Staff Solutions Architect

Overview

Lead AI Governance solution vision and act as the primary technical and domain advisor for Design Partner customers, bridging customer needs with Product Management, Engineering and Architecture.

What you'll do

• Define the AI Governance solution vision by translating strategic customer requirements, emerging regulations, and market needs into scalable platform capabilities, architectural patterns, and roadmap priorities.
• Serve as the primary technical and domain advisor for Design Partner customers, leading discovery sessions, architecture workshops, solution reviews, and technical assessments focused on AI governance, responsible AI, and enterprise AI adoption.
• Bridge customer needs with Product Management, Engineering, and Architecture by turning complex business objectives, governance requirements, and implementation gaps into reusable product investments and reference solutions.
• Design scalable, secure, and resilient solution patterns across AI inventories, AI assessments, AI risk management, governance workflows, model oversight, policy management, and compliance operations.
• Define integration and implementation approaches including APIs, data flows, governance controls, identity considerations, and operational workflows that enable customers to connect OneTrust into their broader enterprise ecosystem.
• Influence product and engineering direction through customer insight, technical feasibility analysis, and hands-on solution design that improves adoption, implementation speed, product quality, and long-term platform reuse.
• Act as the voice of the customer in roadmap planning, executive reviews, and cross-functional prioritization, ensuring high-value customer challenges become differentiated platform capabilities.
• Drive measurable customer outcomes tied to AI governance maturity, compliance readiness, risk reduction, operational efficiency, customer adoption, and long-term expansion opportunities.
• Establish best practices, reference architectures, and reusable implementation patterns that help internal teams and strategic customers operationalize responsible AI at enterprise scale.
• Represent OneTrust as a thought leader on AI governance frameworks, responsible AI principles, and enterprise solution design through strategic customer engagements, workshops, and field enablement.

What you'll need

• 8+ years of experience in solution architecture, enterprise architecture, solutions consulting, technical product leadership, or strategic customer-facing roles in enterprise SaaS environments.
• Significant experience in AI Governance, Responsible AI, AI Risk Management, Privacy, Security, Compliance, Data Governance, or related governance domains.
• Proven experience working directly with enterprise customers to define requirements, lead discovery, shape technical strategy, and drive adoption.
• Demonstrated ability to translate regulatory requirements, governance frameworks, and customer needs into scalable product capabilities and operational workflows.
• Experience designing enterprise-scale SaaS solutions, including APIs, integrations, data models, architecture patterns, and secure implementation approaches.
• Strong understanding of AI technologies, generative AI, LLMs, AI agents, evaluation frameworks, and governance considerations associated with enterprise AI deployments.
• Experience partnering across Product Management, Engineering, Architecture, UX, Legal, Privacy, Security, and Go-To-Market teams to influence roadmap and execution.
• Strong executive communication, workshop facilitation, presentation, and stakeholder management skills.
• Demonstrated ability to influence product strategy through customer insights, technical analysis, market understanding, and business impact assessment.
• Experience creating reference architectures, reusable implementation patterns, best practices, or solution standards that improve scalability and customer outcomes.
• Familiarity with AI regulations and frameworks such as the EU AI Act, NIST AI RMF, ISO 42001, model governance frameworks, and responsible AI principles.
• Bachelor's degree in a relevant field is required.

Nice to have

• Advanced certifications or credentials in AI governance, privacy, security, or architecture.

Details

• Location: Bengaluru, India.
• Office-first culture: three days a week in office for most roles; verify specific requirements with the recruiter during the first interview.