Principal AI Engineer

Archer; San Jose (CA); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Competitive salaries

Comprehensive health coverage

401(k) retirement match

Paid time off

Parental leave

Tuition reimbursement

Wellness rewards

Career development

Job summary

Sage, in collaboration with Archer, seeks a Senior AI Engineer to design and deliver AI-powered data migration solutions. You will own end-to-end projects, leveraging ML for data transformation, mapping, and validation, and drive production-grade AI systems in a fast-moving environment.

The role requires 10+ years in data science/AI, strong software engineering, and hands-on experience deploying AI/ML in production. Hybrid work model in San Jose with on-site three days per week.

Qualifications

• 10+ years of experience in data science, machine learning, AI, or closely related engineering disciplines.
• 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.

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 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.

Skills

Data science

ML/AI

Software engineering

Leadership

Mentoring

Education

Bachelor's degree in Engineering/CS

Tools

AI/ML infrastructure

MLOps

Job description

Archer is collaborating with Sage to connect them with exceptional professionals for this role.

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

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/