Senior AI Solutions Architect

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.

<