Principal Solution Architect, Platform Engineering

Quick Facts

• Role: Principal Solution Architect (Platform Engineering)

• Primary focus: AI Engineering and governed, agent-driven capabilities across the SDLC

• Reporting: Head of Architecture for Platform Engineering

Description

The Principal Solution Architect designs and drives adoption of enterprise platform capabilities, with a primary focus on architecting how AI and agentic capabilities are built into the software development lifecycle (SDLC). You will define patterns, platforms, and guardrails that move teams from individual AI assistance to governed, enterprise-scale workflows. You will also contribute across platform domains and may lead initiatives while bringing both broad enterprise platform thinking and deep AI expertise.

Responsibilities

• Contribute platform architecture thinking across platform domains, designing systems (APIs, services, events, data, UI) that help engineering teams deliver product capabilities rapidly

• Create and communicate target-state architectures using cloud-native patterns, supported by artifacts such as business case, process context, diagrams, and architecture decision records

• Lead architecture and roadmap for AI and agentic capabilities across the SDLC, including AI-assisted coding, automated code review and test generation, vulnerability and dependency remediation, documentation, and release/operations support with human-in-the-loop checkpoints

• Define shared foundations for safe, scalable AI adoption, including governed model access and routing, agent orchestration and tool integration via open standards such as Model Context Protocol (MCP), retrieval over internal code/knowledge, agent identity and least-privilege permissions, guardrails/audit trails, and evaluation/observability/cost management

• Partner to modernize front-end, middle-tier, and back-end stacks within an AI-first delivery model

• Lead vendor evaluations for fit with platform strategy and integration patterns

• Define and drive integration patterns so quality data, events, and services are available across internal systems and capabilities

• Partner on intake and evaluation of platform capabilities/features to influence decisions before execution

• Validate designs through proofs of concept and reference implementations; contribute to architecture reviews and governance

• Articulate the business value of the architectural roadmap with options and trade-offs aligned to business and engineering strategy

Requirements

• 10+ years of solution architecture and senior software engineering experience with significant hands-on product delivery

• Expert understanding of software and internet architecture, including modern front-end/back-end stacks, API management, IAM, cloud-native and on-prem infrastructure (containers, Kubernetes, infrastructure as code), networking, and browser/mobile delivery

• Deep expertise in AI-enabled engineering capabilities, including AI coding assistants and agents, LLM patterns (RAG, tool use, multi-agent orchestration), context engineering, and evaluation of model/agent quality

• Knowledge of AI SDLC risks and mitigations using identity, policy, human oversight, and auditability

• Demonstrated experience delivering platform capabilities for consumer-facing products, especially API- and event-driven systems

• Deep experience with modern SDLC practices (AI-enabled development, DevSecOps, CI/CD, GitOps, platform-as-a-product)

• Strong understanding of information security and data protection in regulated environments

• Collaborative mindset and exceptional communication skills to influence across organization levels

Benefits

Not specified in the provided posting.