Technical Lead
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Cybersecurity
In short
Responsibilities
- Design, develop, evaluate, and operationalize AI/agentic capabilities using AI/ML pipeline security, adversarial ML defense, and GCP AI infrastructure (Vertex AI).
- Design, provision, configure, migrate, and tune platform components using GKE, supported by GCP security posture review and enterprise cloud security architect.
- Implement, harden, test, and remediate security and access controls using data poisoning techniques, supported by IAM, VPC Service Controls, Cloud DLP, and Cloud Armor.
- Apply sound software engineering, configuration, and quality practices aligned to organizational standards.
- Ensure adherence to secure coding, data handling, and access-control practices.
- Collaborate with architects and peer engineers to validate design choices and technical trade-offs.
- Demonstrate strong analytical, debugging, and problem-solving skills.
- Maintain current proficiency, certifications, or hands-on practice on primary tools.
- Follow approved designs and engineering standards.
- Analyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations.
- Translate stakeholder needs into functional requirements, user stories, and acceptance criteria.
- 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 requirements, and escalate risks.
- Support release readiness, user enablement, knowledge transfer, and post-go-live stabilization.
- Demonstrate strong verbal and written communication skills.
Requirements
- Approximately 2 to 4 years of relevant industry experience aligned to the Junior Engineer band.
- Track record of delivery in similar engagements.
- Working knowledge of AI domain standards, compliance expectations, and business processes.
- AI/ML pipeline security, adversarial ML defense (model theft, prompt injection, data poisoning), and GCP AI infrastructure security (Vertex AI, GKE).
- GCP security posture review and enterprise cloud security architecture (Security Command Center, IAM, VPC Service Controls, Cloud DLP, Cloud Armor).
Benefits
- Supercharge your potential at HCLTech.
- Find your career at HCLTech.
- Find your spark at HCLTech.
- HCLTech puts its people first.
- Global technology company with over 223,000 people across 60 countries.
- Delivering industry-leading capabilities centered around digital, engineering, cloud and AI.
- Broad portfolio of technology services and products.
- 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.
Skills
HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, 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 September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…
Company
HCLTechJob Posted
4 days ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Associate
Locations
Bangalore, India
Applicants
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