New AI Agent Engineer Dataiku and Snowflake Cortex at 3Core Systems, Inc in Chicago, Illinois, United States
- Company: 3Core Systems, Inc
- Location: Chicago, Illinois, United States
- Posted: Sep 18, 2026
- Type: Contract
- Experience: 7+ years
Overview
Job Title: AI Agent Engineer Dataiku and Snowflake Cortex Job Location: Irving, TX, 75038, USA Estimated Duration (In Months): 13 Must Have Skills/Attributes: AWS, Python, Snowflake Experience Desired: Built agents in Dataiku & Snowflake Cortex (5 yrs); Workflow automation in Dataiku recipes & Pytho…
Job description
- Job Title: AI Agent Engineer Dataiku and Snowflake Cortex
- Job Location: Irving, TX, 75038, USA
- Estimated Duration (In Months): 13
- 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
Responsibilities
- • 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 (write programming logic)
- • Apply multi-agent architecture and orchestration patterns (agent collaboration, planning, delegation, workflow orchestration)
- • Develop reusable agent frameworks and reference architectures
- • Implement security, access control, and governance (RBAC, personas, authorization models, guardrails)
- • Ensure auditability and compliance considerations
- • Build 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/online evaluation, groundedness, relevance, hallucination detection, task success measurement)
- • 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 (deployment automation, monitoring, governance)
- • Perform cost and performance optimization (LLM selection, latency, token consumption, 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 statistical models
- • Apply related digital technologies in processing both inputs and outputs from models
- • Participate in daily standup meetings
- • Collaborate on a project with 3 other people (including project leader)
Requirements
- 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, Predictive Analytics, Statistics
- • Master's or PhD also acceptable
- • 5–7 years of professional experience
- • 2+ years of experience applying Python (NumPy, SciPy, pandas, etc.) to solve business challenges
- • Experience with cloud technologies (AWS, Azure, Google Cloud, etc.)
- • Built agents in Dataiku & Snowflake Cortex (structured data) — critical
- • Workflow automation in Dataiku recipes & Python (writing programming logic)
- • Experience with LangGraph, Langchain, CrewAI
- • 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, authorization models, guardrails)
- • Auditability and compliance considerations
- • Enterprise integrations (Microsoft Teams, SharePoint, email, PDFs, enterprise data 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 performance tracking
- • Prompt engineering and agent design patterns (prompt optimization, reusable prompts, skills, tools, agent design frameworks)
- • Human-in-the-loop workflows (approval processes, escalation paths, feedback loops, continuous improvement)
- • Dataiku application development and UX (Dataiku WebApps, production-ready front-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, hypothesis testing, ANOVA, statistical process control) (desired)
- • Machine learning techniques (Clustering, Logistic Regression, CART, Random Forests, SVM, Neural Networks) (desired)
- • Design/development of heavy equipment (automotive, aerospace, engine, transmission, construction, mining, industrial) (desired)
- • 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
Skills
Required
- AWS
- Python
- Snowflake
- Dataiku
- Snowflake Cortex
- LangGraph
- Langchain
- CrewAI
- Human-in-the-loop workflows
- Dataiku application development and UX
- Cost and performance optimization
- Team player
Preferred
- Good communication skills