New AI Agent Engineer Dataiku and Snowflake Cortex
Chicago, United States | Posted on 09/17/2026
Job Title: AI Agent Engineer Dataiku andSnowflake Cortex
Job Location: Irving, TX, 75038, USA
Must Have Skills/Attributes: AWS, Python,Snowflake
Experience Desired: Built agents in Dataiku& Snowflake Cortex (5 yrs); Workflow automation in Dataiku recipes &Python (5 yrs); Experience with LangGraph, Langchain, CrewAI (5 yrs)
Required Minimum Education: Bachelor’s Degree
Job Description
Education
- Bachelor's degree in AI, Data Science, or Computer Science (required)
- Internships accepted as job experience
- Acceptable equivalent technical degrees: Applied Statistics, Data Science,Business Analytics, Business Intelligence & Analytics, Computer Science,Computer Science + X, Engineering (Aerospace, Electrical, Mechanical, Computer,Industrial, Agricultural, etc.), Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, PredictiveAnalytics, Statistics
- Master's or PhD also acceptable
Experience
- 5–7 years of professional experience
- 2+ years of experience applying Python (NumPy, SciPy, pandas, etc.) to solvebusiness challenges
- Experience with cloud technologies (AWS, Azure, Google Cloud, etc.)
Top 3 Critical Skills
- Built agents in Dataiku & Snowflake Cortex (structured data) — critical
- Workflow automation in Dataiku recipes & Python (writing programminglogic)
- Experience with LangGraph, Langchain, CrewAI
Technical Requirements
- Multi-agent architecture and orchestration patterns (agent collaboration,planning, delegation, workflow orchestration)
- Reusable agent frameworks and reference architectures
- Security, access control, and governance (RBAC, personas, authorizationmodels, guardrails)
- Auditability and compliance considerations
- Enterprise integrations (Microsoft Teams, SharePoint, email, PDFs, enterprisedata sources)
- Event-driven and batch processing architectures
- API and workflow integration best practices
- Agent evaluation, testing, and observability (offline/online evaluation,groundedness, relevance, hallucination detection, task success measurement)
- Automated regression testing, monitoring, observability, and performancetracking
- Prompt engineering and agent design patterns (prompt optimization, reusableprompts, skills, tools, agent design frameworks)
- Human-in-the-loop workflows (approval processes, escalation paths, feedbackloops, continuous improvement)
- Dataiku application development and UX (Dataiku WebApps, production-readyfront-end development, enterprise adoption best practices)
- Deployment, operationalization, and scalability (deployment automation,monitoring, governance)
- Cost and performance optimization (LLM selection, latency, token consumption,operational cost management, performance tuning)
- MCP experience in multi-agent systems for Agent-to-Agent communication (desired)
- Advanced data analysis and statistical methods (regression, hypothesistesting, ANOVA, statistical process control) (desired)
- Machine learning techniques (Clustering, Logistic Regression, CART, RandomForests, SVM, Neural Networks) (desired)
- Design/development of heavy equipment (automotive, aerospace, engine,transmission, construction, mining, industrial) (desired)
Soft Skills
- Team player (required)
- Good communication skills (desired)
- Strong initiative
- Interpersonal skills
- Ability to communicate effectively
- Planning and organization skills
- Teamwork
- Decision-making skills
- Strong concern for customers
- Strong focus on continual learning in the Analytics field
- Strong initiative to research and apply new methods and digital technologies
Job Responsibilities — Data Scientist 3 (Caterpillar Inc.)
- Understand the objective (of the assigned project/use case)
- Write code in Snowflake & Dataiku to build AI Agents
- Test output and update code
- Build AI Agents in Dataiku & Snowflake Cortex using structured data
- Use AI Agents to create alerts and automate workflows
- Perform workflow automation in Dataiku recipes & Python (writeprogramming logic)
- Apply multi-agent architecture and orchestration patterns (agentcollaboration, planning, delegation, workflow orchestration)
- Development reusable agent frameworks and reference architectures
- Implement security, access control, and governance (RBAC, personas,authorization models, guardrails)
- Ensure auditability and compliance considerations
- Create enterprise integrations and data access patterns (Microsoft Teams,SharePoint, email, PDFs, enterprise data sources)
- Work with event-driven and batch processing architectures
- Apply API and workflow integration best practices
- Conduct agent evaluation, testing, and observability (offline/onlineevaluation, groundedness, relevance, hallucination detection, task successmeasurement)
- Perform automated regression testing, monitoring, observability, and performance tracking
- Apply prompt engineering and agent design patterns (prompt optimization,reusable prompts, skills, tools, agent design frameworks)
- Design human-in-the-loop workflows (approval processes, escalation paths,feedback loops, continuous improvement mechanisms)
- Develop Dataiku applications and user experience (Dataiku WebApps,production-ready front-end development, enterprise adoption best practices)
- Handle deployment, operationalization, and scalability (deploymentautomation, monitoring, governance)
- Perform cost and performance optimization (LLM selection, latency, tokenconsumption, operational cost management, performance tuning)
- Upskill the current team in the latest Dataiku Agentic AI technology
- Share knowledge and teach this new technology to team members
- Establish best practices reusable across multiple AI programs and use cases
- Apply theory and concept in contributing to solutions in the assigned area
- Perform data collection and analysis
- Conduct development, validation, application, and refinement of statisticalmodels
- Apply related digital technologies in processing both inputs and outputs frommodels
- Participate in daily standup meetings
- Collaborate on a project with 3 other people (including project leader)
Disqualifiers / Red Flags / Overqualifications
- Remote work
- No past or additional job titles/roles that would provide comparablebackground