AI Solution Architect I

HCLTech; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

HCL Technologies Limited seeks an experienced Responsible AI & AI Governance Lead to guide clients in building governance practices across AI initiatives. This individual contributor role delivers governance frameworks, compliance support, and responsible adoption of AI across AI/ML, Generative AI, Agentic AI, and Autonomous AI systems in collaboration with senior consultants and client stakeholders.

The role requires strong understanding of AI risk, regulatory requirements, and ability to

Qualifications

• Experience in Responsible AI, AI Governance, AI Risk Management, Model Governance, or related areas.
• Good understanding of AI governance frameworks, regulatory requirements, and governance controls.
• Strong client-facing and communication skills.
• Ability to translate business requirements into practical AI governance solutions.

Responsibilities

• Support development and implementation of Responsible AI and AI Governance frameworks and roadmaps.
• Help clients implement governance practices aligned with business and regulatory requirements.
• Apply AI governance standards (NIST AI RMF, EU AI Act, ISO/IEC 42001, OECD AI Principles, OWASP, FINOS).
• Configure governance policies, controls, guardrails, standards, and playbooks.
• Integrate governance controls across the AI lifecycle.
• Participate in AI risk assessments and Red Teaming activities across AI systems.
• Prepare governance documentation, assessment reports, and client deliverables.
• Support client workshops, demonstrations, proposals, and implementation activities.
• Stay current with AI regulations and governance trends.

Skills

Responsible AI

AI Governance

AI Risk Management

Model Governance

AI security

Privacy

Fairness

Explainability

Regulatory compliance

Stakeholder management

Job description

Requisition ID177937-Posted10/30/2026

We are looking for an experienced Responsible AI & AI Governance Lead to support clients in implementing Responsible AI and AI Governance practices across AI initiatives. This individual contributor role focuses on delivering governance solutions, implementing governance frameworks, supporting regulatory compliance, and enabling the responsible adoption of AI across AI/ML, Generative AI, Agentic AI, and Autonomous AI systems while collaborating with senior consultants and client stakeholders.

Key Responsibilities

• Support the development and implementation of Responsible AI and AI Governance frameworks and implementation roadmaps.
• Support clients in implementing Responsible AI and AI Governance practices aligned with business and regulatory requirements.
• Apply AI governance standards and frameworks, including NIST AI RMF, EU AI Act, ISO/IEC 42001, OECD AI Principles, OWASP, FINOS, and other applicable regulations.
• Configure and implement AI governance frameworks, policies, controls, guardrails, standards, and governance playbooks.
• Support the integration of governance controls across the AI lifecycle.
• Participate in AI risk assessments and AI Red Teaming activities across AI/ML, Generative AI, Agentic AI, and Autonomous AI systems.
• Prepare governance documentation, assessment reports, and client deliverables.
• Support client workshops, solution demonstrations, proposals, and implementation activities.
• Stay current with emerging AI regulations, governance practices, and technology trends.

Skill Requirements

• Experience in Responsible AI, AI Governance, AI Risk Management, Model Governance, or related areas.
• Good understanding of AI governance frameworks, regulatory requirements, and governance controls.
• Working knowledge of areas such as AI security, privacy, fairness, explainability, and model risk.
• Familiarity with AI/ML, Generative AI, and Agentic AI concepts.
• Ability to document and implement governance requirements in a structured manner.
• Experience implementing AI Governance or Responsible AI solutions for enterprise clients.
• Ability to support governance assessments, framework implementation, and compliance activities.
• Strong client-facing, stakeholder management, and communication skills.
• Ability to translate business requirements into practical AI governance solutions.