AI Solutions Architect - IT Ops & AIOps

Tata Consultancy Services

Edison (NJ)

On-site

USD 111,000 - 131,000

Full time

2 days ago

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Job summary

Tata Consultancy Services (TCS) is seeking an experienced AI Solution Architect to design and implement enterprise‑grade AI solutions for IT Operations, bridging business needs with AI platforms and operational execution.

The role involves architecting AI‑driven, scalable solutions, participating in RFPs, demos, and ecosystem collaborations to ensure value, efficiency, and future‑ready AI adoption across Service Desk, Infra, Networks, and Observability platforms.

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, Infra, Cloud, Network, EUC
Strong knowledge of: ITSM / ITOM / CMDB / Observability concepts, AIOps, GenAI, and automation frameworks
Hands‑on experience with one or more: 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, 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, Define KPIs (MTTR, ticket deflection, automation coverage)
Experience with Agentic AI platforms / multi‑agent systems, Knowledge graphs / ontology‑based architectures
Open to travel up to 50%

Responsibilities

Design, architect, and enable AI‑driven solutions across enterprise IT Operations, including Service Desk, Infrastructure, Applications, Network, End User Services, and Observability platforms
Lead RFP solutioning, customer engagements, demos, and ecosystem collaboration
Ensure solutions are aligned with business value, operational efficiency, and future‑ready AI adoption
Bridge business requirements, AI platforms, and IT operations execution to deliver scalable, platform‑agnostic architectures