AI Solution Architect - Autonomous IT Operations

About the role

TCS Cloud Unit is looking for an experienced AI Solution Architect to design and implement enterprise-grade AI solutions. This role requires expertise in leading AI platforms and hands-on experience in IT operations, combined with the ability to integrate AI-driven solutions for IT Operations (AIOps) using cutting-edge technologies such as LLMs, agentic frameworks, and industry-leading platforms like Anthropic, OpenAI, Bedrock, Gemini, and others.

Responsibilities

• Design, architect, and enable AI-driven solutions across enterprise IT Operations, including Service Desk, Infrastructure, Applications, Network, End User Services, and Observability platforms.
• Bridge business requirements, AI platforms, and IT operations execution to deliver scalable, platform-agnostic solutions leveraging both off-the-shelf AI platforms and custom-built architectures.
• Play a key role in RFP solutioning, customer engagements, demos, and ecosystem collaboration, ensuring solutions align with business value, operational efficiency, and future-ready AI adoption.

Qualifications

• 8–10 years of experience in IT Operations / ITSM / Infrastructure / Application Support
• 4–5 years’ experience in AI/GenAI/AIOps solutioning or architecture
• Proven experience across multi-tower IT operations: Service Desk, Infrastructure, Cloud, Network, End User Computing
• Strong knowledge of ITSM / ITOM / CMDB / Observability concepts, AIOps, GenAI, and automation frameworks
• Hands-on experience with one or more of the following:
  • ServiceNow (ITSM/ITOM/Now Assist)
  • Cloud AI platforms (Azure AI, AWS, GCP)
  • Observability platforms (Splunk, Dynatrace, etc.)
• Experience in API integration, microservices, event-driven architecture, and data platforms (Databricks, telemetry pipelines)
• Proficiency in polyglot development:
  • Python (AI/ML, automation)
  • Java / Node.js (enterprise integrations)
• Experience with prompt engineering / LLM integration, AI pipelines, and model orchestration
• Strong experience in RFP responses and solutioning, client presentations, and architecture defense
• Ability to translate technical solutions into business outcomes and define KPIs (MTTR, ticket deflection, automation coverage)
• Experience with agentic AI platforms / multi-agent systems and knowledge graphs / ontology-based architectures
• Open to travel up to 50%

Pay

$111,400–$131,000 a year