Principal AI Engineer

Sage is looking for an experienced Principal AI Engineer to help design and build AI/ML-powered capabilities that accelerate and automate complex data migration into Sage products. This is a senior, hands-on role where you will own technical projects end-to-end, taking solutions from problem definition and architecture through production deployment.

Based in San Jose, CA, the position follows a hybrid schedule with three days per week onsite. The role is intended for someone with deep applied AI and software engineering experience, including the ability to handle ambiguous technical challenges and drive scalable production outcomes.

Responsibilities

• 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 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 for complex and ambiguous technical problems.
• Build scalable, reliable production systems rather than prototypes alone.
• Contribute to the infrastructure and operational practices needed to deploy, monitor, and maintain AI systems in production.
• Partner 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 migration capabilities.
• Provide technical leadership and mentorship to other engineers.

Requirements

• 10+ years of experience in data science, machine learning, AI, or closely related engineering disciplines.
• A 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 field is desirable.
• Significant hands-on experience building and deploying applied data science and/or machine learning solutions.
• Strong software engineering skills, with 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.

Technologies

• AI, AI/ML, machine learning, data science
• LLMs
• AI Ops / MLOps

Benefits

• Competitive salaries that landed Sage 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