Join Tata AIA Life Insurance, a leading and fastest-growing life insurance provider in India, established in 2001 as a joint venture between Tata Sons Pvt. Ltd. and AIA Group Ltd. Our company embodies a legacy of trust, integrity, and excellence, combining Tata's esteemed leadership with AIA's extensive pan-Asian expertise. At Tata AIA, our vision is to be the pre-eminent protection provider enabling dreams and inspiring healthier, happier lives.
We foster a culture of innovation, inclusivity, and continuous learning, offering dynamic career growth opportunities and a supportive work environment. Recognized as a 'Great Place to Work' and recipient of the Kincentric Best Employer Award, we are committed to employee satisfaction and holistic well-being. Our core value, 'People - Our Core,' emphasizes our dedication to inspiring our employees to be and deliver their very best. Our aim is to attract, hire and develop highly capable leaders who are just, fair, ethical, and accountable for their actions. We strive to provide our employees with the right training, technology, equipment, resources, and guidance to perform their job effectively. Our promise to you is to provide for a diverse, equitable, and inclusive work environment, where each employee is valued as an individual and treated with respect, care, and compassion.
Fuel your future with us, find your wings, and S.O.A.R. - Shape opportunities, Optimize your potential, Accomplish meaningful work, and Reap holistic growth.
A.Position Overview
| Position Title | Deputy Vice President - Enterprise Computing (Infra-AI-Specialist) |
| Department | TDA-BSG (IT) |
| Level/ Band | DVP /602 |
B.Organizational Relationships
| Reports To | Sr. VP - Head of Enterprise Computing |
| Supervises | Cloud operation teams, DevOps team and other cross functional project teams |
Job Dimensions
| Geographic Area Covered | Pan India |
| Stakeholders Internal | All Departments |
| Stakeholders External | Cloud partners, Implementation Partners, IRDA, Security |
C.Key Result Areas
| èAccountable for design, development, and deployment of AI/GenAI solutions across enterprise use cases. è Should have strong technical knowledge of: .Copilot Studio, Power Automate, Azure AI Foundry / Azure OpenAI .Building intelligent copilots, chatbots, voicebots and workflow automation solutions .Designing and implementing agentic workflows using frameworks (atleast two): Microsoft Agent Framework, CrewQI, LangGraph, LlamaIndex .Integration of AI solutions with enterprise systems via APIs è Responsible for production deployment and lifecycle management: .Model deployment, scaling, and version control .Monitoring AI systems using observability tools .Logging, tracing, debugging AI pipelines è Expertise in LLM optimization: .Prompt engineering and prompt chaining .Token usage optimization and cost management .Fine-tuning models and evaluating performance Working with leading Large Language Models (LLMs) such as .OpenAI GPT (GPT-4, GPT-5, etc.) .Google Gemini .Meta LLaMA models .Anthropic Claude .Other enterprise/open-source LLMs Designing and implementing voice-enabled AI solutions using: .Speech-to-Text (STT) and Text-to-Speech (TTS) .Azure Speech Services / real-time voice APIs .Multimodal AI (text + voice interactions) è Implement Responsible AI practices including governance, security, and compliance è Ensure high availability, performance, and reliability of AI systems è Collaborate with cloud and DevOps teams for CI/CD pipelines and MLOps/LLMOps implementation è Drive innovation and POCs for emerging AI capabilities |
D.Skills Required
| Technical | .Relevant experience working with Azure or another public cloud solution (AWS/GCP) .Strong knowledge of AI architecture, LLM orchestration, prompt engineering, agent design, and AI governance .Required to work closely with Cloud, Data, and Business Teams to implement use-case driven AI solutions .Required to work closely with Cloud, Data, and Business Teams to implement use-case driven AI solutions .Strong understanding of token utilization, prompt optimization, and LLM cost control .Required to support governance, compliance, and secure AI adoption aligned with enterprise standards .Strong knowledge of AI lifecycle management including testing, fine-tuning, and continuous improvement .Strong experience in deployment pipelines, versioning, and technical documentation | |
| Behavioral | ||
|
| Essential | Desired |
| Interpersonal skills | . | |
| Communication skills | . | |
| Creative thinking skills | . | |
| Supervising/Leadership skills | . | |
| Teamwork Skills | . | |
| Influencing skills | . | |
| Relationship Building skills | . | |
| Decision making skills | . |
E.Incumbent Characteristics
| Essential | Desired | |
| Qualification | B.E. | PMP |
| Experience | .15+ years in AI/ML engineering with hands-on experience in GenAI and LLM-based applications. Experience in deploying AI to production environments with monitoring and optimization | Experience in enterprise-scale AI transformation programs and multi-agent system. |
Disclaimer:
Tata AIA Life Insurance does not charge any fees from candidates during the hiring process. If the application aligns with our requirements, you may be contacted for further steps. Verify job offers through official Tata AIA communication channels to avoid fraud. The job description is the sole property of Tata AIA Life Insurance. The content of this JD is confidential, and unauthorized changes or reproduction are forbidden. To know more about Tata AIA Life, click on the weblink:
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