Lead Consultant(Development)

HCL Technologies Limited; Chennai District; On-site; INR 3,500,000 - 8,500,000; Full time

Job summary

HCLTech is seeking a Senior AI Engineer to design, develop, and improve AI-driven software solutions. You will leverage Python, LangChain, and AWS Bedrock/SageMaker to create scalable, secure AI applications with robust observability and MLOps practices.

You will collaborate with product managers, designers, and engineers to define requirements, implement agentic AI workflows, and ensure alignment with business objectives. Prior experience in producing production-grade AI systems is essential.

Qualifications

• Expert Python & AI frameworks with vector-retrieval tooling.
• Agentic AI workflows and multi-step reasoning systems in production.
• RAG architectures including embeddings, retrieval optimization, and safety/guardrails.
• Full-stack AI apps (backend, APIs, React) with reliability, scalability, security, and observability.
• Cloud-Native AI deployment on AWS services like Bedrock, SageMaker, Lambda, API Gateway, and vector stores.
• End-to-End MLOps / LLMOps: lifecycle management, monitoring, CI/CD for AI workloads.
• Technical leadership & mentorship: lead junior engineers and drive best practices.
• Model fine-tuning: techniques and when to apply fine-tuning vs. RAG vs. hybrid strategies.
• Governance & security: AI systems for regulated environments.

Responsibilities

• Development and delivery of high-quality software solutions using industry aligned languages and tools.
• Cross-functional collaboration with product managers, designers, and engineers to define requirements and align with business objectives.
• Code reviews and promoting code quality and knowledge sharing.
• Stay informed of industry tech trends and contribute to technology communities.
• Adherence to secure coding practices to mitigate vulnerabilities and protect data.
• Implementation of effective unit testing practices for reliability.

Skills

Python

AI Frameworks

LangChain

LangGraph

HuggingFace

Vector Datastores

AWS Bedrock

SageMaker

API Gateway

React

Tools

OpenSearch

pgvector

Job description

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Key Responsibilities

Accountabilities

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Skill Requirements

Senior AI Engineer, you should have experience with:

• Expert Python & AI Engineering Frameworks-Deep proficiency in Python and modern AI frameworks (e.g., LangChain, LangGraph, HuggingFace), including vector‑retrieval tooling.
• Agentic AI & Orchestrated Reasoning-Hands‑on experience designing and deploying agentic AI workflows, tool‑using agents, and multi‑step reasoning systems in production environments.
• RAG Architecture & Implementation-Practical experience designing and implementing Retrieval‑Augmented Generation (RAG) solutions, including embeddings, chunking, retrieval optimisation, and safety/guardrails.
• Production‑Grade AI Application Engineering-Proven ability to build and operate full‑stack AI applications (backend, APIs, modern front‑end frameworks such as React) with strong focus on reliability, scalability, security, and observability.
• Cloud‑Native AI Deployment on AWS-Experience deploying AI solutions using AWS services such as Bedrock, SageMaker, Lambda, API Gateway, and vector‑enabled datastores (e.g., OpenSearch, pgvector).

Some other highly valued skills may include:

• End‑to‑End MLOps / LLMOps-Experience with model lifecycle management, evaluation frameworks, monitoring, and CI/CD for AI workloads.
• Technical Leadership & Mentorship-Experience leading junior engineers, driving design reviews, and setting engineering best practices.
• Model Fine‑Tuning Expertise-Understanding of fine‑tuning techniques and when to apply fine‑tuning vs. RAG vs. hybrid strategies.
• Enterprise‑Grade Governance & Security-Experience designing AI systems within regulated or compliance‑heavy environments.

Cost‑Optimised AI Architecture-Ability to design scalable, efficient AI systems through model selection, inference optimisation, and resource‑efficient deployment.

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.