AI Deployment Engineer
Post-sale technical leader who partners with enterprise customers to design, prototype, and deploy production-grade Generative AI solutions using OpenAI technologies.
Responsibilities
- 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.
Requirements
- 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 alike.
- 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 comfortable building prototypes or proofs of concept.
- Take end-to-end ownership of challenges, 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.
Nice-to-Haves
- Experience with ChatGPT, OpenAI APIs, and broader ecosystem of tools and services.
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