Enterprise AI Architect

Enterprise AI Architect 

Remote

Full-Time / Direct-Hire / FTE

We are hiring Enterprise AI Architect to lead the Enterprise AI roadmap and AI platform strategy. Act as the primary advisor for Google Cloud and Vertex AI adoption. Define scalable, secure, and governed AI architecture patterns. Drive Agentic AI use cases across enterprise business functions. Establish standards for AI governance, integration, security, and operational readiness. Drives enterprise-scale AI adoption aligned with the Customer's business objectives. Establishes a unified AI platform strategy across business functions. Accelerates value realization from Google Cloud and Vertex AI investments. Ensures AI solutions are secure, governed, scalable, and production-ready. Creates reusable AI architecture patterns that reduce delivery timelines and risks.

Skills / Experience

• 12+ years overall IT experience and 6+ years in Enterprise/AI/Cloud Solution Architecture & Design
• Agentic AI / GenAI or Enterprise AI initiatives / Solution Architecture: 4+ years
• Google Cloud Platform (Google Cloud Platform) & Vertex AI: 3+ years
• Enterprise AI/Cloud Architecture & Solution Design: 6+ years
• 2+ years in designing and delivering Agentic AI/LLM-based solutions
• SAP S/4HANA Integration Architecture, including OData/BAPI/API patterns: 3+ years
• Python & AI application architecture: 5+ years
• Agent orchestration, tool/API calling & workflow automation: 2+ years
• REST APIs / Enterprise Integration Architecture: 5+ years
• Security, IAM, service accounts, RBAC & enterprise governance: 4+ years
• Human-in-the-Loop, approval workflows, auditability & AI guardrails: 2+ years
• Production AI architecture including logging, monitoring, exception handling & resiliency: 3+ years
• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Science, AI, or related field
• Google Cloud, Vertex AI, AI/ML, Cloud Architecture, or Security certifications preferred
• Secondary Skills / Good to have - SAP Finance / month-end close process understanding - 2 years. Google Chat / notification and approval integration: 1+ year. Web application / command-center architecture: 3 years. CI/CD and cloud deployment architecture: 3 years. SIT/UAT and enterprise production-readiness planning: 4 years. Agentic AI risk, governance, and control frameworks: 2 years

Job / Role Description

• Strategy & Advisory - Define and evolve the Customer's Enterprise AI roadmap; Provide executive-level recommendations on AI investments and platform choices. Identify and prioritize high-value AI and Agentic AI use cases
• AI & Platform Architecture - Design enterprise-scale Agentic AI and Gen AI architectures; Define reference architectures on Google Cloud and Vertex AI. Establish standards for LLM usage, grounding, orchestration, and governance; Architect multi-agent workflows and autonomous decision frameworks
• SAP & Enterprise Integration - Design integrations with SAP S/4HANA using APIs, OData, and BAPIs; Enable AI agents to securely interact with enterprise applications; Define integration, data access, and workflow automation standards
• Security & Governance - Define AI security architecture, IAM, RBAC, and access controls; Establish auditability, compliance, human approvals, and AI guardrails; Implement responsible AI governance and risk mitigation frameworks
• Delivery & Operations - Define observability, monitoring, logging, and resiliency standards; Drive production readiness reviews, SIT/UAT support, and deployment governance; Mentor engineering teams and conduct architecture reviews
• Cross-functional collaboration and leadership; Mentoring and team enablement capabilities; Ability to simplify complex technical concepts; Executive communication and presentation skills; Strategic thinking and business outcome orientation; Consultative stakeholder management; Strong problem-solving and analytical abilities; Influencing and decision-making without direct authority;