Senior Developer, Agentic AI

Overview

ABOUT JAGGAER

JAGGAER provides an intelligent Source-to-Pay and Supplier Collaboration Platform that empowers organizations to manage and automate complex processes while enabling a highly resilient, responsible, and integrated supplier base. With 30 years of expertise, we specialize in solving complex procurement and supply chain challenges across various industries.

Our 1,300+ global employees are obsessed with ensuring customers get full value from our products - ultimately enhancing and transforming their businesses.

For more information, visit www.jaggaer.com

JAGGAER is an AI-powered procure to pay and source to pay software solutions platform for manufacturing, public sector and higher education.

We are seeking a hands-on Principal Engineer to lead the architecture and evolution of our enterprise agentic AI platform.

You will work across AI agents, multi-agent orchestration, workflows, tools, enterprise integrations, retrieval, model providers, micro-frontends, observability, security, and governance. Your responsibility will be to create a coherent, reusable platform that enables multiple product teams to build and operate secure, reliable AI capabilities at scale.

This is not a documentation-only architecture role. You will be expected to design systems, review and write production code, resolve complex technical issues, guide platform migrations, and mentor senior engineers.

Principal Responsibilities

• Define the target architecture for enterprise AI agents, workflows, orchestration runtimes, tools, retrieval, model integrations, and embedded user experiences.
• Establish clear platform contracts for agent definitions, versions, advertised capabilities, tools, workflows, sessions, memory, and runtime execution.
• Design and evolve multi-agent and Supervisor Agent architectures that can safely coordinate worker agents, child supervisors, tools, and long-running workflows.
• Define shared runtime operations such as invoke, stream, resume, approve, cancel, status, events, and trace.
• Ensure secure propagation of tenant, user, authorization, run, and delegation context across distributed agent and workflow calls.
• Build deterministic security, policy, approval, budget, retry, and lifecycle controls around probabilistic model decisions.
• Guide micro-frontend and embedded AI architecture, including streaming, orchestration progress, tool activity, evidence, approvals, and error handling.
• Define provider-independent model integrations and model-selection strategies based on quality, latency, reliability, and cost.
• Establish agent evaluation systems covering capability selection, plan quality, grounding, hallucination, safety, latency, cost, and user experience.
• Drive observability across model calls, agents, tools, workflows, retrieval, evaluation, and final synthesis.
• Design for retries, idempotency, partial failures, cancellation, long-running execution, human pauses, and process recovery.
• Lead technical reviews, critical refactors, production debugging, and platform-hardening initiatives.
• Mentor engineers and influence architecture across multiple product and platform teams.

Position Requirements

• 7+ years of software engineering experience, with experience operating at Principal Engineer, Architect, Staff+ Engineer, or equivalent scope.
• Strong hands-on programming and production-debugging ability.
• Deep experience designing and operating distributed, multi-tenant enterprise platforms.
• Strong expertise in several of the following:
• Python
• TypeScript and React
• API and event-driven architectures
• PostgreSQL and Redis
• Workflow or queue-based systems
• Containers and Kubernetes
• Public cloud platforms
• Production experience with LLM applications, AI agents, or enterprise AI platforms.
• Understanding of tool calling, structured model output, retrieval-augmented generation, model evaluation, and human-in-the-loop workflows.
• Strong knowledge of authentication, authorization, tenant isolation, API versioning, observability, reliability, and data governance.
• Ability to distinguish model-driven decisions from deterministic security, policy, and transactional controls.
• Excellent communication skills and a proven ability to influence technical direction across teams.

Preferred Qualifications

• Experience designing multi-agent, Supervisor Agent, or research-oriented AI systems.
• Experience with graph-based orchestration frameworks and cloud-hosted generative AI services.
• Experience with multiple commercial LLM providers.
• Experience building shared platforms used by several product teams.
• Experience with micro-frontends and AI functionality embedded across a product portfolio.
• Familiarity with AI governance, model risk management, audit, safety controls, and regulatory requirements.
• Experience with distributed tracing and AI observability platforms.
• Experience defining internal developer platforms, reference architectures, and migration programs.

Ideal Leadership Profile

You are:

• Hands-on and comfortable moving from architecture to implementation
• Opinionated but evidence-driven
• Focused on simplifying complex systems without forcing unnecessary rewrites
• Experienced in balancing delivery speed with security and platform quality
• Comfortable making trade-offs across model quality, latency, cost, and reliability
• Able to communicate effectively with engineers, product leaders, security teams, and executives
• Passionate about mentoring engineers and building strong technical leadership across the organization

   

  What We Offer: 

  At JAGGAER, we are committed to supporting you and your family’s well-being. Your health is a priority, and we offer a range of programs to help you stay well and thrive. Our benefits include Health, Accidental Insurance, and Term Life. 

  Our Values - T.E.A.M:

  At JAGGAER, our business is about people. Our products are built on intellectual property, but the real differentiator is the teams behind them–the way we collaborate, innovate, solve problems and deliver for customers. TEAM gives us a common set of expectations for how we work together across products, cultures, and geographies. 

  • Transparency - Openness Builds Trust: Candor strengthens relationships, speeds decision-making, and ensures problems are solved together—with customers, teammates, and partners.
  • Entrepreneurial Spirit – Own It, Drive It, Make It: A scrappy, customer obsessed, problem-solving mindset is at the cornerstone of both organizational and personal growth 
  • Accountability – Thumbs In, Not Fingers Out: We take responsibility ourselves before pointing elsewhere
  • Metrics-Driven Results – Outcomes Over Activities: Data and evidence guide our decisions, help us course-correct quickly, and ensure we’re delivering real impact. 

  EEO: 

  JAGGAER is a proud equal opportunity/affirmative action employer supporting workforce diversity. We do not discriminate based upon race, ethnicity, ancestry, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military, or veteran status, mental or physical disability, or other applicable legally protected characteristics. 

  Great Place to Work® Certified 2026 – JAGGAER

  Join a workplace where innovation, collaboration, and people come first.

  We are proud to announce that JAGGAER has been certified as a Great Place to Work® for 2026, recognizing our commitment to creating an inclusive, empowering, and high-performing culture.

  #LI-AR1