Senior AI Platform Solutions Engineer - Kubernetes & Scale

Motion Recruitment

California

Hybrid

USD 120,000 - 170,000

Full time

14 days+

Get a reply from this recruiter

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off

Job summary

Motion Recruitment Partners LLC is seeking a Solutions Engineer – AI Platform in California. You will bridge enterprise engineering teams and sales, shaping platform abstraction at scale and leading technical discovery.

Expect collaboration with executives to drive complex deployment strategies across multi-vendor environments. The role emphasizes Kubernetes orchestration, PoC design, and cross-team engagement to accelerate high-performance compute initiatives.

Qualifications

  • 5+ years in pre-sales engineering or solutions architecture.
  • Deep mastery of containerization/orchestration at scale (Kubernetes).
  • Experience with PoCs and architecture design sessions.
  • Strong communication to senior engineers and C-level decision-makers.

Responsibilities

  • Lead customer architecture sessions, demos and technical qualification.
  • Scope solutions, design PoCs and RFPs for enterprise accounts.
  • Collaborate with product and sales teams to align on customer needs and feedback.
  • Provide platform telemetry, storage integrations and network interface insights.

Skills

Kubernetes at scale
Distributed systems
PoCs & architecture
Executive communication
Pre-sales collaboration

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Python
Go
Bash
Terraform
Helm

Job description

Job Description

We are seeking aSolutions Engineer – AI Platformfor aFull-Timerole based in California. Our client is a well-capitalized, high-growth enterprise infrastructure and compute platform provider engineering large-scale, multi-vendor accelerator environments. Their core software platform focuses on orchestration, distributed cluster management, platform abstraction, and high-efficiency workload scaling to optimize high-performance compute resources for enterprise teams.

This is an exceptional ground-floor opportunity to join an expanding commercial team as the primary technical bridge between complex infrastructure orchestration and enterprise engineering teams. The #1 feature of this opportunity isthe chance to shape platform abstraction at immense physical scale: you will work directly alongside sales leadership to engage enterprise platform architects, lead technical discovery, and demonstrate how modern orchestration simplifies large-scale accelerated computing. We are looking for an adaptable, customer-facing platform technologist with strong Kubernetes and distributed systems fundamentals who aspires to grow into technical leadership. You will join a culture built on technical excellence, mutual trust, continuous skill development, and sustainable work-life balance.

Required Skills & Experience

· 5+ years of experience in pre-sales engineering, solutions architecture, or customer-facing platform/systems engineering.
· Deep technical mastery of containerization and orchestration at scale, specifically enterprise Kubernetes (K8s) and high-performance scheduler integrations.
· Hands-on architectural experience with large-scale accelerator infrastructure, multi-node clustering, and workload abstraction across diverse hardware environments.
· Familiarity with distributed storage integrations, cluster telemetry, and low-latency networking concepts supporting compute-intensive platforms.
· Proven ability to co-own commercial opportunities with enterprise account executives, leading technical qualification, proofs-of-concept (PoCs), and architecture design sessions.
· Strong verbal and written communication skills with the ability to articulate architectural trade-offs to senior engineering leaders and C-level decision-makers.

Desired Skills & Experience

· Experience with platform tooling across multi-tenant enterprise environments, MLOps orchestration stacks, or high-performance schedulers (e.g., Slurm, Ray, Kubernetes operators).
· Prior background at enterprise software companies, cloud-native infrastructure providers, or specialized cloud environments.
· Hands-on scripting and automation capability (Python, Go, Bash, Terraform, or Helm).
· Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related technical field, or equivalent practical experience.

What You Will Be Doing

Tech Breakdown
· 40% Kubernetes & Large-Scale Cluster Orchestration
· 35% Accelerator Infrastructure Abstraction & Multi-Node Compute
· 25% Platform Telemetry, Storage Integrations & Network Interfaces

Daily Responsibilities
· 45% Customer Architecture Sessions, Demos & Technical Qualification
· 35% Hands-On Solution Scoping, PoC Design & RFP Authoring
· 20% Team Collaboration & Product Feedback Alignment

The Offer

• Commission eligible

You will receive the following benefits:
· Medical Insurance
· Dental Benefits
· Vision Benefits
· Paid Time Off (PTO)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior Platform Engineer, AI Scale & Cloud Foundations
Senior Platform Engineer, AI Scale & Cloud Foundations

Scale AI, Inc. • San Francisco (CA)

On-site
USD 216,000 - 270,000
Equity
Health, dental & vision
Retirement benefits
+3
Principal / Senior Solutions Engineer – Mid-Stack & AI Platform
Principal / Senior Solutions Engineer – Mid-Stack & AI Platform

Motion Recruitment • California

On-site
USD 120,000 - 170,000
Medical Insurance
Dental Benefits
Vision Benefits
+1
Senior AI Solutions Architect - Cloud & Kubernetes
Senior AI Solutions Architect - Cloud & Kubernetes

PowerToFly • Austin (TX)

Hybrid
USD 111,000 - 172,000
Principal AI Platform Engineer — Cloud, Kubernetes & GitOps
Principal AI Platform Engineer — Cloud, Kubernetes & GitOps

True Talent Solutions Partners • Mountain View (CA)

Hybrid
USD 280,000 - 350,000
Visa sponsorship
Platform Engineer: AI-Scale Cloud Infra
Platform Engineer: AI-Scale Cloud Infra

Scale AI • San Francisco (CA)

On-site
USD 180,000 - 225,000
Health, dental and vision coverage
Retirement benefits
Learning and development stipend
+3
Real-Time AI Platform Engineer & Architect
Real-Time AI Platform Engineer & Architect

Machine Learning Technologies, LLC • Concord (CA)

On-site
USD 83,000 - 113,000
Staff Platform Engineer — Cloud & Kubernetes with AI Tools
Staff Platform Engineer — Cloud & Kubernetes with AI Tools

AlphaSense • Oregon

Hybrid
USD 223,000 - 305,000
Equity
Generous benefits program
Forward-Deployed AI Platform Engineer
Forward-Deployed AI Platform Engineer

Speedrun Talent Network • San Francisco (CA)

On-site
USD 190,000 - 270,000
Senior Solutions Engineer - Kubernetes & AI Strategy
Senior Solutions Engineer - Kubernetes & AI Strategy

vCluster Labs • United States

Hybrid
USD 140,000 - 190,000
Competitive salary and equity
Platinum health, dental, vision, and生命
Flexible working schedule
Senior DevOps Engineer - AI Tools & Platform at Scale
Senior DevOps Engineer - AI Tools & Platform at Scale

present of AI • San Francisco (CA)

On-site
USD 180,000 - 240,000