Presales Engineer (AI Workload/ Cloud Infrastructure)

FlexAI; Santa Clara (CA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive Compensation

Performance-Based Incentives

Comprehensive Benefits

Work Flexibility

Career Growth & Learning Opportunities

Job summary

FlexAI is seeking a Presales Engineer to bridge the gap between advanced AI infrastructure solutions and customers. This role involves guiding AI workload deployments, optimizing models, and ensuring successful implementations across cloud and on-prem infrastructures. Join a team committed to innovation and shaping the future of AI.

Qualifications

• 5+ years in Presales, Solutions Engineering, or Technical Sales.
• Deep technical expertise in AI model training and GPU acceleration.
• Proven experience deploying AI workloads on AWS, Azure, GCP.

Responsibilities

• Lead technical discussions to design AI workloads for deployment.
• Conduct live product demos and technical deep dives.
• Own the end-to-end Proof of Concept process.

Skills

Customer-facing communication skills

Technical expertise in AI model training

Hands-on AI deployment experience

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

Terraform

CI/CD pipelines

Job description

Join FlexAI:

FlexAI is at the forefront of revolutionizing AI computing by reengineering infrastructure at the system level. Our groundbreaking architecture, combined with sophisticated software intelligence, abstraction, and an orchestration layer, allows developers to leverage a diverse array of compute, resulting in efficient, more reliable computing at a fraction of the cost.

We are seeking a skilled Presales Engineer to be the technical bridge between our cutting-edge AI infrastructure solutions and our customers. This role plays a crucial part in ensuring successful AI workload deployments, supporting both RTM1 (Partners - OEMs and Hyperscalers) and RTM2 (CSPs and Direct Enterprise Customers) by leading technical engagements, optimizing AI models, and driving Proof of Concept (PoC) success.

Founded by Brijesh Tripathi and Dali Kilani, who bring experience from Nvidia, Apple, Tesla, Intel, Lifen, and Zoox, FlexAI is not just building a product – we’re shaping the future of AI. Our teams are strategically distributed across Paris, Silicon Valley, and Bangalore, united by a shared mission: to deliver more compute with less complexity.

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:

As a Presales Engineer, you will play a critical role in guiding customers through AI workload deployment, fine-tuning, training, and inferencing across cloud and on-prem infrastructures. This role demands a strong blend of technical expertise, customer engagement skills, and hands-on AI deployment experience to ensure successful AI implementations at scale.

What you’ll do:

Solution Architecture & Customer Advisory

• Lead technical discussions with customers to design AI, ML, and HPC workloads for cloud and on-prem deployment.

• Guide clients on best practices for AI workload scaling, fine-tuning, and inferencing.

• Collaborate with Sales, Product, and Engineering teams to ensure seamless customer onboarding.

Technical Sales Enablement

• Conduct live product demos, technical deep dives, and workshops to showcase FlexAI’s capabilities.

• Work closely with account teams to develop customized AI infrastructure solutions.

• Act as a trusted advisor to customers, helping them optimize AI workloads for performance and cost-efficiency.

Proof of Concept (PoC) Execution

• Own the end-to-end PoC process, ensuring successful trials that demonstrate measurable value.

• Optimize GPU utilization, AI training pipelines, and inferencing performance based on customer needs.

• Document best practices and lessons learned from PoCs to enhance future implementations.

Collaboration & Continuous Improvement

• Provide real-time feedback to Product and Engineering teams on customer pain points and feature requests.

• Stay ahead of AI infrastructure trends, recommending innovations for scalability, efficiency, and cost reduction.

• Support cross-functional training for Sales, Customer Success, and Solution Architects.

What you’ll need to be successful:

Experience & Qualifications

• 5+ years in Presales, Solutions Engineering, or Technical Sales within AI, HPC, or Cloud Infrastructure.

• Deep technical expertise in AI model training, fine-tuning, and inferencing, with hands-on experience in GPU acceleration, Kubernetes, Terraform, and CI/CD pipelines.

• Proven experience deploying AI workloads on AWS, Azure, GCP, and hybrid on-prem environments.

• Strong customer-facing communication skills, with the ability to explain technical concepts to both executives and engineers.

Preferred Competencies

• Certifications in AWS Solutions Architect, Google Cloud ML Engineer, or Kubernetes (CKA) are a plus.

• Experience working with AI frameworks (TensorFlow, PyTorch, JAX, Triton Inference Server).

• Familiarity with high-performance computing (HPC), distributed AI training (Horovod, DeepSpeed, FSDP).

Key Deliverables in the First 90 Days

1. Conduct Initial PoCs – Successfully execute technical demonstrations and AI workload optimization trials.

2. Develop Customer Playbooks – Build presales technical documentation for guiding customers through AI deployment.

3. Optimize AI Performance – Implement improvements in AI model inferencing and training efficiency.

4. Align with Sales & Product Teams – Establish a strong feedback loop to enhance AI infrastructure solutions.

What we offer:

• Competitive Compensation - Base salary, with bonus and equity options.
• Performance-Based Incentives - Eligible for up to 15–20% performance-based bonus.
• Comprehensive Benefits
• Work Flexibility - Remote-friendly with occasional travel for customer engagements.
• Career Growth & Learning - Access to AI & cloud certifications, training programs, and industry conferences.
• Cutting-Edge Innovation: Work at the forefront of AI infrastructure, shaping the future of AI workloads.

Join Us in Redefining AI Infrastructure

Does this role excite you? If you thrive in high-impact presales roles, enjoy working with AI workloads, and want to help enterprises deploy scalable AI solutions, we’d love to hear from you. Apply today and be part of the AI revolution at FlexAI!

At FlexAI, we embrace diversity and are committed to creating an inclusive, innovative environment where everyone can thrive.

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.