Sr Technical Program Manager (AI)

New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
7+ years
Required Skills
AgileAzureDevOpsLangChain

Requirements

  • 7+ years of experience in Technical Program Management within enterprise software, cloud, or AI-driven environments.
  • Proven experience managing complex, cross-functional technical programs involving APIs, distributed systems, or AI/LLM platforms.
  • Strong understanding of AI/LLM concepts, including agentic systems, orchestration workflows, and modern AI architectures.
  • Experience working closely with engineering teams delivering production-grade SaaS or AI solutions.
  • Familiarity with Azure cloud services and Microsoft enterprise ecosystem integrations.
  • Strong skills in program execution, dependency management, risk mitigation, and stakeholder communication.
  • Experience working with globally distributed teams across multiple time zones.
  • Excellent executive communication, organizational leadership, and analytical capabilities.
  • Preferred experience with tools such as LangChain, Semantic Kernel, AutoGen, or LlamaIndex.
  • Background in DevOps, cloud infrastructure, or platform operations is a plus.
  • Certifications such as PMP, Scrum Master, or Agile are considered an advantage.

Responsibilities

  • Lead end-to-end delivery of AI and LLM-based initiatives, including agentic systems, orchestration frameworks, RAG pipelines, and enterprise AI integrations.
  • Coordinate cross-functional execution across AI engineering, infrastructure, product, security, operations, and customer success teams.
  • Manage program plans, dependencies, timelines, risks, and escalation paths across multiple parallel workstreams.
  • Partner with engineering and platform teams to operationalize AI solutions within Azure and Microsoft enterprise environments.
  • Oversee deployment readiness, including governance, responsible AI controls, compliance, observability, and production support planning.
  • Define and implement scalable program management frameworks, reporting structures, and delivery best practices for AI initiatives.
  • Track and communicate program health, delivery risks, and roadmap progress to executive stakeholders.
  • Align technical teams and business stakeholders on priorities, scope, and execution timelines.
  • Support enterprise integration efforts involving Microsoft 365, Teams, Copilot, APIs, and internal systems.
  • Drive continuous improvement in delivery processes, tooling, and cross-team collaboration models.
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