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About Us:
At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta Py Torch and Google Vertex AI.
The Role:
As an Enterprise Solutions Architect at Fireworks.ai, you will be the technical and strategic cornerstone for our most ambitious enterprise customers. This is a highly technical, customer-facing leadership position where you will architect and guide the implementation of groundbreaking GenAI applications. You will translate complex business problems into scalable technical solutions, leveraging the full power of the Fireworks.ai platform to deliver transformative value. Your expertise will directly influence our product roadmap and cement our leadership in the AI infrastructure landscape.
Key Responsibilities:
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Strategic Customer Leadership: Serve as the primary technical trusted advisor for CTOs, VPs of Engineering and AI leads, guiding their AI strategy and architecting production-grade solutions for their most critical GenAI use cases (e.g., advanced RAG, AI agents, complex fine-tuning).
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Accelerate Time-to-Value: Lead and own the technical sales cycle, from scoping and executing high-impact Proof-of-Concepts to delivering compelling demonstrations that showcase our platform's superior performance and unique capabilities, like our function-calling and multi-modal models.
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Champion Development: Build and nurture relationships with technical champions and executive stakeholders, creating long-term partnerships and embedding Fireworks.ai as a critical platform for innovation.
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Voice of the Customer & Product Influence: Synthesize customer feedback and market trends into high-signal, actionable insights for our Product and Engineering teams, directly influencing the Fireworks.ai roadmap.
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Scale Expertise: Develop authoritative technical content (e.g., reference architectures, blogs, open-source tools) to educate the market and elevate the practice of high-performance AI deployment.
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Evangelism & Enablement: Represent Fireworks.ai as a technical expert at industry conferences, developer meetups, and strategic customer workshops. Produce technical content like workshops, webinars, and documentation to enable both customers and internal teams on advanced Fireworks capabilities and AI best practices.
Minimum Qualifications:
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Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
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7+ years in a customer-facing technical architecture role (Solutions Architect, Sales Engineer) with at least 3 years in a pre-sales or consulting capacity.
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Deep, hands-on expertise with the LLM stack: a strong understanding of inference optimization, fine-tuning methodologies (e.g., LoRA, QLoRA), and the engineering trade-offs in deploying large-scale models.
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Expertise in Python with experience building and debugging applications on API-based platforms.
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Exceptional communication and presentation skills, with the ability to articulate complex technical concepts to both engineers and C-level executives.
Preferred Qualifications:
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Master's or PhD in Computer Science, Machine Learning, or a related field.
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Proven experience designing and implementing AI/ML solutions in enterprise environments.
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Strong familiarity with cloud infrastructure (AWS, GCP, Azure), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform).
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A proven track record of influencing technical strategy and closing complex, multi-million dollar deals.
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A strong sense of ownership, a bias for action, and an unwavering commitment to technical excellence.
Why Fireworks AI?
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Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
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Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
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Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
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Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
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About Fireworks AI

Fireworks AI
Series AFireworks AI provides generative AI inference and fine-tuning platform for developers and enterprises. The company offers high-performance API services for running large language models and other generative AI workloads.
51-200
Employees
San Francisco
Headquarters
$1.2B
Valuation
Reviews
3.8
26 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
3.8
Career
4.0
Management
3.6
79%
Recommend to a Friend
Pros
Supportive team and management
Opportunity for career growth
Interesting projects and challenges
Cons
Internal communication could improve
Career progression could be clearer
Work-life balance varies by team
Interview Experience
43 interviews
Difficulty
3.1
/ 5
Duration
14-28 weeks
Offer Rate
41%
Experience
Positive 60%
Neutral 21%
Negative 19%
Interview Process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common Questions
Technical skills
Past experience
Team collaboration
Problem solving
News & Buzz
Fireworks AI Positions Open-Source Infrastructure as Low-Cost, Privacy-Focused Backbone for Personal AI Agents - TipRanks
Source: TipRanks
News
·
5w ago
This CEO left Meta and built a $4B AI startup by rejecting the one-size-fits-all approach - The Business Journals
Source: The Business Journals
News
·
8w ago
Fireworks, Metropolis and Hippocratic AI Lead Funding Rounds - PYMNTS.com
Source: PYMNTS.com
News
·
17w ago
Fireworks AI raises $250M at $4B valuation to help enterprises with AI inference workloads - SiliconANGLE
Source: SiliconANGLE
News
·
19w ago