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Location
Hybrid (Bellevue, United States)
Seniority
Senior · 6+ years exp

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 2, 2026. LTM scores B on the Alion truth index.

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LTM

LTM, formerly LTIMindtree, is an Indian IT services and consulting company providing application development, cloud, data engineering, AI, enterprise application implementation and managed services to large enterprises. Headquartered in Mumbai and majority-owned by Larsen & Toubro, it was formed in 2022 by the merger of L&T Infotech, founded in 1996, and Mindtree, and is listed on the BSE and NSE. It hires Salesforce and full-stack developers, data engineers, program managers and software engineers in Bengaluru, Kolkata, Pune and Bellevue, Washington.

We're building AI-powered sales skilling experiences that help Microsoft sellers and partners prepare for customer conversations, strengthen technical and consultative selling skills, and apply what they learn in the flow of work.

  • Bachelor's Degree in Computer Science, Engineering, or a related technical field and 6+ years of experience in technical program management, software development, systems engineering, or delivery of technical products or services, OR equivalent experience.
  • Experience driving a cross-functional technical program from requirements through production release, including managing dependencies, risks, and stakeholder communication.
  • Experience working with engineering teams on cloud services, APIs, data pipelines, or enterprise integrations, with the ability to reason about system behavior and technical tradeoffs.
  • Experience using telemetry, operational metrics, or customer feedback to identify issues and drive measurable improvements.

    Preferred Qualifications

  • Experience delivering generative AI or agent-based experiences, including familiarity with retrieval-augmented generation, prompt and model evaluation, and quality, safety, latency, and cost tradeoffs.
  • Familiarity with Microsoft 365 Copilot, Azure AI services, Microsoft Graph, or enterprise identity and access patterns.
  • Experience with production readiness, service reliability, observability, incident management, and controlled releases.
  • Experience with content ingestion and retrieval systems, content governance, or permission-aware enterprise knowledge.
  • Familiarity with Azure DevOps and analytics tools such as Application Insights, Azure Monitor, and KQL.
  • Experience in sales enablement, partner readiness, learning/skilling, conversational coaching, or AI-assisted content workflows.
  • Demonstrated ability to create clarity in ambiguous situations and influence partner teams without formal authority.
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