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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
As a Distinguished Architect for Enterprise AI Platform, you will be driving the design, implementation, scaling, and evangelism of the end-to-end AI platform that will be used across IT and Enterprise business functions (Sales, Marketing, Finance, HR, Legal, etc).
Given the fast pace of AI innovation, the platform will be designed for extensibility and flexibility to allow plug-and-play of emerging protocols (such as A2A, MCP), SDKs, frameworks, agent tools. You will be designing for performance, reliability, security, rapid experimentation, and developer friendliness. You will partner with executive leadership, data science teams, engineering, and product stakeholders to translate complex business use-cases into scalable, production-grade AI solutions—positioning the AI platform as a foundational capability across the organization.
Your Impact
Enterprise AI Platform Vision: Define and lead the long-term architectural strategy for AI/ML across the organization, aligning with enterprise goals and emerging technology trends.
End-to-End System Design: Architect large-scale, distributed AI/ML systems including traditional and GenAI model development, deployment patterns, Gen AI UX patterns, RBAC and fine-grained access control, real-time inference systems.
Technology and Platform Strategy: Drive selection of AI tools, frameworks, cloud solutions, and hybrid infrastructure that align with business and engineering needs.
Architectural Governance: Establish design standards, patterns, and review frameworks that ensure scalable and secure development of AI assistants, agents, apps across teams.
Cross-Functional Leadership: Collaborate with Data Scientists, ML Engineers, Data Engineers, and Product and IT leaders to ensure architectural decisions are feasible, cost-effective, and aligned with business needs.
Security & Responsible AI: Lead the conversation on responsible AI, ensuring systems comply with responsible AI, data governance, privacy laws, security policies, and ethical AI frameworks.
Technical Mentorship: Inspire and mentor senior engineering talent across the company. Promote architectural excellence, innovation, and hands-on experimentation.
Your Experience
15+ years in software engineering, distributed systems, or enterprise architecture, including 7+ years leading AI/ML architecture at scale.
Proven expertise in designing complex, enterprise-grade AI/ML platforms, ideally across multiple domains (e.g., customer support, finance, sales).
Deep knowledge of AI innovations and practical understanding of the full AI lifecycle for developing assistants, agents, apps.
Leadership in building production-ready AI compound AI systems including feature engineering, RAGs, model training and eval, validation, deployment, and monitoring.
Extensive experience with distributed systems architecture, streaming data platforms, data lakes, and real-time decision engines.
Strong communication skills with a track record of influencing across VP+ and cross-org stakeholders.
Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field. PhD a plus.
All your information will be kept confidential according to EEO guidelines.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $0 - $0/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.
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