Technical Lead

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📍 Bangalore, India

About this role

Job Summary

TECHNICAL JOB DESCRIPTION
• Use software development (Java, C/C++, and/or Go) to build, code, and unit-test solution components using the required scope.
• Use ML infrastructure (model deployment, debugging). Vertex AI to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by AI/ML Ops.
• Use evaluation to automate build, deployment, monitoring, and production support activities using the required scope.
• Apply data processing as additional skill requirements for this demand.
• Apply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.
• Ensure adherence to secure coding, data handling, and access-control practices relevant to the platforms used in this demand.
• Demonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms.
• Maintain current proficiency, certifications, or hands-on practice on the primary tools listed for this role.
• Follow approved designs and engineering standards while using the above tools on assigned tasks.
FUNCTIONAL JOB DESCRIPTION
• Analyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations.
• Translate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables.
• Facilitate requirement reviews, solution walkthroughs, demonstrations, UAT coordination, and business sign-off.
• Maintain functional specifications, process flows, decisions, risks, dependencies, and status reporting.
• Support stakeholder discussions, clarify assigned requirements, and escalate risks early.
• Support release readiness, user enablement, knowledge transfer, and post-go-live stabilization.
• Demonstrate strong verbal and written communication skills to engage client stakeholders, business users, and cross-functional delivery teams.
• Bring approximately 2 to 4 years of relevant industry experience aligned to the Junior Engineer band, with a track record of delivery in similar engagements.
• Apply working knowledge of AI domain standards, compliance expectations, and business processes relevant to this engagement.

Key Responsibilities

TECHNICAL JOB DESCRIPTION
• Use software development (Java, C/C++, and/or Go) to build, code, and unit-test solution components using the required scope.
• Use ML infrastructure (model deployment, debugging). Vertex AI to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by AI/ML Ops.
• Use evaluation to automate build, deployment, monitoring, and production support activities using the required scope.
• Apply data processing as additional skill requirements for this demand.
• Apply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.
• Ensure adherence to secure coding, data handling, and access-control practices relevant to the platforms used in this demand.
• Demonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms.
• Maintain current proficiency, certifications, or hands-on practice on the primary tools listed for this role.
• Follow approved designs and engineering standards while using the above tools on assigned tasks.
FUNCTIONAL JOB DESCRIPTION
• Analyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations.
• Translate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables.
• Facilitate requirement reviews, solution walkthroughs, demonstrations, UAT coordination, and business sign-off.
• Maintain functional specifications, process flows, decisions, risks, dependencies, and status reporting.
• Support stakeholder discussions, clarify assigned requirements, and escalate risks early.
• Support release readiness, user enablement, knowledge transfer, and post-go-live stabilization.
• Demonstrate strong verbal and written communication skills to engage client stakeholders, business users, and cross-functional delivery teams.
• Bring approximately 2 to 4 years of relevant industry experience aligned to the Junior Engineer band, with a track record of delivery in similar engagements.
• Apply working knowledge of AI domain standards, compliance expectations, and business processes relevant to this engagement.

Skill Requirements

software development (Java, C/C++, and/or Go), 
ML infrastructure (model deployment, evaluation, data processing, debugging). Vertex AI 

Secondary skills:

AI/ML Ops

TECHNICAL JOB DESCRIPTION
• Use software development (Java, C/C++, and/or Go) to build, code, and unit-test solution components using the required scope.
• Use ML infrastructure (model deployment, debugging). Vertex AI to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by AI/ML Ops.
• Use evaluation to automate build, deployment, monitoring, and production support activities using the required scope.
• Apply data processing as additional skill requirements for this demand.
• Apply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.
• Ensure adherence to secure coding, data handling, and access-control practices relevant to the platforms used in this demand.
• Demonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms.
• Maintain current proficiency, certifications, or hands-on practice on the primary tools listed for this role.
• Follow approved designs and engineering standards while using the above tools on assigned tasks.
FUNCTIONAL JOB DESCRIPTION
• Analyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations.
• Translate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables.
• Facilitate requirement reviews, solution walkthroughs, demonstrations, UAT coordination, and business sign-off.
• Maintain functional specifications, process flows, decisions, risks, dependencies, and status reporting.
• Support stakeholder discussions, clarify assigned requirements, and escalate risks early.
• Support release readiness, user enablement, knowledge transfer, and post-go-live stabilization.
• Demonstrate strong verbal and written communication skills to engage client stakeholders, business users, and cross-functional delivery teams.
• Bring approximately 2 to 4 years of relevant industry experience aligned to the Junior Engineer band, with a track record of delivery in similar engagements.
• Apply working knowledge of AI domain standards, compliance expectations, and business processes relevant to this engagement.

Other Requirements

TECHNICAL JOB DESCRIPTION
• Use software development (Java, C/C++, and/or Go) to build, code, and unit-test solution components using the required scope.
• Use ML infrastructure (model deployment, debugging). Vertex AI to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by AI/ML Ops.
• Use evaluation to automate build, deployment, monitoring, and production support activities using the required scope.
• Apply data processing as additional skill requirements for this demand.
• Apply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.
• Ensure adherence to secure coding, data handling, and access-control practices relevant to the platforms used in this demand.
• Demonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms.
• Maintain current proficiency, certifications, or hands-on practice on the primary tools listed for this role.
• Follow approved designs and engineering standards while using the above tools on assigned tasks.
FUNCTIONAL JOB DESCRIPTION
• Analyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations.
• Translate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables.
• Facilitate requirement reviews, solution walkthroughs, demonstrations, UAT coordination, and business sign-off.
• Maintain functional specifications, process flows, decisions, risks, dependencies, and status reporting.
• Support stakeholder discussions, clarify assigned requirements, and escalate risks early.
• Support release readiness, user enablement, knowledge transfer, and post-go-live stabilization.
• Demonstrate strong verbal and written communication skills to engage client stakeholders, business users, and cross-functional delivery teams.
• Bring approximately 2 to 4 years of relevant industry experience aligned to the Junior Engineer band, with a track record of delivery in similar engagements.
• Apply working knowledge of AI domain standards, compliance expectations, and business processes relevant to this engagement.

Frequently Asked Questions

Is the salary disclosed for the Technical Lead position at HCLTech?
The salary for this Technical Lead role at HCLTech is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Technical Lead position at HCLTech located?
This Technical Lead role at HCLTech is based in Bangalore, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Technical Lead position at HCLTech?
Click the "Apply Now" button on this page. You will be redirected to HCLTech's official application portal hosted on successfactors where you can submit your application directly.
When was the Technical Lead job at HCLTech posted?
This Technical Lead position at HCLTech was posted on Oct 1, 2026. Apply as soon as possible — early applications are often reviewed first.
Technical Lead
HCLTech
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