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Siemens

Senior Agentic AI Engineer- Physical AI hub, Kitchener

Kitchener, ON, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 1, 2026

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Original job description

Change the future with us.

We are looking for dedicated and talented people who solve ever-changing challenges, customer needs, and questions from colleagues with clever concepts and creativity. We embrace change and work with curious minds re-inventing the future of work. Join us and let us focus together on what’s truly important: making lives better with new ideas and the latest technology around the world.

About the role:

Are you passionate about building AI systems that reason, monitor, verify, and recover within clear operational boundaries? Do you want to shape how agentic AI is used in industrial robotics without treating the model as an unconstrained decision maker?

We are seeking a Senior Agentic AI Engineer to build the harness reasoning, monitoring, recovery, and completion-gating capabilities for the Physical AI Runtime. This engineer will design bounded agentic loops that assemble context, observe execution, interpret runtime evidence, trigger recovery, and escalate to operators when needed. The work sits inside the trusted execution layer that validates, authorizes, and orchestrates AI-assisted robot action.

What you will do:

Build bounded agentic workflows for context assembly, monitoring, completion verification, recovery, and escalation.
Define structured tool interfaces, policies, guardrails, runtime authority boundaries, and audit metadata.
Implement plan-execute-observe-verify-recover loops that operate on robot-task state and runtime evidence.
Design recovery behavior with explicit retry limits, fallback paths, operator handover, and traceable decisions.
Evaluate agent behavior through scenarios, traces, regression tests, failure taxonomies, and acceptance criteria.
Work with perception, ML systems, QA, orchestration, and platform engineers to connect model reasoning to deterministic runtime contracts.
Document limitations, failure modes, and operational expectations for agentic behavior in industrial robotics workflows.

What you will bring:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, Software Engineering, Computer Engineering, or a related field.
2+ Strong experience building agentic AI systems, LLM-based applications, planning systems, decision engines, or tool-using AI workflows.
Strong software engineering skills in Python, TypeScript, or another language used for production services and orchestration.
Experience with state machines, event-driven systems, workflow engines, task orchestration, tool invocation, or plan-execute-observe loops.
Ability to constrain AI behavior through policies, contracts, validation steps, structured outputs, tool boundaries, and explicit authority models.
Experience designing monitoring and recovery behavior, including retries, fallback paths, exception handling, completion verification, and human handover.
Understanding of evaluation methods for agentic systems, including scenario tests, regression suites, trace review, failure taxonomies, and behavioral acceptance criteria.
Ability to work with perception signals, runtime state, skill results, traces, and operator feedback as evidence for decisions.
Strong communication skills for explaining model behavior, uncertainty, limits, and safety-relevant trade-offs to engineering and product stakeholders.

What sets you apart:

Experience with robotics, automation, physical-world AI, or systems where AI decisions affect machines, workflows, or operators.
Experience with ReAct-style patterns, structured tool calling, retrieval, context engineering, VLM/VLA integration, or multimodal agent workflows.
Knowledge of safety-envelope reasoning, policy enforcement, runtime guardrails, or validation layers.
Experience building agent observability, prompt and policy regression tests, trace inspection tooling, or evaluation dashboards.
Familiarity with operator handover workflows, human-in-the-loop review, and escalation paths.
Ability to design recovery behavior that is bounded, auditable, and testable.
Strong judgment about what should be agentic and what should remain deterministic software.

Work environment:

This role is primarily software focused, with regular collaboration around real robot-cell data, traces, perception evidence, and integration tests.
Hybrid work is supported, with on-site presence expected for workflow validation, failure analysis, and cross-team integration sessions.

Why join us?

Impact: Build the founding team and platform capability for a strategic Physical AI initiative in Canada.
Innovation: Work at the intersection of robotics, AI, industrial software, workflow orchestration, and platform engineering.
Leadership: Shape the direction, culture, and operating model of a new strategic engineering organization.
Collaboration: Partner with leading global research, product, and engineering teams.
Growth: Help define how Physical AI platform capabilities scale from data foundations to runtime-enabled industrial applications.

