Agentic Solutions Architect

We are hiring an Agentic Solutions Architect to design production-grade agentic solutions on our internal platform across multiple delivery squads. This role connects business needs, product intent, and engineering execution: you will understand the problem to solve, shape viable options, make and communicate tradeoffs, be hands on keyboard coding, manage a team of engineers, and guide squads toward secure, observable, reusable, and supportable outcomes.

Responsibilities

• You will architect across several squads rather than serving as the architect for a single use case. You will partner with Product, Program, Tech Leads, engineers, security, and business stakeholders to ensure solution architectures align with the platform standards and broader engineering strategy.
• Partner with team leadership and business stakeholders to understand goals, workflows, users, constraints, and success measures.
• Help determine whether an agentic solution is appropriate, or whether a deterministic workflow, existing capability, or no-AI solution is better.
• Be able to challenge the status quo and look for simplicity, scalability, and staged solutions that deliver incremental value when needed.
• Translate business needs into technical requirements, scope boundaries, delivery roadmaps, architectural options, measurable outcomes, and implementation plans.
• Explain technical implications and communicate tradeoffs across scope, cost, quality, latency, security, risk, and delivery speed.
• Own solution architecture for a portfolio of use cases and agentic applications delivered by several squads within a larger delivery organization.
• Map end-to-end workflows, trigger events, human approvals, system interactions, failure paths, and operational handoffs.
• Define agent package structure, task graphs, orchestration patterns, and the division of responsibility between agents, deterministic code, tools, and platform services.
• Identify required systems, data sources, outputs, APIs, integrations, tools, and MCP capabilities.
• Work with partners to ensure dependencies are accounted for and managed across the portfolio of solutions in the role’s purview.
• Produce architecture diagrams, decision records, implementation guidance, acceptance criteria, and nonfunctional requirements.
• Manage cross-squad dependencies, technical debt, duplicate capabilities, and opportunities for reusable patterns, templates, connectors, and reference implementations.
• Collaborate with delivery teams to translate architecture into work packages, estimates, quality criteria, and delivery plans.
• Be hands on keyboard to guide and work with the teams and understand solutions to a granular level.
• Apply architecture standards, approval controls, guardrails, and governance requirements throughout delivery.
• Work with leadership to maintain solution architecture across teams for technical direction, engineering standards, capacity, and risk posture.
• Support developer onboarding and architecture education across squads.
• Coordinate decisions and dependencies across product, engineering, security, data, integrations, and business teams.
• Communicate architecture status, risks, dependencies, and tradeoffs to technical and executive audiences.
• Directly manage engineers executing across multiple small, focused product squads.

Requirements

• AWS and cloud-hosted foundation models or agent platforms, such as Amazon Bedrock or AgentCore, or equivalent technologies.
• Python, TypeScript/JavaScript, REST or GraphQL APIs, event-driven systems, serverless or containerized workloads, and infrastructure as code.
• Significant experience in software architecture, solutions architecture, technical leadership, or a similar role designing and delivering enterprise systems.
• Experience architecting and shipping production AI, generative AI, agentic, conversational, or intelligent-automation solutions.
• Strong understanding of agentic patterns, including orchestration, tool use, RAG, model selection, prompt and policy controls, human-in-the-loop approval, state and memory, evaluation, and fallback behavior.
• Experience integrating enterprise systems through APIs, events, connectors, workflow engines, or MCP-style tool patterns.
• Strong understanding of identity, authorization, data access, privacy, auditability, and secure-by-default design.
• Demonstrated ability to influence multiple teams or squads without relying solely on formal authority.
• Excellent written and verbal communication, including the ability to explain complex architecture and tradeoffs to business stakeholders and executives.
• Experience creating architecture diagrams, ADRs, technical requirements, nonfunctional requirements, and implementation guidance.