At Wasabi, we’re a proven collection of pioneers, visionaries and disruptive doers. We see things differently than our competitors, and we make our mark in the industry by challenging the norm and delivering the unexpected and improbable. We’re a fast-growing company taking the Cloud Storage industry by storm and recognized as one of the best places to work in Boston.
Wasabi hot cloud storage is a new class and category of cloud storage, breaking all traditional barriers and boundaries of storage with a disruptive value proposition of being 1/5th the cost of AWS S3, faster than the competition, with no fees for egress or API requests. Cloud storage has never been so simple, so fast and so inexpensive. It’s all part of our vision to make cloud storage the next great global utility, just like electricity.
Sr. Enterprise AI Engineer
United States of America
At Wasabi, we’re a proven collection of pioneers, visionaries and disruptive doers. We see things differently than our competitors, and we make our mark in the industry by challenging the norm and delivering the unexpected and improbable. We’re a fast-growing company taking the Cloud Storage industry by storm and recognized as one of the best places to work in Boston.
Wasabi hot cloud storage is a new class and category of cloud storage, breaking all traditional barriers and boundaries of storage with a disruptive value proposition of being dramatically lower cost than legacy hyperscalers, faster than the competition, with no fees for egress or API requests. Cloud storage has never been so simple, so fast and so inexpensive. It’s all part of our vision to make cloud storage the next great global utility, just like electricity.
Role Description: Enterprise AI Engineer .
*Principals only. No recruiters.
Role Purpose:
Wasabi is seeking an AI Engineer to help build and scale our Enterprise AI Platform. This platform will be the foundation that enables AI assistants, agents, and AI-powered applications across Wasabi’s business functions. In this role, you’ll be a hands-on engineer who can translate business needs into concrete AI solution designs, implement core platform and application components, and drive solutions into production with measurable impact.
You’ll operate at the intersection of AI innovation, software engineering, and business operations. You will partner closely with stakeholders across Sales, Marketing, Finance, HR, Legal, Customer Support, and IT to deliver secure, reliable, and scalable AI capabilities that elevate productivity and decision-making across the company.
Responsibilities:
- Design and implement AI-powered solutions (assistants, agents, and apps) that solve business problems across enterprise functions.
- Build platform capabilities for modern AI workloads, including retrieval-augmented generation (RAG), agent orchestration, evaluation, and production inference services.
- Implement scalable services that support low-latency, high-throughput AI applications, while meeting reliability, security, and cost objectives.
- Develop reusable patterns, libraries, and best practices that enable teams to safely and efficiently build on the Enterprise AI Platform.
- Support rapid experimentation (POCs), evaluate emerging AI tools/frameworks, and help evolve platform architecture to incorporate successful innovations into production.
- Contribute to MLOps pipelines (training, fine-tuning, versioning, deployment, monitoring, drift detection) to streamline the model lifecycle.
- Help define and implement automated testing strategies for AI solutions (quality, safety, regression, hallucination checks, latency, and robustness).
- Partner with Data/Analytics, Security, IT, and Engineering teams to ensure strong data governance, privacy protections, and responsible AI practices.
- Contribute to team engineering excellence through code reviews, documentation, and knowledge-sharing.
Requirements:
- 5+ years of experience in software engineering or applied AI/ML engineering, with experience building production services.
- Demonstrated ability to design and deliver AI/ML-powered applications and/or platform capabilities in real-world environments.
- Solid understanding of core AI concepts and modern Generative AI patterns (RAG, prompt engineering, evaluation, agentic workflows).
- Experience with the AI lifecycle: data pipelines, training/fine-tuning (where applicable), evaluation, deployment, and monitoring.
- Proficiency in one or more of: Python, Go, Java, or similar languages with strong fundamentals in APIs, reliability, observability, and performance.
- Experience with modern AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX) and cloud AI/ML platforms (AWS, GCP, Azure).
- Strong communication skills and the ability to work effectively with technical and non-technical stakeholders.
Nice to have:
- BS in CS/ML or related field, or equivalent practical experience.
- Experience with security and privacy controls for AI systems (PII handling, access control, guardrails, auditability).
- Experience working with distributed systems and large-scale data platforms.
Base Salary – $160,000 - $200,000
The base salary range reflects the full range for this position at Wasabi Technologies. At Wasabi, we believe in paying fairly and competitively, and individual compensation is determined based on factors such as job-related experience, skills, location, and internal equity. Base pay is just one part of our total rewards approach. Depending on role eligibility, Wasabi team members may also receive additional compensation and benefits, including bonus or variable compensation, equity, and a comprehensive benefits package designed to support both professional growth and personal well-being.
Wasabi Technologies is an Equal Opportunity Employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
Top Skills
What the Team is Saying
What We Do
Recognized as one of the technology industry’s fastest growing companies, Wasabi is on a mission to store the world's data by making cloud storage affordable, predictable and secure. With Wasabi, visionary companies gain the freedom to use their data whenever they like without being hit with unpredictable fees or vendor lock-in. Instead, they’re free to build best-of-breed solutions with the industry’s fastest-growing ecosystem of independent cloud application partners. Customers and partners all over the world trust Wasabi to help them put their data to work so they can unlock their full potential.
In September 2022, Wasabi achieved unicorn status following $250M in funding. To date, Wasabi has raised over $500M at a $1.1B valuation.
As leaders in our community, Wasabi strives to always inspire by example and give to those who are most in need. We team up with our partners in a purposeful way to create corporate social responsibility initiatives that will make a true impact in a way that is authentic to who we are. Our community engagement programs include Veteran Support like the Run to Home Base, Female Empowerment, Educational Opportunities, Non-Profit Storage Donations, and more. We also created a unique music and arts CSR program to bring the power of music and the arts to those who need it worldwide. The Red Hot Beats program launched with our partners at the Liverpool Football Club Foundation promotes mental health and wellness through music therapy for young people in the Liverpool area. Meanwhile our founding partnership of the MGM Music Hall at Fenway supports arts access, education, and opportunity for students and emerging artists in New England.
Why Work With Us
At Wasabi, we know that product alone does not make a company. We empower our employees to thrive by prioritizing their personal lives and showing trust in their abilities, and as a result, they bring remarkable energy and enthusiasm to their careers at Wasabi.
We have team members from every corner of the globe, including the US, Europe, & Asia.
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Wasabi Technologies Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Wasabi has a full remote work policy. However it maintains its corporate office and encourages employees to use it when they need to.
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