Senior Delivery Manager, GenAI & Agentic Systems
Our AI Practice is growing fast, and we’re looking for a Senior Delivery, GenAI & Agentic Systems Manager to help shape our most important deals and then lead the projects we win. You’ll work with long-standing enterprise clients and new accounts on agentic and multi-agent systems, data and AI platforms, and Physical AI.
This is a full-cycle role. You’ll take the delivery side of a pursuit from first estimate to signed SOW, then run the project yourself through discovery, delivery and closure. Because you deliver what you sign, you’ll have a real say in how each engagement is scoped and planned.
Essential functions
Lead the delivery side of high-value pursuits from intake to signed SOW: shape scope and engagement model, build estimates and team plans, and flag feasibility and delivery risks early.
Help set up the core team for each new pursuit (architect, tech lead and delivery manager) together with engineering and staffing leads.
Lead won projects from discovery and start-up to completion, owning the plan, scope and change control, risks, budget and margin, the team and the client relationship.
Represent the practice in project governance, including kick-offs, discovery and architecture reviews, steering committees and phase-gate risk reviews.
Contribute to the practice’s delivery standards for AI and data projects.
Qualifications
8+ years in delivery management, including leading several data, ML or LLM-based projects end to end and being accountable for more than one project or workstream at a time.
Presales experience: you’ve shaped scope, delivery approach, estimates and team plans for proposals and SOWs with sales and architects, and defended them with the client.
Experience running fixed-price or deliverable-based engagements, including discovery phases, change control, delivery risk and margin.
Enough technical fluency to work with architects on RAG, agentic systems, model evaluation and data pipelines, and to explain the trade-offs and risks to business stakeholders.
Experience running steering committees and handling escalations with client directors and VPs.
Experience leading distributed teams across time zones, including staffing new teams and coaching other managers.
A track record of introducing a delivery standard across several projects or teams (such as estimation guidelines, phase-gate checklists or a delivery playbook), getting managers to adopt it, and using project data to show its impact.
Would be a plus
Hands-on use of AI-assisted engineering practices in delivery, such as agentic coding or an AI-enabled SDLC.
Delivery of large data platform projects, such as migration or modernisation on Databricks or Snowflake.
Projects in industrial, robotics or simulation settings.
A prior portfolio or practice-level role covering delivery governance, cross-project risk management or coaching a pool of delivery managers.
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.Apply to the position
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All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.
