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 that requires a deep understanding of AI and ML technologies and their application within the organization and for its partners and customers. This position is responsible for driving the AI and ML strategy that will significantly impact organizational transformation through the adoption of these technologies. The Technical Fellow will report directly to the Chief Technology Officer (CTO) and will be instrumental in shaping the future of AI and ML initiatives at Acumatica. In this role, the Technical Fellow will be tasked with actuating and presenting comprehensive ML and AI strategy proposals to company leadership. This involves articulating the value, potential impact, and roadmap for implementation, ensuring that there is a clear cross-company path to strategy, tactics, activities, timeline, budget, ownership, and impact. The Technical Fellow will also define and drive company-wide AI governance, policies, and guidelines, ensuring that all AI initiatives align with the company's overall objectives. Collaboration is key in this role, as the Technical Fellow will work closely with product and engineering teams to translate AI strategies into detailed specifications and actionable roadmaps with measurable impact. Providing thought leadership to a team of AI professionals is another critical aspect of this position, where the Technical Fellow will set clear goals and lead the team to achieve breakthrough results in the development and deployment of AI-driven solutions. Regular reporting to the executive team and key stakeholders on actionable AI initiatives will be required, providing insights into progress, timelines, and expected returns. Additionally, the Technical Fellow will conduct market analysis to stay abreast of ML and AI trends and competitors, leveraging these insights to guide strategic decisions. Driving partnerships and collaborations that enhance Acumatica's AI capabilities and market positioning will also be a significant responsibility.

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