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.
Qualifications
- 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
Dig deeper about who we are:
- Who is Sage: https://www.sage.com/en-us/company/about-sage/
- Life at Sage: https://www.sage.com/en-us/company/careers/
- Our Values & Behaviors: https://www.youtube.com/watch?app=desktop&v=vt5JXf-Gwno&feature=youtu.be
- How we make a difference: https://www.sage.com/en-us/company/sage-foundation/
- Sage Business Cloud - SaaS for Every Business: https://www.sage.com/en-us/products/
Product Delivery
United States
San Jose
Hybrid
Working at Sage means you’re supporting millions of small and mid-sized businesses globally with technology to work smarter and move faster. We build software that reduces busywork so customers can spend less time on admin and more time building their business.
Our colleagues are high-performers who prioritize growth, make bold choices, and focus and galvanize to get things done. They work on meaningful, market-shaping initiatives that stretch their skills, sharpen their craft, and create real customer impact.
Explore our culture and benefits: sage.com/careers/working-at-sage
We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, contact careers@sage.com .
Principal AI Engineer
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Equal Employment Opportunity (EEO)
Sage is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities.
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Sage will be based on merit, qualifications, and abilities. Sage does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, protected disability, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable law.