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Hcl Tech Jobs (NOW HIRING)

HCL is a $6.7 billion IT services company with over 111,092 professionals operating across 31 countries and is growing at 14% YOY in revenues. There are around 10,000 employees in the U.S under the ...

Service Desk or Helpdesk

Cary, NC

$18.50 - $25/hr

Company Description About HCL HCL Technologies is a next-generation global technology company that helps enterprises reimagine their businesses for the digital age. Our technology products, services ...

Service Desk or Helpdesk

Cary, NC · On-site

$18.50 - $25/hr

Company Description About HCL HCL Technologies is a next-generation global technology company that helps enterprises reimagine their businesses for the digital age. Our technology products, services ...

Company Description HCL Technologies has an extensive global network of delivery centers to provide seamless IT services to customers worldwide. Having crossed $1bn in net profit, $5bn in revenue and ...

Bench Scientist

La Jolla, CA

$36.50 - $45.75/hr

HCL Technologies. As narrated in the video below, HCL Technologies has demonstrated remarkable growth through the recent economic downturn, emerging as one of only eight 21st century listed ...

HCL Technologies Limited Job Summary Bachelor s degree or equivalent experience (i.e. 5+ years experience in an IT technical role) 2+ years experience in desktop hardware, operating systems ...

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Hcl Tech information

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How much do hcl tech jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for hcl tech in the United States is $41.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $47.84 per hour, depending on experience, location, and employer.

What is an HCL Tech job?

An HCL Tech job refers to a role at HCL Technologies, a global IT services and consulting company. HCL offers positions in software development, IT infrastructure, cybersecurity, digital transformation, and business services. Employees work on cutting-edge technology solutions for clients across various industries. Jobs at HCL Tech can range from entry-level to senior management roles, depending on skills and experience.

What are the key skills and qualifications needed to thrive in an HCL Tech position, and why are they important?

To thrive in a role at HCL Tech, you generally need strong analytical and problem-solving skills, a relevant degree (such as in Computer Science or Engineering), and hands-on experience in IT services or software development. Familiarity with industry-standard programming languages (like Java, Python, or .NET), cloud platforms, and certifications such as ITIL or AWS are often highly valued. Effective communication, adaptability, and the ability to work collaboratively in global teams set top performers apart. These competencies ensure you can deliver high-quality solutions and adapt to the dynamic, client-focused environment at HCL Tech.

What are the typical growth opportunities for employees at HCL Tech?

Employees at HCL Tech often have access to a variety of career development pathways, including technical, managerial, and specialized roles within different domains. The company encourages ongoing learning and provides internal training programs, mentorship opportunities, and support for obtaining industry certifications. As you gain experience and demonstrate strong performance, there are clear opportunities to transition into leadership positions or take on new responsibilities in innovative projects. This supportive environment helps employees continuously expand their skills and advance their careers within the organization.

What cities are hiring for Hcl Tech jobs?

Cities with the most Hcl Tech job openings:

What are the most commonly searched types of Hcl Tech jobs?

The most popular types of Hcl Tech jobs are:

What states have the most Hcl Tech jobs?

States with the most job openings for Hcl Tech jobs include:

What job categories do people searching Hcl Tech jobs look for?

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Infographic showing various Hcl Tech job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 13% Part Time, 11% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $85,729 per year, or $41.2 per hour.

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Re-posted 18 days ago


Job description

Job Title - Senior AI & Platforms Engineer

Role Overview

We are seeking a Senior Engineer to build and scale our next-generation AI platforms.

Key Responsibilities

  • AI & Agentic Engineering: Design and implement autonomous multi-agent systems and cognitive architectures using cutting-edge agentic frameworks.
  • Backend Architecture: Build high-performance, asynchronous Python microservices and robust REST/gRPC APIs.
  • AIOps & CI/CD: Establish end-to-end MLOps/AIOps pipelines, automating the testing, deployment, and monitoring of AI models and data products.
  • Data Infrastructure: Architect scalable data pipelines and query patterns across data platforms such as Snowflake/Databricks/Lakehouse.

Required Qualifications

  • Python Expertise: good knowledge of advanced Python (Asyncio, FastAPI, Pytest) applied to distributed microservices.
  • Agentic Frameworks: Hands-on experience developing with frameworks like LangGraph, CrewAI, AutoGen, or Semantic Kernel.
  • Data Ecosystem: Deep technical proficiency with Snowflake, Databricks (Unity Catalog, Delta Lake), or Lakehouse architectures.
  • DevOps & AIops: Proven track record building CI/CD pipelines (GitHub Actions, GitLab CI) and monitoring infrastructure (Prometheus, Grafana, MLflow).


Contract Position

Implementing Partner – HCL tech

Contract Position
Location – New York, NY
Duration: 6-9 months (possible extensions)

Job Summary: 

Senior AI & Platforms Engineer

Role Overview

We are seeking a Senior Engineer to build and scale our next-generation AI platforms.

Key Responsibilities

  • AI & Agentic Engineering: Design and implement autonomous multi-agent systems and cognitive architectures using cutting-edge agentic frameworks.
  • Backend Architecture: Build high-performance, asynchronous Python microservices and robust REST/gRPC APIs.
  • AIOps & CI/CD: Establish end-to-end MLOps/AIOps pipelines, automating the testing, deployment, and monitoring of AI models and data products.
  • Data Infrastructure: Architect scalable data pipelines and query patterns across data platforms such as Snowflake/Databricks/Lakehouse.

Required Qualifications

  • Python Expertise: good knowledge of advanced Python (Asyncio, FastAPI, Pytest) applied to distributed microservices.
  • Agentic Frameworks: Hands-on experience developing with frameworks like LangGraph, CrewAI, AutoGen, or Semantic Kernel.
  • Data Ecosystem: Deep technical proficiency with Snowflake, Databricks (Unity Catalog, Delta Lake), or Lakehouse architectures.
  • DevOps & AIops: Proven track record building CI/CD pipelines (GitHub Actions, GitLab CI) and monitoring infrastructure (Prometheus, Grafana, MLflow).