GEN AI Resource Engineer

Tata Consultancy Services · IT Consulting & Digital Transformation · IT Outsourcing & Dedicated Teams · Bachelor's Degree · 8 days ago
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Location
In office (Gurgaon)
Seniority
Middle · 4+ years exp
Visa
Sponsors visas in Ireland, United Kingdom; no register of this country names it

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 2, 2026. Tata Consultancy Services scores A on the Alion truth index.

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Tata Consultancy Services

Tata Consultancy Services (TCS) is an Indian IT services and consulting company headquartered in Mumbai and part of the Tata Group. Founded in 1968, it is listed on the BSE and the National Stock Exchange of India and is one of the largest IT services companies in the world by revenue and headcount, with about 600,000 employees. It provides application development and maintenance, cloud and infrastructure services, enterprise platform implementation, cybersecurity, consulting and business process services to large enterprises across North America, Europe and Asia-Pacific.
tcs.com · HQ: Mumbai, India · Management Consulting · Systems Integrators · IT Consulting & Digital Transformation · IT Outsourcing & Dedicated Teams · Est. 1968
Tech stack of Tata Consultancy Services

Role: Engineer. Skills: Artificial intelligence. Experience: 4 - 10 Years. Qualification: Bachelor Of Engineering

Role:- ChiefAI Officer

Experience Range:- 4 to 10 Yrs

Location:- Gurgaon

Must Have:-

  • Familiarity with SWIFT MT/MX messaging standards and ISO 20022.
  • Knowledge of cloud-based AI platforms, MLOps, and data governance.
  • Ability to balance innovation with regulatory compliance in banking and capital markets.
  • Must Have:-
  • Strategic AI Leadership
  • Develop an AI roadmap for TCS BaNCSproducts, focusing on automation in Corporate Actions and related financial operations.
  • Identify opportunities to integrate Generative AI for document automation, intelligent reporting, and conversational interfaces.
  • AI Governance & Compliance
  • Establish frameworks for ethical AI and GenAIuse in financial services, ensuring adherence to global regulatory standards (MiFID, FATCA, ISO 20022).
  • Oversee risk management for AI deployments in sensitive financial domains.
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