Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.
Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.
Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.
Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.
Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.
Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.
Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
Strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences.
Experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.
Hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.
Proactively acquiring new skills or knowledge as needed to drive success.
Humble, collaborative mindset and eagerness to support teammates and customers alike.
Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.

AI Deployment Engineer

Key skills