Principal AI Engineer

Sage is looking for an experienced Principal AI Engineer to build AI-powered solutions that accelerate and automate complex data migration into Sage products.

This is a senior, hands-on technical role for someone who can independently own substantial engineering initiatives, translate ambiguous problems into practical solutions, and take those solutions from concept through production.

This is a hybrid role, three days per week onsite in the San Jose office.

• Design and build AI/ML-powered solutions for migrating data from a variety of source systems into Sage products.
• Apply machine learning, data science, and modern AI techniques to problems including data transformation, mapping, classification, reconciliation, and validation.
• Own substantial technical projects end-to-end, from problem definition and architecture through implementation and production deployment.
• Independently drive solutions to complex and ambiguous technical problems.
• Build scalable, reliable production systems rather than prototypes alone.
• Contribute to the infrastructure and operational practices required to deploy, monitor, and maintain AI systems in production.
• Work closely with engineering, product, and domain experts to translate customer and implementation challenges into technical solutions.
• Help establish engineering patterns and best practices for applying AI across Sage's migration capabilities.
• Provide technical leadership and mentorship to other engineers.

• 10+ years of experience in data science, machine learning, AI, or closely related engineering disciplines.
• Bachelor's degree in Engineering, Computer Science, or a related technical field from a top-tier university.
• Graduate study or an advanced degree in AI, machine learning, data science, or a related technical field is desirable.
• Significant hands-on experience building and deploying applied data science and/or machine learning solutions.
• Strong software engineering skills and experience developing production-grade systems.
• Experience with AI/ML infrastructure, deployment, monitoring, or related AI Ops / MLOps practices is desirable.
• Demonstrated ability to independently own and deliver large, technically complex projects.
• Strong understanding of data pipelines, data transformation, and working with large or complex datasets.
• Experience applying modern AI technologies, including LLMs, to real-world business problems.
• Ability to operate effectively in a fast-moving environment with significant technical ambiguity.

Perks? We have plenty.

• Competitive salaries that landed us top 5% of similar sized companies (according to Comparably)
• Comprehensive health, dental and vision coverage
• 401(k) retirement match (100% matching up to 4%)
• 32 days paid time off (21 personal days, 10 national holidays, 1 floating holiday)
• 18 weeks paid parental leave for birth, adoption or surrogacy offered 1 year after start date
• 5 days paid yearly to volunteer (through Sage Foundation)
• $5,250 tuition reimbursement per calendar year starting 6 months after hire date
• Sage Wellness Rewards Program ($600 wellness credit and $360 fitness reimbursement annually)
• Library of on demand career development options and ongoing training offerings

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