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(1113180) Senior AI Agent Engineer
What the posting is about
Develop AI Agents using Dataiku and Snowflake to automate workflows and identify supply chain disruptions. Share knowledge and upskill team members on Dataiku Agentic AI technology. Collaborate with team to establish best practices for agent architecture, orchestration, and operationalization.
Read out of the posting
Levelmid
Experience asked5+ years
EmploymentFull time
LocationDallas, Texas, United States
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-16
Found viaworkable, direct from their system
We saw it 14 days after it went up.
The posting, as the company wrote it
Employment: Full-time
Experience: Mid-Senior level
Education: Bachelor's Degree
Diversified Services Network, Inc. (DSN) is seeking a full-time Senior AI Agent Engineer to join our onsite team in your choice of our Morton, IL or Dallas, TX office locations. We offer full benefits, PTO, 401k, and more! If you're looking to grow your career within an extremely reputable, stable Fortune 100 company – let's talk!
Position Overview
As AI continues to evolve, this role requires the ability to quickly learn new technology and build AI Agents to create alerts and automate workflows. The majority of the organization's structured data resides in Snowflake, and this position will apply AI to identify supply chain disruptions and drive corrective action to prevent backorders on parts.
This role will focus on strengthening capabilities in agent architecture, orchestration, security, integrations, evaluation, and operationalization, while establishing best practices that can be reused across multiple AI programs and use cases. The Senior AI Agent Engineer will also share knowledge with and upskill current team members on the latest Dataiku Agentic AI technology.
Key Contributions & Responsibilities
Understand project and business objectives for each AI Agent initiative
Write code in Snowflake and Dataiku to build AI Agents
Test outputs and update code as needed to refine performance
Establish reusable best practices for agent architecture, orchestration, and operationalization across AI programs
Share knowledge and train team members on Dataiku Agentic AI technology
Requirements
Education & Experience
Bachelor's degree in AI, Data Science, or Computer Science and 5–7 years of relevant experience, required
Top 3 Skills
Building AI Agents in Dataiku and Snowflake Cortex using structured data (critical)
Workflow automation using Dataiku recipes and Python (programming logic)
Experience with LangGraph, LangChain, and CrewAI
Additional Skills
( Required )
Multi-agent architecture and orchestration patterns
Agent collaboration, planning, delegation, and workflow orchestration
Reusable agent frameworks and reference architectures
Security, access control, and governance
Role-based access control (RBAC), personas, authorization models, and guardrails
Auditability and compliance considerations
Enterprise integrations and data access patterns
Integration with Microsoft Teams, SharePoint, email, PDFs, and enterprise data sources
Event-driven and batch processing architectures
API and workflow integration best practices
Agent evaluation, testing, and observability
Offline and online evaluation methodologies
Groundedness, relevance, hallucination detection, and task-success measurement
Automated regression testing, monitoring, observability, and performance tracking
Prompt engineering and agent design patterns
Prompt optimization techniques, reusable prompts, skills, tools, and agent design frameworks
Human-in-the-loop workflows
Approval processes for high-impact business decisions
Escalation paths, feedback loops, and continuous improvement mechanisms
Dataiku application development and user experience
Dataiku WebApps, UX design, and production-ready front-end development
Best practices for enterprise adoption and usability
Deployment, operationalization, and scalability
Deployment automation, monitoring, and governance
Cost and performance optimization
LLM selection and deployment strategies
Latency, token consumption, and operational cost management
Performance tuning and optimization best practices
Team Player
( Desired )
Strong communication skills
MCP experience in multi-agent systems to coordinate agent-to-agent communication is desired but not required
Benefits
401(k)
Dental insurance
Vision Insurance
Disability insurance
Employee assistance program
Health insurance
Health savings account
Life insurance
Paid time off
Paid Holidays
Please follow the link to our website for a list of job openings in Engineering, IT, Project Management, and more! https://www.dsnworldwide.com
Salary Expectations : $120,000-125,000 annually
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