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The job in short
Senior forward deployed engineer designing enterprise integrations and agentic AI workflows for customers.
AWSAzureGCPLLMsAgenticPayrollComplianceLLM
Details
- Found
- 14 d ago · posted 2026-08-12
- Location as listed
- Seattle, WA,US, US
- Role
- Solutions / Software Architect
- Source
- The company’s own careers site
Full description
Lead architecture for complex enterprise ecosystems across HCM, Payroll, WFM, ERP, IAM, and adjacent systems Design and deliver production-grade integrations, automation, and AI-enabled workflows Advise customers on agentic AI adoption, including orchestration, decisioning, and human-in-the-loop systems Translate business problems into scalable architectures combining systems + AI capabilities Act as a trusted technical advisor to CIO/CTO-level stakeholders Drive reusable accelerators, templates, and reference architectures Mentor and guide other FDEs; set technical standards and best practices Influence product roadmap through structured field feedback Guide enterprise customers on safe, compliant, and scalable AI adoption Design and prototype agentic workflows integrated with enterprise systems Identify high-value use cases for AI-driven automation and orchestration Balance AI innovation with enterprise constraints (security, governance, auditability) Contribute reusable AI patterns and reference implementations to the platform 10+ years in software engineering, architecture, or distributed systems Deep experience with enterprise integrations (APIs, event-driven systems, data pipelines, IAM) Strong cloud architecture experience (AWS, Azure, or GCP) Experience building production-grade systems in enterprise environments Strong customer-facing and executive communication skills Ability to operate autonomously and lead ambiguous, high-impact initiatives Experience with AI-enabled systems, LLMs, copilots, or automation frameworks Familiarity with agentic AI concepts (agents, orchestration, tool use) Understanding of enterprise AI constraints (security, privacy, compliance) Ability to translate AI strategy into production-ready architectures Strong systems thinking across human + AI + system interactions
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