Senior AI Solutions Architect, FlexAI
$130-180k
Delivering universal AI compute
Posted today
Delivering universal AI compute
21-100 employees
Posted today
$130-180k
21-100 employees
Company mission
To empower builders everywhere to develop groundbreaking AI solutions with effortless access to universal AI compute
Role
Who you are
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
- 10+ years of experience in Presales, Solutions Engineering, or Technical Sales within AI, HPC, or Cloud Infrastructure
- Proven expertise in ML model development, deployment, and optimization
- Deep technical expertise in AI model training, fine-tuning, and inferencing, with hands-on experience in GPU acceleration, Kubernetes, Terraform, and CI/CD pipelines
- Excellent communication skills for engaging both technical teams and executive stakeholders
Desirable
- Master’s degree in a technical field
- Certifications such as AWS Certified DevOps Engineer, Google Cloud ML Engineer, or Kubernetes Administrator (CKA)
- Experience in big data management, scalable distributed systems, and AI infrastructure orchestration
- Proficiency with AI/ML frameworks, distributed model architectures (transformers, CNNs, LSTMs), and accelerators
- Track record of delivering large-scale AI/ML solutions in hybrid/multi-cloud environments
What the job involves
- We’re looking for a Senior AI Solutions Architect who can bridge cutting-edge AI technology with enterprise-scale business value
- This role combines strategic advisory with hands-on technical leadership, helping our customers architect, deploy, and optimize advanced AI workloads across hybrid and multi-cloud environments
- You’ll partner directly with C-suite executives, engineering teams, and developers at some of the most innovative enterprises and startups, guiding them through their AI transformation journey
- You’ll also act as a thought leader in the AI community, influencing FlexAI’s roadmap, and shaping industry best practices
- Design and implement enterprise-grade Generative AI and Machine Learning solutions for deploying models as well as training and fine-tuning foundational models
- Understand Customer Profiles, workloads, compliance needs and help identify bottlenecks, and implement optimizations
- Deploy infrastructure across hyperscaler, neoclouds (AWS, Azure, GCP, Sesterce etc) and on-prem environments, optimizing for cost-performance trade-offs
- Help customers maximize utilization of AI accelerators across multiple architectures (NVIDIA, AMD, Tenstorrent, AI Accelerators)
- Optimize workloads using frameworks such as PyTorch, TensorFlow, JAX, Ray, Hugging Face, Triton etc
- Understanding of automated deployments with Kubernetes, Terraform, Helm, Docker, and CI/CD workflows
- Act as a trusted technical advisor to executives, IT leaders, and engineering teams
- Translate complex AI architectures into clear business outcomes
- Lead workshops, deep dives, and architectural discussions to accelerate adoption
- Lead prospecting and acquisition of new logos, create and build customer relationships from scratch, and establish yourself as a trusted advisor on their long-term technology and business decisions
- Publish whitepapers, blogs, and reference architectures
- Represent FlexAI at major industry events, summits, and conferences
- Advocate for sustainable, ethical, and high-impact AI adoption
- Gather customer feedback to shape FlexAI’s platform and AI/ML service roadmap
- Collaborate with engineering to influence new features and performance optimizations
- Collaborate with sales, marketing and product to define technical blue prints and case studies.S
Application process
- We usually respond within a day
Our take
With a vision to contribute to the AI revolution, FlexAI delivers a layer of software intelligence, abstraction and orchestration into the AI compute stack. By rearchitecting existing architecture, it is creating accessible, universal AI compute to support the future of machine intelligence.
The idea is to combat the existing challenges with running AI workloads across diverse hardware. By doing this, FlexAI will enable AI developers to leverage a broader range of computing power without needing to modify their code.
FlexAI only came out of stealth in 2024, so we've yet to see much of what it has to offer, but its proposition has attracted a hefty seed investment. This will support the company as it moves forwards with the launch of its first product and towards its ultimate goal to empower AI acceleration.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Apr 2024
$30m
SEED
Total funding: $30m
Company benefits
- A chance to work alongside pioneers in AI and cloud computing, learning from the best and brightest
- An environment that values innovation, collaboration, and respect in every interaction
- Opportunities for personal and professional growth, encouraging you to stretch your abilities and make a lasting impact
- A platform to contribute significantly to the AI revolution, shaping the cloud services that power tomorrow's innovations
Company HQ
Vivienne, Paris, France
Leadership
Brijesh Tripathi
(Founder & CEO)Spent 4 years at Intel Corporation; first as VP and CTO of the Client Computing Group, then VP of AXG. Was VP pf Hardware Engineering at Zoox, co-founded SmartLivez and worked in Engineering at Tesla, Apple and NVIDIA.
Dali Kilani
(Co-Founder & CTO)Angel Investor, who is also a Board Member at Epigene Labs and Go My Code. Previously they were an Advisor for ProsperUs, CTO at Lifen and Cloud/Devops Architect for The Boston Consulting Group.
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