Agentic Solutions Architect
New
A
AHEADAI software
United StatesFull-Time
Salary160,000 - 180,000 USD per year
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Job Details
- Required Skills
- AWSGraphQLPythonJavascriptTypeScriptRESTful APIs
Requirements
- Experience with AWS and cloud-hosted foundation models or agent platforms, such as Amazon Bedrock or AgentCore, or equivalent technologies.
- Experience with 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.
- Ability to influence multiple teams or squads without relying solely on formal authority.
- Written and verbal communication skills, including explaining architecture and tradeoffs to business stakeholders and executives.
- Experience creating architecture diagrams, ADRs, technical requirements, nonfunctional requirements, and implementation guidance.
- Preferred experience with enterprise SaaS and business systems such as Salesforce, ServiceNow, Microsoft 365, or SharePoint.
- Relevant cloud, security, AI, or architecture certifications are helpful but do not substitute for demonstrated production experience.
Responsibilities
- Partner with business stakeholders and team leadership to understand goals, workflows, users, constraints, and success measures.
- Assess whether an agentic solution is appropriate compared with deterministic workflows, existing capabilities, or no-AI solutions.
- Translate business needs into technical requirements, scope boundaries, roadmaps, architectural options, and implementation plans.
- Own solution architecture for a portfolio of use cases and agentic applications delivered by several squads.
- Map workflows, trigger events, human approvals, system interactions, failure paths, and operational handoffs.
- Define agent package structure, task graphs, orchestration patterns, and responsibilities across agents, code, tools, and platform services.
- 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.
- Apply architecture standards, approval controls, guardrails, and governance requirements throughout delivery.
- Directly manage engineers across multiple product squads and communicate architecture status, risks, and tradeoffs.
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