Join FlexAI: 

FlexAI is redefining AI computing from the ground up. Our groundbreaking architecture- paired with advanced software intelligence, abstraction, and orchestration layers- enables developers to harness diverse compute resources for more efficient, reliable AI workloads at a fraction of the cost.

Founded by industry leaders from Nvidia, Apple, Tesla, Intel, Lifen, and Zoox, FlexAI operates across Paris, Silicon Valley, and Bangalore with a mission to deliver more compute with less complexity. If you’re passionate about transforming how AI is built, deployed, and scaled — while helping enterprises achieve real, sustainable impact — this is your next challenge.

If you're passionate about shaping the future of artificial intelligence, driving innovation, and contributing to a sustainable and inclusive AI ecosystem, FlexAI is the place for you !

Position Overview:

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.
 

What you’ll do:

Architect & Deliver AI Solutions for Customers

• 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.

Lead Thought Leadership & Community Engagement

• Publish whitepapers, blogs, and reference architectures.

• Represent FlexAI at major industry events, summits, and conferences.

• Advocate for sustainable, ethical, and high-impact AI adoption.

Drive Product Innovation

• 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

What you’ll need to be successful:

• 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.

Preferred Qualifications

• 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 we offer:

• A competitive salary and benefits package, tailored to recognize your dedication and contributions.
• The opportunity to collaborate with leading experts in AI and cloud computing, learning from the best and the brightest, fostering continuous growth.
• An environment that values innovation, collaboration, and mutual respect.
• Support for personal and professional development, empowering you with the tools and resources to elevate your skills and leave a lasting impact.
• A pivotal role in the AI revolution, shaping the technologies that power the innovations of tomorrow.
• Salary Band: $130K to $180K + OTE

Offices :

Our teams are strategically distributed across three continents—Europe, North America, and Asia—united by a shared mission: to deliver more compute with less complexity.

• Paris - HQ
• San Francisco (Bay Area) - US office
• Bangalore - India office

Apply NOW!

You’ve seen what this role entails. Now we want to hear from you! Does this opportunity align with your aspirations? If you’re even slightly curious, we encourage you to apply – it could be the start of something extraordinary!

At FlexAI, we believe diverse teams are the most innovative teams. We’re committed to creating an inclusive environment where everyone feels valued, and we proudly offer equal opportunities regardless of gender, sexual orientation, origin, disabilities, veteran status, or any other facets of your identity that make you uniquely you.