Enterprise AI Architect

Join Distyl as a Senior Enterprise AI Architect, where you will serve as a long-term technical partner to strategic Fortune 500 customers. You will build trust with C-suite and technical leaders, shape solutions, and stay accountable for the technical relationship beyond signature. This role requires hands-on production delivery experience, strong working knowledge of APIs and integrations, and deep domain expertise in enterprise areas.

• Establish and maintain strategic technical relationships with Fortune 500 customers, serving as a trusted advisor and partner in identifying AI opportunities.
• Lead the technical architecture and feasibility assessments for AI solutions, ensuring alignment with customer needs and Distyl's platform capabilities.
• Collaborate with cross-functional teams to shape and deliver technically credible proposals, and stay engaged throughout the implementation process to ensure successful delivery.

• Demonstrated ability to operate as a senior technical advisor to executives: you can build trust, develop a point of view, shape ambiguous problems, influence decisions, and handle high-stakes technical conversations without relying on a script
• Ability to work effectively with FDE / Delivery / Product & Strategy teams — bringing them in at the right time, using their current implementation depth, and maintaining continuity
• Hands-on production delivery experience. You have designed, built, and shipped Enterprise-grade Agentic AI/ML systems and can reason credibly about implementation tradeoffs, reliability, integration, scale, security, and operating constraints
• 8+ years of relevant experience across engineering, enterprise architecture, forward-deployed engineering, solutions architecture, or similar roles, with substantial customer-facing responsibility
• Strong working knowledge of APIs, integrations, cloud and enterprise architecture, data flows, security considerations, and modern AI systems; coding fluency to prototype, inspect systems, and engage deeply with engineers
• Deep domain expertise in one or more enterprise areas such as customer support, voice, MarTech, Cybersecurity, IAM, or Document processing
• Proven ownership of complex enterprise solution architecture and scope, including the ability to write technical SOW content and align customer teams, GTM, and delivery around what is actually buildable
• Background in an FDE, engineering, or technical consulting organization where you owned both customer outcomes and technical decisions
• Experience in a partner-like role at a consulting firm, high-growth technology company, or enterprise software company with long, C-suite-led sales cycles
• Experience at an early-stage startup and comfort operating in ambiguous environments where the playbook is still being built