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Salary
≈ $127k – $244k per year (Estimated)
Location
In office (Irving)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 9, 2026. LTM scores B on the Alion truth index.

Overview
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Impact
Profile match

LTM

LTM (formerly LTIMindtree) is a prominent global technology consulting and digital solutions enterprise that delivers comprehensive IT, cloud, and business transformation services to multinational corporations. Headquartered in Mumbai, India, the company operates an extensive international delivery network specializing in artificial intelligence, data engineering, and enterprise systems integration. As a subsidiary of the industrial conglomerate Larsen & Toubro, it partners with leading organizations across sectors such as banking, healthcare, and manufacturing to drive operational efficiency and digital modernization.

AI Engineer Tooling Integration

Own the enterprise integration layer for the Store Agent platform enabling secure scalable and governed connectivity between AI agents and business systems while accelerating the delivery of reusable tools workflows and automated store operations capabilities

Job Summary

Seeking a Specialist with 5 to 7 years of experience to design and implement advanced Agentic AI solutions leveraging the Agentic Framework tools memory and planning within the BlueverseGenAIAgentic AIPlatform domain

Job Description

Design and develop scalable AI agent workflows using the Agentic Framework Utilize advanced tools for memory management and planning to enhance AI agent capabilities Build and optimize AI solutions that integrate memory components and planning strategies for improved task execution Collaborate with crossfunctional teams to integrate AI agents seamlessly into enterprise platforms and business workflows Monitor AI agent performance to ensure reliability and continuous improvement Stay updated with emerging trends and advancements in Agentic AI technologies within the Blueverse ecosystem

Roles and Responsibilities

  • Architect and implement multiagent orchestration frameworks to support complex AI workflows
  • Develop and maintain AI agents using the Agentic Framework tailored to specific business use cases
  • Design and optimize pipelines incorporating memory and planning tools to improve agent effectiveness
  • Integrate AI agents with enterprise systems ensuring interoperability with APIs ERP and operational tools
  • Implement observability tracing and performance monitoring solutions to maintain AI system reliability
  • Collaborate closely with product managers data engineers AI architects and business stakeholders to align AI initiatives with organizational goals
  • Drive innovation by researching and applying the latest techniques in Agentic AI memory management and planning
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