AI Platform Architect

Overview Enterprise Agentic Architecture & Integration (30%) Define solution architecture patterns for internal platforms (PepGenX, PepVigil, PepSense, etc.), including how enterprise agentic orchestrators integrate with SaaS AI platforms and how agent capabilities are designed, governed, and operationalized. Governance Framework, Engineering Principles & Pattern Library (30%) Document, maintain, and continuously update engineering principles, governance framework, and reusable patterns to ensure consistent delivery across internal platform builds. Evaluate new technologies and drive adoption of proven architectural patterns to reduce bespoke implementations. Architecture Review, Approval & Exception Governance (25%) Architect and govern delivery PIs for internal platform builds; ensure solution architectures are reviewed and approved per established patterns. Govern edge use cases and deviations via controlled, case-by-case review in collaboration with platform teams. Cross-Platform Alignment & Adoption Enablement (15%) Enable adoption through clear documentation and guidance so delivery teams can implement solutions consistently across internal platforms (PepGenX, PepVigil, PepSense, etc.), aligned to platform standards, engineering principles, and governance expectations. Decision-Making Autonomy Moderate – Significant autonomy in technical aspects including new technology evaluation, pattern definition, and platform architecture decisions, working under the strategic direction provided by the Senior AI Solutions Manager. Supervision Required Moderate – Operates with general guidance from the Senior AI Solutions Manager, with regular updates for alignment and support. Complexity of Role High – The role requires architecting delivery PIs for complex internal platform builds, evaluating emerging technologies, integrating enterprise agentic orchestrators with SaaS AI platforms, and ensuring successful integration with existing enterprise systems while maintaining scalability. Cross-Functional Interactions Yes – Regular interaction with Data Science, Engineering, IT, digital products and business stakeholders to ensure effective platform architecture and delivery. Responsibilities Required Expertise: Must-have experience in integrating enterprise agentic orchestrators with SaaS AI platforms. Strong understanding of agentic architecture patterns, including agent/action design, security models, and enterprise integration patterns. Experience architecting internal platform builds (e.g., PepGenX, PepVigil, PepSense) through delivery PIs, from design through production readiness. Deep expertise in engineering principles, reusable patterns, and governance frameworks for platform delivery. Strong hands-on architecture experience with enterprise integration touchpoints (APIs, identity, data flows) across platforms such as Salesforce and ServiceNow. Proficiency in Python, Java, or C++ (ability to engage engineering teams and design tool/service interfaces). Platform architecture for distributed systems, including multi-tenant design and environment isolation (dev/test/prod). Strong integration architecture background including API gateway-based patterns, identity integration (SSO/OAuth), and contract-driven interfaces; experience integrating with systems of record such as Salesforce and ServiceNow (SAP integration is a plus). Proven ability to evaluate new/emerging technologies and translate findings into actionable architecture recommendations and patterns for delivery teams. Strong operational readiness mindset: defining SLOs, observability standards (logs/metrics/traces), CI/CD gates (testing, security scans, approvals), and production support runbooks. Ability to drive adoption through documentation, reference implementations, and enablement of engineers and architects across teams. Qualifications 12+ years in enterprise architecture / platform engineering / solution architecture, with experience designing and governing enterprise-scale internal platforms. Proven experience architecting AI/agentic solutions in production, including security, governance, auditability, and operability.