Staff Agentic Software Engineer - Workflow

Staff Agentic Software Engineer - Workflow

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

We are seeking a Staff Agentic Software Engineer to lead the design and engineering of next-generation AI agentic workflows in ServiceNow Global Cloud Services OODP (Observability and Ops Data Platform) Team. This role sits at the intersection of workflow automation, AI/LLM technology, and enterprise software engineering, focusing on building scalable, reliable, and intelligent agent-driven processes for AI-powered observability products.

As a Staff-level contributor, you will drive the strategy, architecture, and execution of AI-driven workflows, shaping how autonomous and semi-autonomous agents orchestrate tasks across complex systems. You will partner closely with product managers, architects, customers, and engineering teams to deliver robust, human-aligned, and production-ready agentic workflows that power the future of observability.

What you get to do in this role:

• Lead the design and development of agentic workflows that leverage LLMs and autonomous agents to automate complex, multi-step business processes.
• Architect and implement AI agent frameworks to orchestrate planning, tool use, and collaboration across systems.
• Define, standardize, and maintain reusable workflow components (retrieval modules, planners, memory, state machines, execution engines).
• Collaborate with UX engineers, product managers, and domain experts to ensure workflows are human-centered, safe, and transparent.
• Build integrations with observability platforms, APIs, and other data sources.
• Apply RAG (Retrieval-Augmented Generation), structured knowledge grounding, and guardrails to ensure accuracy and reliability of AI-driven workflows.
• Establish best practices for end-to-end development, including design, implementation, testing, CI/CD automation, monitoring, and logging of agentic workflows.
• Mentor engineering teams in agentic workflow design patterns and share expertise in LLM orchestration at scale.
• Partner with research and data science teams to evaluate LLM models, optimize prompting strategies, and measure workflow efficiency, reliability, and trust.
• Drive continuous improvement by identifying opportunities for automation, optimization, and AI-first redesign of existing processes.

Qualifications

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
• Proven experience designing and deploying LLM-powered workflows or AI agents in production environments.
• Strong expertise in agentic AI orchestration frameworks and familiarity with planner-executor and multi-agent architectures.
• 8 years related experience with Bachelors or 6 years with Master or equivalent experience with a focus on workflow automation, backend development, distributed systems. Strong Java, Python and REST API, backed by strong computer science fundamentals in data structures, algorithms, and software design.
• Strong data background with RDBMS and TSDB, and proficiency in analytical SQL and PromQL queries.
• Expertise in CI/CD pipelines, containerization (Kubernetes, Docker), and cloud-native deployment for AI-driven services.
• Excellent troubleshooting, debugging, and performance optimization skills for complex workflows and distributed agents.
• Strong collaboration and cross-functional communication skills to work with UX, product, and AI research teams.
• Strong statistical background with ability to design scalable, robust, and efficient ML systems that integrate with the full tech stack.
• Preferred: Hands on experience with UI/UX engineering in JavaScript/TypeScript, modern UI frameworks (React, Next.js, Vue, Angular)
• Preferred: Familiarity with responsible AI principles (bias mitigation, safety, transparency) and monitoring tools for AI/agentic workflows.
• Preferred: Experience with observability tools (Grafana, Prometheus, Elastic), and ServiceNow platform development.