Technical Specialist

Job Summary

TECHNICAL JOB DESCRIPTION

• Use Vertex AI Model Garden. Proven expertise in Python development, Flask, Django. Solid understanding of API development principles and best... to build, code, and unit-test solution components using the required scope, supported by Developer.
• Use Strong understanding of generative AI concepts and techniques. Hand..., Vertex AI Pipelines to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.
• Use Docker, Kubernetes. Knowledge of cloud infrastructure and DevOps practices to design, provision, configure, migrate, and tune platform components using the required scope.
• Apply including experience with relevant frameworks e.g 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.
• 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.

Key Responsibilities

TECHNICAL JOB DESCRIPTION

• Use Vertex AI Model Garden. Proven expertise in Python development, Flask, Django. Solid understanding of API development principles and best... to build, code, and unit-test solution components using the required scope, supported by Developer.
• Use Strong understanding of generative AI concepts and techniques. Hand..., Vertex AI Pipelines to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.
• Use Docker, Kubernetes. Knowledge of cloud infrastructure and DevOps practices to design, provision, configure, migrate, and tune platform components using the required scope.
• Apply including experience with relevant frameworks e.g 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.
• 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

Strong understanding of generative AI concepts and techniques. Hands-on experience with Google Cloud's Vertex AI platform and its related tools (e.g., Vertex AI Pipelines, Vertex AI Model Garden). Proven expertise in Python development, including experience with relevant frameworks (e.g., Flask, Django). Solid understanding of API development principles and best practices. Familiarity with OpenAPI standards for API design and documentation. Excellent problem-solving and debugging skills. Strong communication and collaboration skills. Experience with containerization technologies (e.g., Docker, Kubernetes). Knowledge of cloud infrastructure and DevOps practices.

TECHNICAL JOB DESCRIPTION

• Use Vertex AI Model Garden. Proven expertise in Python development, Flask, Django. Solid understanding of API development principles and best... to build, code, and unit-test solution components using the required scope, supported by Developer.
• Use Strong understanding of generative AI concepts and techniques. Hand..., Vertex AI Pipelines to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.
• Use Docker, Kubernetes. Knowledge of cloud infrastructure and DevOps practices to design, provision, configure, migrate, and tune platform components using the required scope.
• Apply including experience with relevant frameworks e.g 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.
• 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 Vertex AI Model Garden. Proven expertise in Python development, Flask, Django. Solid understanding of API development principles and best... to build, code, and unit-test solution components using the required scope, supported by Developer.
• Use Strong understanding of generative AI concepts and techniques. Hand..., Vertex AI Pipelines to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.
• Use Docker, Kubernetes. Knowledge of cloud infrastructure and DevOps practices to design, provision, configure, migrate, and tune platform components using the required scope.
• Apply including experience with relevant frameworks e.g 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.
• 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.