AI Deployment Engineer (AI)

TL;DR

AI Deployment Engineer (AI): Ensures the safe and effective deployment of Generative AI applications for developers and enterprises, acting as trusted technical partners to help customers build and execute their AI adoption strategy. Focus on developing a strong backlog of GenAI use cases, guiding projects from prototype to production through hands-on technical guidance, and designing solutions that leverage hirify.global technologies within customer architectures and operations.

Location: This role is based in our Paris office, with a hybrid work model (3 days/week in the office). Relocation assistance to Paris, France is offered.

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity by pushing the boundaries of AI systems and safely deploying them to the world through its products.

What you will do

• Serve as the primary technical subject matter expert post-sale, embedding deeply with customers to design and deploy GenAI solutions.
• Engage with senior business and technical stakeholders to identify, prioritize, and validate high-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.
• 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.
• Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.

Requirements

• 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
• Strong communication skills, 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 comfortable building prototypes or proofs of concept.
• Ability to take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed.
• Humble, collaborative mindset and an eagerness to support teammates and customers alike.

Culture & Benefits

• Hybrid work model (3 days/week in the office).
• Relocation assistance for new employees.
• Dedicated to ensuring general-purpose artificial intelligence benefits all of humanity.
• Committed to providing reasonable accommodations to applicants with disabilities.
• Equal opportunity employer, committed to diversity and inclusion.