Senior Data & AI Engineer

Senior individual contributor role building and enabling AI/ML and automation solutions across DTNA in a hybrid Portland, OR environment.

Responsibilities

• Design, build, and deploy AI/ML, agentic, and automation solutions for high-impact, high-complexity business initiatives with business team co-development.
• Translate business objectives into working solutions and rapid proofs of concept, enabling business teams to own, enhance, and sustain what is built.
• Move promising prototypes into governed, production-ready solutions with IT, the Data Intelligence Hub (DIH), and business-embedded data teams.
• Apply engineering best practices including continuous integration and delivery pipelines, automated testing, and documentation.
• Create reusable solution patterns, including connecting business data to conversational AI tools so solutions proven once can scale across teams.
• Develop new ways of working with data, analytics, automation, and AI; share resulting best practices with teams across DTNA.
• Support CI colleagues by developing data, analytics, automation, and AI solutions for CI programs and advancing CI culture and adoption across DTNA.
• Serve as a technical reference for BDAT and across DTNA on AI engineering, data platforms, and best practices.
• Partner with IT and DIH to evaluate, pilot, and integrate tools and platforms enabling self-service analytics, automation, and AI, including:
  • Snowflake and Snowflake Cortex
  • Microsoft Copilot and Copilot Studio
  • LibreChat
  • Power Platform
  • GitHub
• Work hands-on on technical integration details such as data connections and APIs, access and governance, usage and cost transparency, and auditing of self-service environments.
• Stay current on emerging data and AI trends (including GenAI, agentic approaches, and automation), test hands-on, and recommend adoption timing for DTNA.
• Lead hands-on coaching and co-development engagements across business units using a teach others to build approach with tangible deliverables.
• Coach teams to apply data, analytics, automation, and AI in their own CI work.
• Provide technical consultation and innovative approaches to unique business challenges using data, analytics, automation, and AI.
• Mentor and develop junior team members and data community practitioners.
• Collaborate with senior leadership, IT, the AI Center of Excellence (AI CoE), and the enterprise data community (Hub for Analytic Collaboration) to advance a data- and AI-driven culture and promote self-service.
• Act as strategic and technical advisor to business units by recommending the right approach (AI/ML, automation, analytics, or BI) and knowing when a simpler solution is preferable.
• Identify new opportunities to apply data, analytics, and AI to strategic initiatives and challenge established ways of working.
• Foster and grow an engaged data and AI community through collaboration, knowledge sharing, and best practices.
• Participate in community events including the annual DT Week conference, workshops, and hackathons.

Requirements

• Bachelor's degree and 5+ years of relevant experience, or 8 years of relevant experience in lieu of a degree.
• Advanced proficiency in Python and SQL, including ability to write, review, test, and productionize code; ability to sanity-check AI-generated output.
• Demonstrated experience designing, building, and deploying AI/ML, automation, or data solutions beyond prototypes into production.
• Hands-on experience building with LLMs and agentic approaches (e.g., Snowflake Cortex, Microsoft Copilot Studio, LibreChat, or comparable platforms), including judgment on appropriate use and continuous learning habits.
• Strong grounding in machine learning and statistical methods.
• Hands-on experience with cloud data platforms (e.g., Snowflake), including data modeling and ETL, plus API integrations.
• Working knowledge of DevOps practices: version control (e.g., GitHub), automated testing, and CI/CD pipelines.
• Ability to coach and co-develop with teams at all levels and translate between business and technical audiences, including executives.

Technologies

• Python
• SQL
• AI/ML
• GenAI
• LLMs
• Agentic approaches
• Snowflake
• Snowflake Cortex
• Microsoft Copilot
• Microsoft Copilot Studio
• LibreChat
• Power Platform
• GitHub
• Power BI
• Tableau
• Alteryx
• ETL

Benefits

• Annual bonus program
• 401k company contribution with company match up to 6%
• Non-elective company contribution of 3-7% depending on age
• Starting at 4 weeks paid vacation
• 13+ calendar holidays
• 8 weeks paid parental leave
• Employee assistance program
• Comprehensive healthcare plans and wellness programs
• Onsite fitness (at some locations)
• Tuition assistance and volunteer paid time off
• Short-term and long-term disability plans

Additional Information

• Hybrid schedule: 4 days per week in-office / 1 day remote.
• No visa sponsorship for this position; applicants must be legally authorized to work permanently in the country of the position at the time of application.
• Final candidate must successfully complete a criminal background check.
• Final candidate may be required to complete a pre-employment drug screen.
• Contractors and other contingent workers should confirm eligibility to apply for FTE positions with their local agency.
• EEO - Disabled/Veterans.
• Relocation assistance is not available for this position.

Exceptional Candidates Might Have

• Master's degree in a quantitative field, or a Data Science certification or equivalent
• Experience with MLOps including model monitoring and maintenance
• Experience with governance, cost management, or usage transparency for cloud data and AI platforms
• Experience designing or delivering training and upskilling programs
• Familiarity with BI and automation tools (e.g., Power BI, Tableau, Alteryx, Power Platform)
• Experience scoping and leading time-boxed engagements, including managing scope, timelines, dependencies, and stakeholders
• Familiarity with continuous improvement principles and methodology, including standardization needs before building technical solutions
• Experience in manufacturing, automotive, or transportation industries
• Degree in Business, Mathematics, Computer Science, Statistics, Analytics, or a related quantitative field

Posting Information

• A scheduled posting end date is provided to assist candidates with application planning.
• End dates may change; postings may be extended or removed earlier than expected.

Location: Portland, OR (hybrid). Salary: USD 117,000 - 150,000 per year. Experience: 5+ years. Education: Bachelor's degree.