Senior Technical Lead
United States
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Job Description
Senior Technical Lead
New York, New York

Job Summary

Skills

•           Programming & Frameworks – Python, APIs, ML frameworks, AI tools (Coding Assistant - any of GitHub Copilot/Codex/Claude Code etc., Lang Chain, ADK, ChatGPT, MS Copilot)

•           AI/ML systems – LLMs (OpenAI GPTs, Google AI, Claude), embeddings, vector databases

•           Building and managing APIs and integrations

•           Prompt Engineering

•           Model Evaluation & Design

•           AI Architecture Design

•           Data preparation & generation

•           Cloud services (AWS, GCP)

 

Responsibilities

•           Conduct R&D on AI/ML technologies and architectures

•           Deploy AI/LLM and Agentic Applications for proof-of-concept demonstrations and assist in scaling or deploying successful solutions into production systems.

•           Push boundaries of what is possible with AI (Traditional AI, Gen AI, Agentic AI)

•           Stay current on AI technology trends and evangelize

•           Evaluate and pilot third-party AI solutions for fit, scalability, and business value

•           Prototype solutions that inform future productization

•           Collaborate on data preparation and synthetic data generation strategies to support experimentation

•           Validate AI (model) performance, safety and operational readiness before hand-off to production teams

•           Contribute to AI system architecture

•           Deploy and manage AI workflows in cloud environments

•           Collaborate with AI Business Partners

Key Responsibilities

Skills

•           Programming & Frameworks – Python, APIs, ML frameworks, AI tools (Coding Assistant - any of GitHub Copilot/Codex/Claude Code etc., Lang Chain, ADK, ChatGPT, MS Copilot)

•           AI/ML systems – LLMs (OpenAI GPTs, Google AI, Claude), embeddings, vector databases

•           Building and managing APIs and integrations

•           Prompt Engineering

•           Model Evaluation & Design

•           AI Architecture Design

•           Data preparation & generation

•           Cloud services (AWS, GCP)

 

Responsibilities

•           Conduct R&D on AI/ML technologies and architectures

•           Deploy AI/LLM and Agentic Applications for proof-of-concept demonstrations and assist in scaling or deploying successful solutions into production systems.

•           Push boundaries of what is possible with AI (Traditional AI, Gen AI, Agentic AI)

•           Stay current on AI technology trends and evangelize

•           Evaluate and pilot third-party AI solutions for fit, scalability, and business value

•           Prototype solutions that inform future productization

•           Collaborate on data preparation and synthetic data generation strategies to support experimentation

•           Validate AI (model) performance, safety and operational readiness before hand-off to production teams

•           Contribute to AI system architecture

•           Deploy and manage AI workflows in cloud environments

•           Collaborate with AI Business Partners

Skill Requirements

Senior AI Engineer

Other Requirements
Maximum Salary (US):  148000
Minimum Salary (US):  100000
Apply now
Information at a Glance

Why HCLTech?

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 2026 totaled $14.8 billion. 

 

Compensation and Benefits

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.