Technical Lead
India
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Job Description
Technical Lead
Bangalore, Karnataka

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.
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.