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As a Partner Solutions Architect on the Applied AI team at Fireworks AI, you'll operate at the intersection of engineering, partnerships, and sales. You'll cultivate technical relationships with hyperscalers, neoclouds, system integrators, and ISVs while being hands-on in building demos, integrations, and joint solutions. This is a high-visibility role in a fast-growing team.You'll shape how the industry builds with generative AI by enabling partners to successfully deploy Fireworks at scale. As an early member of a rapidly growing team, your work will directly accelerate our GTM strategy and partner ecosystem growth.
Job Responsibility:
Serve as the technical authority and owner between Fireworks partnerships, product, engineering, and sales teams
Identify high value partners to develop relationships and build technical integrations with reference architectures
Embed with partner technical teams to enable their AI practices and evangelize Fireworks through their developer communities
Serve as escalation point for complex technical issues and unblock strategic customer deals
Build production-ready demos, reference architectures, and integrations with partner platforms
Develop joint solutions for high-value industry-specific GenAI applications
Codify best practices to accelerate partner and customer time-to-deployment and first-time-to-value
Present and demonstrate Fireworks capabilities at partner events, conferences, and technical workshops
Lead partner hands on workshops and developer enablement sessions
Drive technical engagement in partner slack channels and developer communities
Gather partner deployment patterns and use case feedback to inform product roadmap
Identify opportunities to deepen partner technical capabilities and drive indirect revenue growth
Requirements:
5+ years in technical customer/partner-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, customer facing Data Scientist)
Proven ability to both build (write code, create demos, architect solutions) and evangelize (present, teach, build relationships)
Python skills and experience with cloud infrastructure (AWS, GCP, Azure)
Familiarity with LLM frameworks, ML tooling, or data science background
Track record partnering with cloud providers, SIs, or ISVs on complex technical projects
Exceptional communication skills across C-suite, engineering teams, and business stakeholders
Excitement for fast-paced environments where you balance competing priorities across engineering, partnerships, and sales
Nice to have:
MS or PhD in computer science, engineering or related field
7+ years in technical customer/partner-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, customer facing Data Scientist)
Demonstrated track record of taking GenAI proof-of-concepts to production-scale enterprise deployments
Expert-level Python proficiency with hands-on experience architecting and deploying production ML/AI systems on cloud platforms
Proven ability to create and deliver compelling technical narratives for diverse audiences—from writing code samples and architectural diagrams for ML engineers to crafting business-value presentations for C-suite executives and non-technical stakeholders
What we offer:
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation
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