Technical Specialist

Job Summary

TECHNICAL JOB DESCRIPTION

• Use Python, Fast API to build, code, and unit-test solution components using the required scope.
• Use Vertex AI, ADK, Agent Engine, Agent Evaluation, RAG to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by Multi Agent Systems, LangGraph, Langchain.
• 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.
• 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 4 to 7 years of relevant industry experience aligned to the Regular 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 Python, Fast API to build, code, and unit-test solution components using the required scope.
• Use Vertex AI, ADK, Agent Engine, Agent Evaluation, RAG to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by Multi Agent Systems, LangGraph, Langchain.
• 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.
• 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 4 to 7 years of relevant industry experience aligned to the Regular 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

Vertex AI, ADK, Agent Engine, Agent Evaluation, Python, Fast API, RAG

Secondary skills:

Multi Agent Systems, LangGraph, Langchain

TECHNICAL JOB DESCRIPTION

• Use Python, Fast API to build, code, and unit-test solution components using the required scope.
• Use Vertex AI, ADK, Agent Engine, Agent Evaluation, RAG to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by Multi Agent Systems, LangGraph, Langchain.
• 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.
• 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 4 to 7 years of relevant industry experience aligned to the Regular 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 Python, Fast API to build, code, and unit-test solution components using the required scope.
• Use Vertex AI, ADK, Agent Engine, Agent Evaluation, RAG to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by Multi Agent Systems, LangGraph, Langchain.
• 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.
• 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 4 to 7 years of relevant industry experience aligned to the Regular 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.