(1113180) Senior AI Agent Engineer
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What you'll do
- 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
What they're looking for
- Bachelor's degree in AI, Data Science, or Computer Science and 5–7 years of relevant experience, required
Nice to have
- MCP experience in multi-agent systems to coordinate agent-to-agent communication is desired but not required
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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
Company
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