Job Summary

TECHNICAL JOB DESCRIPTION

- Use AI/ML pipeline security, adversarial ML defense model theft, prompt injection, and GCP AI infrastructure security Vertex AI to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.
- Use GKE to design, provision, configure, migrate, and tune platform components using the required scope, supported by GCP security posture review and enterprise cloud security architect.
- Use data poisoning to implement, harden, test, and remediate security and access controls using the required scope, supported by IAM, VPC Service Controls, Cloud DLP, Cloud Armor.
- 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.
- 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 AI/ML pipeline security, adversarial ML defense model theft, prompt injection, and GCP AI infrastructure security Vertex AI to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.
- Use GKE to design, provision, configure, migrate, and tune platform components using the required scope, supported by GCP security posture review and enterprise cloud security architect.
- Use data poisoning to implement, harden, test, and remediate security and access controls using the required scope, supported by IAM, VPC Service Controls, Cloud DLP, Cloud Armor.
- 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.
- Demonstrate robust 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

AI/ML pipeline security, adversarial ML defense (model theft, prompt injection, data poisoning), and GCP AI infrastructure security (Vertex AI, GKE).

Secondary skills:

GCP security posture review and enterprise cloud security architecture (Security Command Center, IAM, VPC Service Controls, Cloud DLP, Cloud Armor)

TECHNICAL JOB DESCRIPTION

- Use AI/ML pipeline security, adversarial ML defense model theft, prompt injection, and GCP AI infrastructure security Vertex AI to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.
- Use GKE to design, provision, configure, migrate, and tune platform components using the required scope, supported by GCP security posture review and enterprise cloud security architect.
- Use data poisoning to implement, harden, test, and remediate security and access controls using the required scope, supported by IAM, VPC Service Controls, Cloud DLP, Cloud Armor.
- 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.
- 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.

Must Have Skill

Google Cloud Platform (GCP),Google Kubernetes Engine (GKE),Vertex AI,ML Pipelines,Agentic AI

Good to Have Skill

Other Requirements

TECHNICAL JOB DESCRIPTION

- Use AI/ML pipeline security, adversarial ML defense model theft, prompt injection, and GCP AI infrastructure security Vertex AI to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.
- Use GKE to design, provision, configure, migrate, and tune platform components using the required scope, supported by GCP security posture review and enterprise cloud security architect.
- Use data poisoning to implement, harden, test, and remediate security and access controls using the required scope, supported by IAM, VPC Service Controls, Cloud DLP, Cloud Armor.
- 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.
- 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.

📌 Technical Lead (India)
🏢 HCLTech
📍 India