You will be taken to HCLTech’s own careers page to apply. Job ID 1372210955.
Job description
Job Summary
TECHNICAL JOB DESCRIPTION
Use Traditional AI/ML - Strong Agentic Development - ADK to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.
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.
Collaborate with architects and peer engineers to validate design choices and technical trade-offs for the above tools.
Keep technical documentation, runbooks, and configuration artifacts current for the tools and platforms used.
Participate in code or configuration reviews and knowledge-sharing sessions to strengthen team capability on the above stack.
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.
Own technical design decisions, code and configuration reviews, and standards for the above tools.
FUNCTIONAL JOB DESCRIPTION
Analyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations.
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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.
Lead stakeholder alignment, prioritization, and cross-team dependency resolution.
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 7 to 10 years of relevant industry experience aligned to the Senior 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 Traditional AI/ML - Strong Agentic Development - ADK to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.
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.
Collaborate with architects and peer engineers to validate design choices and technical trade-offs for the above tools.
Keep technical documentation, runbooks, and configuration artifacts current for the tools and platforms used.
Participate in code or configuration reviews and knowledge-sharing sessions to strengthen team capability on the above stack.
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.
Own technical design decisions, code and configuration reviews, and standards for the above tools.
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.
Lead stakeholder alignment, prioritization, and cross-team dependency resolution.
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 7 to 10 years of relevant industry experience aligned to the Senior 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
Traditional AI/ML - Strong Agentic Development - ADK
TECHNICAL JOB DESCRIPTION
Use Traditional AI/ML - Strong Agentic Development - ADK to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.
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.
Collaborate with architects and peer engineers to validate design choices and technical trade-offs for the above tools.
Keep technical documentation, runbooks, and configuration artifacts current for the tools and platforms used.
Participate in code or configuration reviews and knowledge-sharing sessions to strengthen team capability on the above stack.
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.
Own technical design decisions, code and configuration reviews, and standards for the above tools.
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.
Lead stakeholder alignment, prioritization, and cross-team dependency resolution.
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 7 to 10 years of relevant industry experience aligned to the Senior 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 Traditional AI/ML - Strong Agentic Development - ADK to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.
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.
Collaborate with architects and peer engineers to validate design choices and technical trade-offs for the above tools.
Keep technical documentation, runbooks, and configuration artifacts current for the tools and platforms used.
Participate in code or configuration reviews and knowledge-sharing sessions to strengthen team capability on the above stack.
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.
Own technical design decisions, code and configuration reviews, and standards for the above tools.
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.
Lead stakeholder alignment, prioritization, and cross-team dependency resolution.
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 7 to 10 years of relevant industry experience aligned to the Senior 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.
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