Top Tech Jobs & Startup Jobs in Chennai

Leads the architecture, development, and deployment of large-scale AI/ML, generative AI, and agentic systems. Responsibilities include designing data pipelines and model architectures, fine-tuning and evaluating LLMs, mentoring AI teams, establishing MLOps and validation best practices, ensuring secure and ethical deployments, and partnering with product and business stakeholders. The role also provides technical thought leadership, analyzes conversational data, and drives scalable AI innovation.

Lead an engineering pod building Verizon’s enterprise AI governance ecosystem. Architect automated governance pipelines, integrate AI development platforms with security and responsible-AI hubs, implement agent simulation and production LLM observability, build governance API integrations, and design IAM and routing for secure autonomous workflows. The role also establishes enterprise standards, manages AI infrastructure costs, negotiates risk guardrails, and drives innovation through advanced evaluation metrics and patents.

Leads architecture, development, deployment, and optimization of large-scale AI/ML, generative AI, and agentic systems. Oversees data pipelines, model training, monitoring, validation, and lifecycle practices while mentoring data science and engineering teams. Partners with product and business stakeholders, establishes secure and ethical AI standards, analyzes conversational data, evaluates emerging technologies, and provides technical thought leadership on scalable model architectures and MLOps.

Designs, deploys, and manages end-to-end AI/ML, Generative AI, and Agentic AI solutions for telecom financial operations. Builds data pipelines, advanced SQL queries, statistical and machine learning models, and MLOps/LLMOps workflows using Python, GCP, BigQuery, and related tools. Translates model outputs into actionable insights for finance leaders while automating forecasting, profitability, credit, cash flow, and other financial processes.

Supports sourcing teams by drafting, reviewing, redlining, and negotiating supplier contracts. Owns end-to-end transactions including master agreements, amendments, SOWs, and termination notices; manages compliance, risk analysis, stakeholder collaboration, contract databases, governance metrics, templates, and process improvements. Uses AI and enterprise legal technology to improve contracting efficiency. Requires a law degree and 5+ years of legal or contract management experience.