Salary
≈ $28k – $49k per year (Estimated)
Location
In office (Noida, 10am - 3pm)
Seniority
Architect
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 17, 2026.
Overview
Company
Impact
Profile match
Tech Mahindra is a prominent Indian multinational information technology services and consulting enterprise specializing in digital transformation, cloud modernization, business process re-engineering, and network services. Headquartered in Pune, Maharashtra, India (with its registered office in Mumbai), the company is a flagship entity of the diversified Mahindra Group conglomerate. Established in 1986 (initially as Mahindra British Telecom), it operates across dozens of countries with a global delivery footprint serving enterprise clients in telecommunications, banking and financial services, healthcare, automotive, and retail. The organization is particularly recognized for its deep engineering heritage in telecommunications and 5G network integration, offering end-to-end solutions spanning artificial intelligence, enterprise application management, customer experience (CX), and next-generation connectivity infrastructure.
Backed by Seafund
Job Description
Skill Set :
Generative AI,Agentic AI,AI Governance,BMC Helix ITSM,AI hyperscaler
Total Experience :
10.00 to 15.00 Years
No of Openings :
1
Job Post Date :
10/08/2026
Job Expiry Date :
30/10/2026
Domain :
IT
Location :
NOIDA [India]
Job Reference No :
4100707
Job Summary
Location-Gurugram,Noida
Ai SOlution Architect/Consultant
Exp 10-15 yrs
- Design and lead end-to-end AI, GenAI, Agentic AI, and automation solutions.
- Drive AI and automation use cases across Global Service Desk, Quoting, Ordering, Pricing, Customer Service, and Post-Sales Operations.
- Define architecture for LLMs, RAG, AI Agents, Intelligent Document Processing (IDP), and RPA integrations.
- Collaborate with business stakeholders to identify automation opportunities and deliver business value through AI-led transformation.
Ensure scalability, security, governance, and deployment of enterprise AI and automation solutions
Must have -
- Generative AI (LLMs, RAG, AI Agents)
- Agentic AI Frameworks (LangChain, LangGraph & similar)
- ML & predictive analysis
- Telecom/Enterprise Operations Domain Experience
- RPA & Intelligent Automation
- AI-powered Service Desk Automation
- Intelligent Document Processing (OCR/IDP)
- APIs, Microservices
- Cloud Architecture (GCP/Azure/AWS & Similar)
- Vector Databases
Good to have -
- Quoting, Ordering & Pricing Process Automation
- Post-Sales Customer Service Automation
- MLOps / LLMOps
- Knowledge on data warehouse and governance
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