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AI Technical Project Manager

Acme Services Private Limited•India
Full-time
₹24 LPA - ₹25 LPA
per year
👁️ 0 views•📝 0 applications•Posted 10/10/2026•Expires 11/9/2026
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Job Description

: • Lead End-to-End AI Solution Delivery Own delivery planning and execution across AI initiatives from discovery, experimentation and PoC through MVP/Beta, production rollout and subsequent scaling, establishing clear milestones, outcomes and delivery accountability. • Drive Technical Planning & Dependency Management Work closely with AI Engineers, Solution Architects, Data teams and platform teams to manage dependencies across LLMs, RAG pipelines, agentic frameworks, APIs, cloud infrastructure, enterprise applications and data sources , proactively identifying and resolving delivery blockers. • Coordinate Cross-Functional AI Delivery Teams Bring together Business SMEs, Product/BA, UX, AI Engineering, Architecture, Security, Risk and Platform teams, ensuring decisions, actions and ownership are clearly defined and delivery remains aligned to business priorities. • Manage AI Governance & Production Readiness Coordinate architecture reviews, security assessments, model-risk/governance requirements, data/privacy controls, testing, operational readiness and production approvals to ensure AI solutions meet required enterprise standards. • Manage Portfolio, Risks & Stakeholder Governance Maintain integrated delivery plans, RAID management, resource requirements, budgets and inter-project dependencies, while providing concise progress, risks and decision requirements to SteerCo, senior stakeholders and accountable executives. • Enable Agile Experimentation and Scaled Delivery Establish a delivery approach that supports rapid AI experimentation without compromising production controls , helping teams prioritise use cases, validate value early, manage transition from prototype to production and reuse common AI platforms, patterns and capabilities

Required Skills

AI Solution DeliveryAI EngineeringSolution ArchitectureData ManagementAPIsCloud InfrastructureEnterprise ApplicationsData SourcesAI GovernanceSecurity AssessmentsModel Risk ManagementData Privacy ControlsAgile MethodologiesPortfolio ManagementRisk ManagementStakeholder GovernanceLLMsRAG PipelinesAgentic FrameworksOperational ReadinessBudget ManagementRAID ManagementCross-Functional Team CoordinationBusiness Priorities AlignmentRapid AI ExperimentationPrototype to Production TransitionCommon AI PlatformsUse Case PrioritizationValue ValidationTestingArchitecture Reviews

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