AI Tech Lead

HTC Global Services; Chennai; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

HTC Global Services seeks an experienced AI Tech Lead with 8-10 years in software engineering, AI/ML, and data science to lead cutting-edge AI initiatives in Chennai. The role emphasizes hands-on Generative AI, team leadership, and delivering scalable AI solutions across multiple domains.

The ideal candidate will mentor a team, architect AI systems, and collaborate with cross-functional teams to integrate AI into business processes using LLMs, vector search, and robust MLOps practices.

Qualifications

• 8-10 years of experience in software engineering, AI/ML, data science or related tech field.
• At least 2+ years hands-on AI/ML experience with team leadership responsibilities.
• Experience with ML/Generative AI and building AI applications.

Responsibilities

• Lead AI/ML initiatives and manage a technical team.
• Collaborate with stakeholders to define AI strategy and deliverables.
• Oversee development using REST APIs, microservices and MLOps practices.

Skills

AI leadership

Prompt engineering

LLMs

REST APIs

Microservices

Git

CI/CD

Agile methodologies

Data science

Generative AI

Tools

Docker

Kubernetes

LangChain

LangGraph

Azure OpenAI

OpenAI

AWS Bedrock

Google Vertex AI

Job description

Job Description:

We are seeking a highly skilled AI Tech Lead with 8-10 years of experience in software engineering, AI/ML, data science, or a related technology field.

At least 2+ years hands-on experience with AI/ML or Generative AI preferred including Leading a Team.

Requirements

• Experience with Machine Learning and/or Generative AI applications.
• Practical experience working with LLMs and prompt engineering like Claude and Kiro
• Experience building RAG applications using embeddings and vector search.
• Experience working with REST APIs and microservices.
• Familiarity with Git and CI/CD practices.
• Good understanding of software development lifecycle and Agile methodologies.

Preferred Skills

• Knowledge of AI agents and agentic workflows.
• Experience with Docker and Kubernetes.
• Familiarity with MLOps/LLMOps concepts.
• Experience with AI evaluation, guardrails, and responsible AI.
• Experience working with enterprise data or regulated industries such as banking, financial services, or insurance.

Typical Technology Stack

• Languages: Python, SQL
• AI/ML: Machine Learning, NLP, Generative AI, LLMs
• GenAI: RAG, Prompt Engineering, Embeddings, Vector Search, AI Agents
• Frameworks: PyTorch, TensorFlow, Scikit-learn, LangChain/LangGraph
• Cloud: Azure / AWS / Google Cloud
• LLM Platforms: Azure OpenAI, OpenAI, AWS Bedrock, Google Vertex AI
• Data: SQL, NoSQL, Vector Databases, Document Stores
• Engineering: REST APIs, Microservices, Git, Docker, CI/CD