Technical Fellow, Artificial Intelligence (AI) and Machine Learning (ML)

$225,000 - $275,000/Yr

Acumatica - Bellevue, WA

Full-time - Senior

Bellevue, WA

Professional, Scientific, and Technical Services

About the position

The Technical Fellow, Artificial Intelligence (AI) and Machine Learning (ML) at Acumatica is a pivotal role focused on driving the AI and ML strategy within the organization. This position requires a deep understanding of AI and ML technologies and their application to enhance business operations for both internal teams and external partners. The Technical Fellow will lead the development and implementation of AI-driven solutions, ensuring alignment with company goals and providing thought leadership to a team of AI professionals.

Responsibilities

• Actuate and present comprehensive ML & AI strategy proposals to company leadership, articulating the value, potential impact, and roadmap for implementation.
• Define and drive company-wide AI governance, policies, and guidelines.
• Collaborate with the product and engineering teams to ensure the translation of AI strategies into detailed specifications and actionable roadmaps with measurable impact.
• Provide thought leadership to a team of AI professionals, setting clear goals, and leading the team to achieve breakthrough results in the development and deployment of AI-driven solutions.
• Regularly report to the executive team and key stakeholders on actionable AI initiatives, providing insights into progress, timelines, and expected returns.
• Conduct market analysis to stay on top of ML & AI trends and competitors, leveraging insights to guide strategic decisions.
• Drive partnerships and collaborations that enhance Acumatica's AI capabilities and market positioning.

Requirements

• Bachelor's degree in engineering (Computer Science, Electrical Engineering, Applied Physics, Mechanical Engineering, Applied Mathematics, or related fields). An advanced degree (MS or PhD) in Artificial Intelligence, Machine Learning, or related field is highly preferred.
• Minimum of 5 years experience in leading enterprise machine learning or AI teams, preferably within a SaaS or cloud computing environment.
• Proven track record in developing and implementing successful ML & AI solutions in a business context.
• Strong technical acumen, with the ability to translate complex ML & AI concepts into actionable business items.
• Exceptional leadership skills, with experience in nurturing talent and guiding teams to achieve ambitious goals.
• Understanding of the SaaS business model, market dynamics, and how ML & AI can be leveraged to create competitive advantages.

Nice-to-haves

• Experience in partnerships, mergers & acquisitions, particularly in the ML & AI domain.

Benefits

• Healthcare benefits (Medical- one plan 100% ER paid)
• Dental and vision insurance for you and your dependents
• Employer-paid Short-term/Long-term Disability and Basic life insurance
• 401(k) plan and company match
• 15 days of PTO (paid time off)
• 5 sick days
• 9 paid holidays
• 3 Floating Holidays
• Paid Parental leave