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Software Engineering Senior Engineer II - Agent Harness & Workflow Engineering Professional Mul[...]

IBM

At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world. Your role and responsibilities We are an agent-first engineering team building intelligent infrastructure automation at scale. Our platform combines frontier and small language models with strong systems engineering to deliver production‑grade automation backed by rigorous evaluation, telemetry, and quality gates. You’ll work side‑by‑side with both humans and AI agents, where writing code and orchestrating agents are equally core to the role. What You’ll Do Build and evolve type-safe, composable AI pipelines for intent analysis, planning, knowledge enrichment, and infrastructure generation Extend pipeline routing and outputs across Z, Power, and Cloud platforms (Terraform, Ansible, Pulumi, native APIs) Design context management, telemetry, and production observability for multi-step AI workflows Own a markdown-based workflow engine supporting parallel execution, rollback, approvals, and cross-domain orchestration Develop and scale a plugin-based tool provider system , integrating Power and Cloud APIs with secure session management Advance a robust evaluation framework (LLM-as-judge, regression detection, eval-as-CI) to ensure AI-generated outputs are production-safe Help build a cross-platform workflow catalog used by humans and AI agents for discovery, routing, and execution Extend the agent-to-agent (A2A) interface for capability discovery and delegation as the platform scales What the First 90 Days Look Like Month 1: Onboard onto the Go agent codebase. Run the full eval suite, understand the pipeline composition model, execute scripted workflows against the infrastructure simulator. Trace a request end-to-end from the A2A interface through intent analysis, pipeline routing, tool dispatch, and infrastructure code output. Understand the eval case format, run cross-model comparison, review regression baselines. Month 2: Extend the eval corpus — add new cases covering under-tested pipelines (iterative planning, deep research, workflow composition). Begin workflow catalog design — metadata schema, platform tagging, versioning model. Prototype a Power tool provider interface based on Power HMC API surface. Month 3: Ship workflow catalog MVP with the existing Z workflows cataloged and tagged. Deliver first Power or Cloud tool provider prototype. Implement eval-as-CI with quality gates. Begin cross-platform pipeline routing — intent analysis that distinguishes Z, Power, and Cloud prompts and routes to the correct pipeline/tool provider combination. Required education High School Diploma/GED Preferred education Bachelor's Degree Required technical and professional expertise

  • Strong Go engineering. The entire harness is Go — pipeline composition, workflow execution, tool dispatch, eval framework, agent protocol server. You need to be productive in Go immediately.
  • You’ve built execution systems. Workflow engines, pipeline frameworks, DAG executors, orchestration infrastructure — you understand step composition, error propagation, checkpoint/rollback, and what it takes to make multi-step execution reliable.
  • LLM integration experience. You’ve worked with LLM APIs in production — prompt construction, structured output parsing, function/tool calling, context window management. You understand the practical challenges of making LLM outputs reliable.
  • You care about quality measurement. You’ve built or maintained evaluation, testing, or quality systems. You understand regression detection, baseline management, and why “it works on my machine” isn’t good enough for infrastructure automation.
Preferred technical and professional experience You don’t need all of these coming in. The team will bring you up to speed:
  • IBM Z, Power, and Cloud infrastructure APIs and the operational domain knowledge encoded in our workflows
  • Terraform, Ansible, and infrastructure-as-code patterns — what correct generated infrastructure code looks like
  • Our pipeline composition model, scripted workflow engine, and tool provider plugin system
ABOUT BUSINESS UNIT IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:
  • Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
  • Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
  • Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
  • Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
  • Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. Job Title Senior Engineer II - Agent Harness & Workflow Engineering Date posted 14-Apr-2026 Job ID 109020 City / Township / Village LOWELL, San Jose, Austin State / Province Texas, Massachusetts, California Country United States Work arrangement Hybrid Area of work Software Engineering Employment type Regular Contract type Regular Projected Minimum Salary per year 161,000.00 Projected Maximum Salary per year 299,000.00 Position type Professional No Travel Company (0147) International Business Machines Corporation Shift General (daytime) Is this role a commissionable/sales incentive based position? #J-18808-Ljbffr IBM

Vacancy posted 4 days ago
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