Solutions Architect, Generative AI Deployment (AI Engineering)

TL;DR

Solutions Architect, Generative AI Deployment (AI Engineering): Ensuring safe and effective deployment of Generative AI applications for developers and enterprises with an accent on building a strong backlog of GenAI use cases. Focus on driving these initiatives from prototype to production through hands-on technical guidance and partnership, taking a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, hirify.global APIs, and the broader ecosystem of tools and services.

Location: Based in the Munich office. Hybrid work model (3 days/week in the office) and relocation assistance for new employees.

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• 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.

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.
• Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are 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.
• Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.

Culture & Benefits

• Dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
• An equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
• Committed to providing reasonable accommodations to applicants with disabilities.