Virtusa
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Technical Program Manager
role at
Virtusa Role
TPM Location
USA Experience
12–18 years Key Responsibilities
Own end-to-end delivery of the AI program across multiple workstreams (Agentic development, RAG, data pipelines, evaluation, automation). Develop and manage program roadmap, milestones, dependencies, risks, and status reporting. Drive structured Agile execution with sprint planning, backlog prioritization, and release management. Ensure program operates under a managed service model with defined SLAs, KPIs, and governance cadences. Collaborate with AI Architects, ML Engineers, and Product Managers to define technical scope, agent architecture, and integration requirements. Understand and guide teams on: Vertex AI workflows, endpoints, pipelines, evaluations Gemini / Gemini 1.5 / 2.0 models and multimodal use cases Google Workspace APIs (Docs, Sheets, Slides), tool integrations, and Corp-run environments Convert high-level use cases into detailed functional and technical requirements. Act as primary point of contact for customer engineering, product, UX, and leadership teams. Drive cross-geo collaboration between India and US teams ensuring overlap and continuity. Provide executive-ready program updates, risk escalations, mitigation strategies, and dependency tracking. Manage vendor teams, resource allocations, onboarding, SLAs, and change management. Ensure operational KPIs—velocity, quality, MTTR/MTTD, automation %, and ROI—are consistently met. Key Skills & Qualifications
10–15 years of program management experience in software + AI projects. Strong understanding of Google AI products: Seniority level
Mid-Senior level Employment type
Full-time Job function
Project Management and Information Technology Industries
IT Services and IT Consulting
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Technical Program Manager
role at
Virtusa Role
TPM Location
USA Experience
12–18 years Key Responsibilities
Own end-to-end delivery of the AI program across multiple workstreams (Agentic development, RAG, data pipelines, evaluation, automation). Develop and manage program roadmap, milestones, dependencies, risks, and status reporting. Drive structured Agile execution with sprint planning, backlog prioritization, and release management. Ensure program operates under a managed service model with defined SLAs, KPIs, and governance cadences. Collaborate with AI Architects, ML Engineers, and Product Managers to define technical scope, agent architecture, and integration requirements. Understand and guide teams on: Vertex AI workflows, endpoints, pipelines, evaluations Gemini / Gemini 1.5 / 2.0 models and multimodal use cases Google Workspace APIs (Docs, Sheets, Slides), tool integrations, and Corp-run environments Convert high-level use cases into detailed functional and technical requirements. Act as primary point of contact for customer engineering, product, UX, and leadership teams. Drive cross-geo collaboration between India and US teams ensuring overlap and continuity. Provide executive-ready program updates, risk escalations, mitigation strategies, and dependency tracking. Manage vendor teams, resource allocations, onboarding, SLAs, and change management. Ensure operational KPIs—velocity, quality, MTTR/MTTD, automation %, and ROI—are consistently met. Key Skills & Qualifications
10–15 years of program management experience in software + AI projects. Strong understanding of Google AI products: Seniority level
Mid-Senior level Employment type
Full-time Job function
Project Management and Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr