Lead GEN AI Architect

Genpact

Bengaluru

Hybrid

INR 3,000,000 - 6,000,000

Full time

14 days+
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Job summary

Genpact in Bengaluru is seeking an experienced Offshore Delivery Leader to own end-to-end delivery for GenAI-led enterprise programs, guiding large distributed teams across onsite-offshore models and multiple client stakeholders.

You will drive sprint cadences, manage program risk, governance, and SOW alignment, while deep-diving into GenAI architecture and reporting to steering committees.

The role emphasizes client management, capacity planning, and building AI skills through a GenAI academy.

Qualifications

  • 12–18+ years in IT/software delivery, with 3–5 years leading large offshore or blended delivery teams.
  • Proven GenAI/AI program delivery end-to-end (production delivery, not just POC).
  • Strong Agile/Scrum delivery at scale; SAFe experience a plus.
  • Experience managing SOWs and client contracts with various models.
  • Experience with enterprise client relationships at director/VP level.

Responsibilities

  • Own end-to-end GenAI/AI program delivery across multiple pods.
  • Lead onsite-offshore delivery across time zones with predictable velocity.
  • Drive sprint cadences, release planning, and governance reporting.
  • Manage program-level risks and mitigation.
  • Oversee hiring, onboarding, and upskilling for AI skills.
  • Coach and develop 30+ FTE teams.

Skills

Delivery leadership
GenAI program delivery
Agile/Scrum delivery
SOW & contract management
Executive stakeholder management
People management

Job description

We are looking for an experienced Offshore Delivery Leader to own end-to-end delivery for GenAI-led enterprise programs, managing large distributed teams across onsite-offshore models, multiple client stakeholders, and complex SOW/commercial structures. This role sits at the intersection of technical delivery, program governance, and client relationship management someone who can go deep into a GenAI architecture conversation in the morning and hold a steering committee update in the afternoon.

Key Responsibilities
Delivery Ownership
  • Own end-to-end delivery for one or more GenAI/AI-native programs (agentic workflows, LLM integration, MCP-based data/tooling integration, RAG pipelines, GenAI-infused QA/testing, legacy modernization with AI accelerators, etc.)
  • Manage delivery across onsite-offshore pods, ensuring consistent velocity, quality, and predictability regardless of time zone spread
  • Drive sprint/iteration cadences, release planning, and delivery governance (status reporting, RAID logs, steering committee updates)
  • Own program-level risk management — technical risk, staffing risk, scope creep, and dependency risk — and drive mitigation before issues escalated to the client Team & People Management
  • Manage large, matrixed teams (30–100+ FTEs) spanning architects, engineers, QA, business analysts, and scrum masters across multiple pods/PODs
  • Build and manage capacity plans, including pod scaling models, use-case intake and complexity scoring, and bench/utilization management
  • Drive hiring, onboarding, and upskilling — including running or feeding a GenAI academy/training pipeline to build bench depth in emerging AI skills
  • Manage performance, career development, and attrition for a large offshore team
Client & Stakeholder Management
  • Serve as the primary offshore delivery point of contact for client stakeholders (delivery leads, product owners, procurement/sourcing, CXO-level sponsors where required)
  • Run governance forums — biweekly/monthly status reviews, QBRs, executive steering committees
  • Manage client expectations on scope, timelines, and commercial boundaries, especially where fixed-price or outcome-based commitments are in play
  • Handle escalations calmly and directly, owning the resolution rather than deflecting upward
Commercial & SOW Management
  • Understand and manage delivery against SOW terms — fixed price, T&M, unit/milestone pricing, or hybrid rate-card models
  • Partner with sales/solutioning teams on SOW drafting, effort estimation, and commercial structuring for renewals and change requests
  • Track margin, utilization, and delivery cost against committed rates; flag commercial risk early
  • Support RFP/proposal responses with delivery-side inputs (staffing models, delivery methodology, risk mitigation, past performance evidence)
GenAI Technical Fluency
  • Maintain working technical depth in GenAI concepts — LLM application patterns, agentic architectures, MCP/tool integration, prompt engineering fundamentals, RAG, and AI-assisted SDLC/QA tooling — enough to credibly review architecture decisions and challenge technical teams, not just report status
  • Partner with solution architects to ensure delivery approach aligns with client's AI platform standards and security/compliance requirements
  • Champion GenAI-led productivity improvements within the delivery org itself (AI-assisted coding, automated testing, ticket triage/routing, etc.)
Required Qualifications
  • 12–18+ years in IT/software delivery, with at least 3–5 years leading large offshore or onsite-offshore blended delivery teams
  • Demonstrated experience delivering at least one significant GenAI/AI program end-to-end (not just POC-stage — real production delivery)
  • Strong grounding in Agile/Scrum delivery at scale; experience with SAFe or similar scaled frameworks a plus
  • Proven experience managing SOWs, commercial models (T&M, fixed price, outcome-based, rate cards), and client contract nuances
  • Experience managing enterprise client relationships at director/VP level, including handling escalations and governance forums independently
  • Strong people management track record — hiring, performance management, capacity planning for teams of 30+.
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