Hybrid Solutions Architect

at Lakera

• Job title: Solutions Architect
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, San Francisco, United States

About the role

• Solutions Architect collaborating with enterprise customers to build secure AI systems. Driving adoption and alignment throughout the post-sales lifecycle as a technical advisor.

Responsibilities

• Develop deep expertise in AI security, AI infrastructure, and modern AI deployment architectures, becoming a trusted technical resource for customers and internal teams.
• Lead the technical workstream for enterprise accounts, partnering closely with CSMs to guide customers from onboarding through adoption, value realization, and expansion.
• Advise on AI security best practices and architectural design, including AI gateway patterns, integration approaches, infrastructure tradeoffs, and deployment strategies for both SaaS and self-hosted environments.
• Gain a thorough understanding of each customer’s architecture and use cases to ensure Lakera integrates seamlessly, securely, and with measurable impact.
• Own the first line of technical troubleshooting and solutions, collaborating with Engineering and CSMs to drive timely resolution and implement long-term fixes.
• Help customers adopt emerging AI ecosystem standards and protocols, offering clear guidance as the landscape evolves.
• Showcase new features and capabilities, enabling customers to get maximum value from the platform.
• Optimize customer configurations and rollout strategies, ensuring secure, scalable, and safe deployments tailored to each environment.
• Support expansion opportunities, providing the technical lens that informs customer growth plans and long-term architectural strategy.
• Serve as a key feedback loop to Product and Engineering, surfacing insights that shape product direction and roadmap priorities.

Requirements

• Background in technical advisory or solutions architecture, with hands-on experience supporting both SaaS and on-premise enterprise customers.
• Deep interest in the AI security ecosystem, including model governance, deployment architectures, guardrails, policy enforcement, and emerging industry standards.
• A track record of partnering with customer-facing teams (e.g., CSMs, TAMs, GTM leads) to drive adoption, expansion, and long-term customer value.
• Strong architectural design and review skills, with the ability to assess customer environments and provide clear, strategic technical recommendations.
• Expertise in diagnosing and resolving complex technical issues, especially in mission-critical enterprise settings.
• Exceptional communication abilities, able to translate highly technical concepts for diverse stakeholders, influence decision-making, and build trust quickly.
• Experience working with AI-centric platforms or products, particularly in model operations, security, or governance, is a significant plus.

Benefits

• We are committed to paying fairly and aim for these three elements collectively to be highly competitive with market rates.