Role OverviewThe Senior AI Platform Architect owns the architecture, standards, and technical direction of our enterprise AI ecosystem, spanning platforms, models, agents, and integrations.
What You Will Do
Design and guide delivery of AI agents, assistants, RAG solutions, and AI-powered workflows, partnering closely with data, infrastructure, security, application, and business teams.
Why It Might Be a Fit
The ideal candidate combines enterprise architecture expertise with hands-on experience building AI solutions using modern agent frameworks, APIs, function calling, Model Context Protocol (MCP), enterprise SaaS platforms, and cloud-native technologies.
Requirements
- 8+ years shaping enterprise architecture, software engineering, or platform engineering initiatives at scale
- Bachelor’s degree in computer science, Engineering, or a related technical discipline
- Deep expertise in agentic AI, including MCP, function calling, tool orchestration, and context management strategies
- Strong command of RAG, LLMs and SLMs, semantic search, AI evaluation, monitoring, and responsible AI practices
- Proficient in languages such as Python, Java, and TypeScript
- Hands-on experience scaling containerized workloads, using Docker, Kubernetes, and autoscaling technologies to optimize performance and reliability
- Solid knowledge of enterprise security, identity management, RBAC, privacy, and regulatory requirements
Benefits
- Health, dental and vision insurance
- 401(k) with match
- Employee assistance programs
- Paid time off
- Paid sick time off
- Paid holidays
- Paid parental leave
- Professional development opportunities
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