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Planet DDS Logo Planet DDS · IT - Software Development

Senior Enterprise Agentic AI Engineer

United States, Irvine 177000.00 - 221000.00 USD / Year · Job Posted January 25, 2026
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Job Description

Planet DDS is building a centralized intelligence layer focused on transforming how our internal teams operate through agentic workflows. We are looking for a Sr. Enterprise Agentic AI Engineer to design, build, and operate agentic AI workflows that streamline internal operations at scale. You will architect and implement multi‑agent systems, integrate with enterprise platforms, ensure reliability and guardrails, and deliver measurable business outcomes. This role is ideal for a senior, self-directed engineer who enjoys operating with autonomy, translating business problems into technical solutions, and owning work end-to-end, from idea through production and adoption.

Job Responsibility

  • Design, build, and scale production-grade agentic workflows that observe operational signals, reason across data, and take or recommend actions such as alerts, task creation, and decision support
  • Implement multi‑agent patterns (planner/worker, toolformer, delegate/reviewer) with deterministic and human‑in‑the‑loop controls
  • Architect an agentic intelligence layer atop the enterprise data lakehouse
  • Own the AI execution layer, including prompt architecture, orchestration, evaluation, monitoring, logging, and tool creation including but not limited to MCP
  • Translate business needs and operational challenges into clear technical approaches and delivery plans, resulting in scalable, reusable AI solutions
  • Partner closely with data engineering to define AI-ready schemas and data contracts
  • Instrument workflows with tracing, cost/perf dashboards, evaluation harnesses (automated + human), and drift monitoring
  • Ensure AI systems are secure, governed, auditable, and reliable
  • Drive solutions from concept to production without heavy process or handoffs

Requirements

  • 5-7 years of experience in software engineering or applied machine learning
  • 2+ years building production deployments of agentic AI systems (tool‑using LLMs or multi‑agent workflows) with measurable business outcomes
  • Demonstrated experience productionizing AI or LLM-based systems
  • Proficiency in Python/TypeScript and building API‑first services with CI/CD
  • Hands-on experience with prompt engineering, evaluation, and optimization
  • Working knowledge of enterprise lakehouse architectures, including Delta Lake, medallion patterns, streaming ingestion, governance (Unity Catalog), and designing data layers that support high‑performance AI/agentic workflows
  • Proven ability to integrate Azure OpenAI or similar LLM platforms into orchestrated workflows
  • Experience designing and orchestrating multi-step, event-driven workflows using modern cloud-native services for serverless execution, workflow orchestration, messaging, and event-driven architecture
  • Experience designing and deploying cloud-native AI workflows in Microsoft Azure
  • Demonstrated ability to implement guardrails, output validation, and human‑in‑the‑loop patterns in production
  • Strong understanding of secure system connectivity in Azure, including identity, secrets management, and access control
  • Familiarity with AI cost optimization strategies
  • Proven ability to operate independently and drive work end-to-end
  • Experience in B2B SaaS or operational technology environments

What we offer

  • Medical, dental and vision insurance
  • Health Savings Account
  • Flexible Spending Accounts
  • Telehealth
  • 401(k) and 401(k) match
  • Life and AD&D insurance
  • Short-Term and Long-Term Disability
  • FTO or Vacation
  • Sick Time
  • Employee Well-Being program
  • 11 paid holidays
  • Volunteer Time Off
  • Employee Referral program
  • Additional perk and voluntary benefit programs
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