.
• Hands on experience with modern programming languages such as Python, Java, Scala, Go, C#, or TypeScript.
• Strong understanding of CI/CD, DevSecOps, Infrastructure as Code, Kubernetes, cloud platforms, and engineering productivity practices.
• Demonstrated experience delivering AI, Generative AI, Agentic AI, RAG, and AI platform capabilities in production environments.
• Strong understanding of Data Engineering, DataOps, MLOps, AI Observability, and enterprise scale platform operations.
• Solid background in observability, telemetry, reliability engineering, and operational excellence for AI and distributed systems.
• Together, as owners, let’s turn meaningful insights into action.
• Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
• You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
• Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
• You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
• That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.
• Come join our team—one of the largest IT and business consulting services firms in the world.