Tech Mahindra

Technical Architect

Tech Mahindra$90K — $115K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 9 to 12 years of relevant experience in AI architecture
  • Expertise in GenAI and LLM applications
  • Familiarity with frameworks like LangGraph and LangChain
  • Strong understanding of distributed and event-driven architecture
  • Knowledge of network operations concepts
  • Proficient in cloud-native architecture and Kubernetes
  • Excellent stakeholder communication skills

Responsibilities

  • Design AI architectures utilizing GenAI and multi-agent systems
  • Implement frameworks for workflow orchestration and model governance
  • Create enterprise-level designs focusing on security and observability
  • Manage network operation incidents and perform root cause analyses
  • Drive the evolution of cloud-native and microservices architectures
  • Collaborate with cross-functional teams to define AI frameworks and standards

Benefits

  • Medical, vision, and dental insurance
  • Life and disability insurance
  • Paid time off including holidays and parental leave
  • Sick leave as required by law
  • Potential eligibility for bonuses or variable pay
Full Job Description
Job Summary

Role : AI Architect

Location : San Jose, CA

Exp : 9 to 12 Years

Onsite/ Remote: Day 1 Onsite at customer location

The pay range for this role is $90k- $115k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.

Required Skills
• Strong architecture experience with GenAI, LLM applications, RAG, vector search, agentic AI, and multi-agent orchestration.
• Experience with frameworks such as LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, or equivalent.
• Strong understanding of enterprise system design, including distributed architecture, event-driven design, API-first design, HA/DR, observability, and security.
• Experience with tool/function calling, workflow orchestration, agent state management, prompt management, and model governance.
• Knowledge of network operations concepts such as incidents, alarms, telemetry, topology, RCA, configuration drift, change management, and remediation.
• Experience with cloud-native architecture, Kubernetes, microservices, CI/CD, secrets management, and API gateways.
• Strong stakeholder communication skills for leadership, engineering, operations, security, and business teams.

Preferred Skills
• Experience with telecom, service provider, data center, or large enterprise infrastructure environments.
• Experience defining responsible AI frameworks, model risk controls, agent evaluation standards, and audit-safe AI workflows.

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