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Principal AI Engineer
Hackajob
2 hours ago
Full-time
On-site
San Jose, California, United States
Senior AI Engineer
Sage is looking for an experienced Senior 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
Sage is looking for an experienced Senior 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