Your contribution to something big:
Shape AI architecture: Define solution architectures, agentic interaction patterns, and engineering standards for Generative AI solutions, including tool calling, APIs, Model Context Protocol (MCP), and robust fallback mechanisms.
Enable scalable AI integration: Establish reusable patterns for integrating AI capabilities with enterprise platforms, applications, data, and user interfaces.
Drive standardization and governance: Develop pragmatic standards and production-readiness criteria that help AI product teams move efficiently from prototypes to reliable, scalable solutions.
Connect technology and security: Collaborate with IT and security functions to align AI architectures with approved enterprise platforms, identity and access management (IAM), cybersecurity, and compliance requirements.
Be a technical sparring partner: Support developers, architects, and use case owners as a technical authority and trusted partner throughout the AI solution lifecycle.
Evaluate what comes next: Assess emerging AI models, agent frameworks, and external technologies with regard to scalability, security, performance, and cost efficiency.
Prototype new approaches: Build and validate prototypes to explore new architectural patterns and accelerate the adoption of promising AI technologies.
The boar re-runs this search every day and emails you what’s new — scraped straight from company career sites, no recruiter spam. Free.