AI EngineerCountryUnited States of America
State / County Oregon
City Clackamas
Division Structurals
Company SSBO
Function Engineering
Workplace Type On-Site
Position type Full Time
Opportunity ID 24724
Job Description The AI Engineer is responsible for designing, developing, and deploying AI-driven workflows and applications to address complex business and engineering problems. The role will primarily leverage Databricks Apps and the PCC data platform, using common Python or Node.JS frameworks such as Streamlit, Dash, and Gradio. This role combines strong software engineering fundamentals with hands-on AI/ML expertise helping teams build intelligent systems that streamline operations, automate analysis, and enhance decision-making. You will collaborate with data scientists, analysts, production teams, engineering, and business leaders to take AI solutions from early concepts and prototypes through production deployment and measurable business outcomes. This is a hands-on role from someone who understands how AI systems behave, fail and how to engineer reliable solutions.
Primary Duties and Responsibilities - Design and build AI-powered workflows ("AI Agents") and apps using Databricks.
- Build AI agents and intelligent workflows that reason, use tools, interact with enterprise applications and data, and execute complex multi-step processes with appropriate human oversight.
- Translate business requirements into technical designs, user stories, and functional specifications for assigned workstream. Shape how models learn, reason, and perform with real world business input.
- Evaluate data patterns and system behavior to inform solution improvements and implementation decisions.
- Evaluate and select models and solution approaches based on quality, reliability, latency, cost, security, scalability, and business requirements, and develop systematic evaluation cases to measure solution performance.
- Integrate APIs, model endpoints, and data services into user-facing tools and operational systems.
- Write, review and refining code in collaboration with data scientists to productionize models and embed them into functional business apps.
- Ensure performance, reliability, and scalability of AI workflows in cloud environments.
- Contribute to enterprise AI governance and compliance frameworks (e.g., model lineage, permissions, auditability)
Experience and Education - 2+ years' experience in software development, application engineering, or full-stack development
- Bachelor's or Master's degree in computer science, software engineering, or a related field (or equivalent experience)
- Preferred experience building web-based or data-driven applications in cloud environments (AWS, Azure, or GCP)
- Experience integrating APIs and developing UI/UX for data and AI-enabled tools
- Preferred certifications: AWS Developer Associate, or Azure App Developer
Required Skills- Proficiency in Python and Javascript
- Proficiency building applications using common Python or Node.js frameworks (Streamlit, Dash, Gradio, Shiny, Flask, React, Angular, etc.)
- Familiarity with AI/ML concepts and ability to integrate model outputs into apps or workflows
- Prefer AWS AI/ML experience such as Bedrock and SageMaker and/or Azure tools like Azure Cognitive Services/Foundry
- Prefer experience developing Databricks Apps or similar modular, cloud-hosted applications
- Strong understanding of RESTful APIs, microservices, and event-driven architectures
- Proficiency with CI/CD pipelines, Git, and agile software delivery
- Familiarity with ETL pipelines and data modeling frameworks
- Experience with SQL and cloud databases (e.g., Snowflake, Redshift, or Databricks SQL)
- Strong focus on usability, code quality, and maintainability
- Good understand of data algorithms, data structures, and performance tuning.
- Excellent collaboration and communication skills, with a proactive, product-focused mindset
Travel- Occasional travel to support sites, attend team meetings, and for training.