Salary is commensurate with experience, and ranges between $ 90,000 CAD - $ 140,000 CAD, excluding bonus and benefits. In addition to base salary, this role includes eligibility for an annual discretionary bonus of 10% of base salary, based on Company performance metrics. 

Why you’ll love working for Siemens!

Freedom and a healthy work- life balance– Embrace our flexible work environment with flex hours, telecommuting and digital workspaces.
Solve the world’s most significant problems – Be part of exciting and innovative projects.
Engaging, challenging, and fast evolving, cutting edge technological environment.
Opportunities to advance your career and mentorship programs on a local and global scale.
Competitive total rewards package.
Profit sharing available.
Rewarding vacation entitlement with the opportunity to buy and sell your vacation depending on your lifestyle.
Contribute to our social responsibility initiatives focused on access to education, access to technology and sustaining communities and make a positive impact on the community.
Participate in our celebrations, social events and offsite business events.
Opportunities to contribute your innovative ideas and get paid for them!
Employee perks and discounts.
Diversity and inclusivity focused.

Siemens is proud to be an eight-time award winner of Canada’s Top 100 Employers, Canada’s Greenest Employers 2025 and Canada’s Top Employers for Young People 2025.

About Us.

We share our ideas and champion the people behind them.

Siemens Canada is a leading technology company focused on industry, infrastructure, mobility and healthcare. The company’s purpose is to create technology with purpose, transforming the everyday, for everyone, since 1912. By combining the real and the digital worlds, Siemens empowers its customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more liveable, and transportation more sustainable. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

In fiscal 2024, which ended September 30, 2024, Siemens Canada had revenues of approx. $2.2 billion CAD. The company has approximately 4,400 employees from coast-to-coast and 37 office and production facilities across Canada.

To learn more about Siemens Canada, visit our website at www.siemens.ca

While we appreciate all applications we receive, we advise that only candidates under consideration will be contacted.

Canada

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More about this job

Responsibilities

Build bounded agentic workflows for industrial robotics, including context assembly, execution monitoring, completion verification, recovery, and escalation. Define runtime policies and tool boundaries, evaluate agent behavior through tests and traces, and collaborate across engineering teams to connect model reasoning with deterministic runtime contracts.

Requirements

A bachelor's or master's degree in computer science, AI, robotics, software engineering, computer engineering, or a related field is requested, along with 2+ years of strong experience building agentic AI, LLM applications, planning systems, or tool-using workflows. Candidates should have production software skills, experience with orchestration and bounded recovery, agent evaluation expertise, and the ability to communicate safety-relevant limitations and trade-offs.

Skills

Agentic AI Systems
Python
TypeScript
Software Engineering
Workflow Orchestration
State Machines
Event-Driven Systems
Tool Invocation
AI Guardrails
Runtime Monitoring
Recovery Design
Completion Verification
Agent Evaluation
Robotics
Human-in-the-Loop Workflows
Multimodal AI

Benefits

Annual Discretionary Bonus
Flexible Work Hours
Telecommuting
Career Advancement Opportunities
Mentorship Programs
Profit Sharing
Paid Vacation
Vacation Purchase and Sale Options
Social Responsibility Initiatives
Social Events
Employee Perks and Discounts

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Physical AI
Industrial Robotics
Python
TypeScript
Large Language Models
Planning Systems
Decision Engines
Workflow Orchestration
State Machines
Event-Driven Systems
Structured Tool Calling
Plan-Execute-Observe Loops
Runtime Guardrails
Policy Enforcement
Completion Verification
Recovery Workflows
Human-in-the-Loop
Perception Signals
Runtime Evidence
Scenario Testing
Regression Testing
Trace Review
Failure Taxonomies
ReAct-Style Patterns
Retrieval
Context Engineering
Vision-Language Models
Robot-Cell Integration

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