Lead Agentic Deployment Architect

Grant Thornton Bharat Llp; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Grant Thornton Bharat Llp in Bengaluru is seeking a senior leader to own and drive AI-enabled engagements for enterprise clients. You will lead end-to-end customer engagements across the value lifecycle, crafting agentic AI strategies and architectures, and guiding workshops from discovery to value realization.

You will coordinate delivery, manage risks, report progress, and build executive relationships to demonstrate business impact.

Qualifications

• 4+ years in strategic solutioning, advisory, or delivery leadership for enterprise cloud/SaaS.
• Degree in Computer Science or related field.
• Customer-facing delivery experience mandatory.
• Proficiency in Python, JavaScript, Java, or Apex.
• Ability to lead end-to-end engagements from discovery to outcomes.
• Experience in AI/LLM solution design and responsible AI practices.
• Strong PM skills and stakeholder management.
• Willingness to travel to customer sites.

Responsibilities

• Lead end-to-end customer engagements across the complete value lifecycle and own outcomes.
• Define the AI strategy and architecture; run agent design sessions and workshops.
• Oversee delivery timelines, risk, and reporting; act as delivery backbone.
• Own adoption, consumption, and expansion metrics within engagements.
• Coordinate with Forward Deployed Engineers to align strategy with execution.
• Develop customer solutions using AI tools and platforms.
• Manage senior stakeholder relationships and communicate business value.
• Assess AI readiness and guide change management for AI adoption.

Skills

Strategic solutioning

Delivery leadership

End-to-end delivery

Customer-facing delivery

Python/JavaScript/Java/Apex

AI/LLM design

Project/program management

Travel readiness

Education

B.Sc. Computer Science

Tools

Microsoft certifications

Anthropic certifications

Google certifications

Azure certifications

Job description

## Key Responsibilities

• Full Lifecycle Ownership: Lead end-to-end customer engagement across the complete value lifecycle Identify Commit Deploy Consume — owning outcomes at every stage, not just discovery or deal closure
• AI Strategy & Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning agentic AI platform, Data Cloud, and enterprise systems, with responsible AI governance baked in from the start.
• Deployment Oversight & Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks.
• Adoption & Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization
• Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones.
• AI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools: Including
• Cursor, Claude Code, Codex, Windsurf, Antigravity to accelerate development.
• Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail.
• AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents

## Required Qualifications

• 4+ years experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology
• You have a degree in Computer Science or a related field
• Prior customer-facing delivery experience (consulting, professional services, or technical advisory) - this is a requirement, not a nice-to-have
• Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex
• Proven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes
• Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices
• Strong project and program management skills — ability to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments
• Ability to travel to customer site

## Preferred Experience

• Experience designing and deploying AI solutions in regulated industries (e.g., supply chain )
• Platform certifications from Microsoft, Anthropic, Google, Azure.
• Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks
• A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments