Our client, a global consulting firm, is supporting a leading enterprise on a large-scale AI transformation initiative focused on building and scaling GenAI capabilities across business functions. As part of this strategic program, the organisation is investing in a centralized AI platform that will enable the development, deployment, and governance of AI-powered solutions across the enterprise.

The consultant will serve as the Lead Architect and Engineering Manager for this initiative, driving the design and implementation of the enterprise GenAI platform while leading engineering teams across the technology stack. This is a highly visible role that combines technical leadership, hands-on architecture, and delivery ownership to help the organisation establish scalable, secure, and production-ready AI capabilities.

Key Responsibilities

• Lead the architecture, design, and implementation of an enterprise-wide AI and GenAI platform supporting multiple business use cases.
• Drive the development of LLM-powered solutions, including conversational AI, RAG-based applications, agentic workflows, and AI-enabled business processes.
• Lead and mentor engineering teams across the technology stack, providing both strategic direction and hands-on technical guidance.
• Partner closely with business, product, data, and engineering stakeholders to define platform requirements and execution roadmaps.
• Oversee end-to-end engineering activities including proof-of-concepts, development, deployment, testing, documentation, and production support.
• Establish platform governance, observability, KPIs, and service-level monitoring to ensure scalability, reliability, and operational excellence.
• Develop and execute support transition and sustenance plans while ensuring adherence to defined operational and service standards.
• Provide technical leadership on cloud-native AI architectures, secure enterprise deployments, and AI platform best practices.

Your Background

• 15+ years of technology leadership experience, with recent hands-on experience building and scaling GenAI or AI platforms in enterprise environments.
• Proven expertise in LLM-based applications, prompt engineering, RAG architectures, agentic AI frameworks, and conversational AI solutions.
• Strong experience leading enterprise-scale engineering teams while remaining actively involved in architecture and solution design.
• Deep understanding of cloud-native AI ecosystems (Azure preferred), including AI/ML services, deployment frameworks, MLOps, and platform engineering.
• Experience designing secure, scalable, and production-grade AI solutions with strong governance and compliance considerations.
• Demonstrated ability to work effectively with senior business stakeholders, product teams, and engineering organisations.
• Prior experience in financial services, healthcare, technology consulting, or other data-intensive industries is preferred.
• Bachelor's degree in engineering, Computer Science, or a related discipline; advanced qualifications are advantageous.

Other Info

• Location: Mumbai (on-site)
• Contract Duration: 12 months, with potential for extension based on project requirements and performance.
• The consultant may be required to travel periodically to project locations as part of the engagement.