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indeed

Tower Lead (Support & Operations)

HCLTech
Uttar Pradesh, IND
Full-time
Onsite
Discovered 3 weeks ago
PythonGenerative AI and Agentic AILLMs and RAGMicrosoft Foundry / Foundry Agent ServiceAzure OpenAI and Azure AI servicesMulti-agent architectures

Full Job Posting

Role overview

Senior customer-facing solution architect and engineer leading enterprise Generative AI and Agentic AI deployments on Microsoft Azure.

The role owns customer technical success, architecture and deployment decisions, production readiness, and FDE mentorship.

Typical allocation is approximately 50% architecture and technical leadership, 30% customer leadership, and 20% engineering oversight and mentoring.

Responsibilities

  • Own delivery from discovery and architecture through production rollout, hypercare, and transition to BAU.
  • Lead customer workshops, architecture reviews, demonstrations, POCs, pilots, and production planning.
  • Design agent, Azure, integration, identity, security, and production architectures; set readiness and AgentOps practices.
  • Troubleshoot incidents, optimize reliability and cost, review engineering work, mentor FDEs, and establish reusable delivery patterns.
  • Provide technical escalation, influence platform priorities, and lead customer handover and enablement.

Required experience

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or related field.
  • 8–12 years of relevant overall technical experience, including at least 3 years in Generative AI or Agentic AI.
  • Demonstrated enterprise production delivery and customer-facing architecture leadership.

Required skills

  • Strong Python and software engineering skills; hands-on Generative AI, LLM, RAG, prompt engineering, tool calling, evaluation, and multi-agent experience.
  • Production experience with Microsoft Foundry / Foundry Agent Service, Azure OpenAI, and Azure AI services.
  • Enterprise APIs and integrations; Entra ID, OAuth, managed identities, RBAC, secrets, and networking.
  • Containers, Docker, Azure Container Apps or AKS, CI/CD, Git, observability, incident management, Responsible AI, and security.

Preferred skills

  • Preferred: deeper Microsoft Foundry, Azure AI Search, Agent Framework, Azure Monitor, Application Insights, OpenTelemetry, AgentOps, and evaluation experience.
  • Preferred: MCP, A2A, Terraform, Azure landing zones, platform modernization, and enterprise operations experience.
  • Exposure to multiple cloud platforms is advantageous.

Role scope

The role leads technical architecture and customer delivery and guides FDEs while partnering with platform, product, security, cloud architecture, and operations teams.

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