Principal AI Engineer (Autonomous Agent) Job at PointClickCare (Mississauga)

Principal Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

232000.00 - 319000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows
Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms
Production experience with modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing developer tools, platform engineering systems, or internal tools that enable other teams
Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs
Strong communication skills with ability to influence technical and non-technical stakeholders across the organization
Track record of technical mentorship and elevating engineering teams' capabilities

Job Responsibility

Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents
Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers
Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management
Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks
Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation
Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days
Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization
Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Machine Learning Engineer - AI Assistant + Autonomous AI Agents

Glean is looking for senior engineers who will provide expert-level individual c...

Location

United States , San Francisco Bay Area

Salary:

240000.00 - 300000.00 USD / Year

Glean

Expiration Date

Until further notice

Requirements

2+ years as a Staff Engineer, Principal Engineer, or equivalent
5+ years of industry experience in AI or Machine Learning Engineering
Experience working with agentic frameworks, reinforcement learning, natural language processing, or other large systems involving machine learning
Proven ability to design, build, and ship production-ready systems
Proficiency in your ML framework of choice
Strong coding skills (Python, Go, Java, C++, ...)
Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company
A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features

Job Responsibility

Build frameworks for LLM-powered agents to use tools and knowledge sources effectively
Invent new agentic architectures and signals to improve reasoning, planning, and personalization in workplace AI assistants
Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of agentic systems
Lead development of scalable evaluation, benchmarking, and optimization loops for agents in production
Drive technical strategy and mentor other engineers, raising the technical bar across the team
Write robust, maintainable, and well-tested code that powers enterprise-grade assistants and agents

What we offer

Medical, Vision, and Dental coverage
generous time-off policy
opportunity to contribute to your 401k plan
home office improvement stipend
annual education and wellness stipends
regular events
healthy lunches daily

Fulltime

Principal AI Engineer (Autonomous Agent)

This team will serve as the product owner for GenAI capabilities within PointCli...

Location

United States

Salary:

179000.00 - 199000.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

Expert level in Python, frameworks, and functional programming principles
Experience designing and implementing LLM agent workflows, and familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, and AutoGen.

Job Responsibility

Collaborate with product and engineering teams to translate product objectives into autonomous agent-based solutions
Design and build new agent data types, and pipelines that enable agents frameworks, and workflows to coordinate reasoning, function calling, actions
Develop and optimize autonomous agents leveraging LLMs, planning algorithms, and multi-step reasoning approaches
Implement comprehensive security mechanisms for autonomous agents, including authentication, role-based access control, audit logging, and compliance monitoring
Integrate agents securely with existing systems, APIs, and data sources with secure communication protocols

What we offer

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!

Fulltime

Principal AI Engineer (Autonomous Agent)

The AI Engineer – Autonomous Agent will work closely with the Product and Engine...

Location

Canada , Mississauga

Salary:

169000.00 - 188000.00 CAD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

Expert level in Python, frameworks, and functional programming principles
Experience designing and implementing LLM agent workflows, and familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, and AutoGen.

Job Responsibility

Collaborate with product and engineering teams to translate product objectives into autonomous agent-based solutions
Design and build new agent data types, and pipelines that enable agents frameworks, and workflows to coordinate reasoning, function calling, actions
Develop and optimize autonomous agents leveraging LLMs, planning algorithms, and multi-step reasoning approaches
Implement comprehensive security mechanisms for autonomous agents, including authentication, role-based access control, audit logging, and compliance monitoring
Integrate agents securely with existing systems, APIs, and data sources with secure communication protocols

What we offer

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!

Fulltime

Principal Product Manager

AgentX Support is Workato’s flagship AI-native engine designed to transform cust...

Location

United States , Palo Alto

Salary:

Not provided

Workato

Expiration Date

Until further notice

Requirements

10+ years of product management experience in enterprise software
Demonstrated success building 0-to-1 products or defining new market categories
Track record shipping ML/AI products to production (not just prototyping)
Experience with customer support platforms or CRM systems
Experience with real-time systems or high-throughput environments
Strong systems thinking and comfort designing across APIs, data, models, and workflows
Sufficient technical depth to partner effectively with engineering and AI research teams
Ability to operate effectively in ambiguous, fast-moving environments
Exceptional written and verbal communication skills, with executive-level presence

Job Responsibility

Define the vision and long-term strategy for AI-native, agentic customer support
Establish the product narrative and positioning that differentiates Workato in the customer service market
Represent Workato’s point of view with customers, partners, and industry stakeholders
Partner with design and marketing to translate product capabilities into clear customer value
Define how AI agents interpret intent, reason through complex customer issues, and determine when to act autonomously
Design orchestration frameworks that connect large language models with enterprise systems of record
Lead the development of workflows that enable AI agents to execute actions such as refunds, order modifications, and escalations
Ensure appropriate controls for safety, observability, compliance, and human-in-the-loop oversight at enterprise scale
Define the next-generation support agent workspace augmented by real-time AI guidance
Deliver systems that surface relevant context, recommendations, and next-best actions to human support agents during live customer interactions

What we offer

Vibrant and dynamic work environment
Multitude of benefits they can enjoy inside and outside of their work lives

Principal Product Manager Architect

Microsoft is transforming how the world works with AI and reshaping human produc...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience
Demonstrable hands-on experience building with modern AI tooling including agent frameworks, orchestration engines, retrieval pipelines, and leading LLM ecosystems
Experience designing enterprise AI scenarios using Microsoft 365 Copilot extensibility, Copilot Studio, Graph Connectors, or Azure AI
Technical depth in cloud architecture, distributed systems, enterprise application design, and modern AI architectural concepts
Experience with conversational AI, autonomous workflows, multi-agent patterns, grounding strategies, and evaluation approaches
Ability to operate in ambiguous environments, make clear decisions, and collaborate effectively across engineering, design, research, and field organizations
Strong written, verbal, and visual communication skills across technical and executive audiences
Ability to define metrics, use analytics, and drive data-informed product direction
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Architect the next generation of AI agents
Provide technical architecture guidance across agentic workflows, grounding strategies, tool integration, retrieval pipelines, multi agent patterns, and orchestration models
Advise customers on optimum AI agent architectures across data surfaces, security boundaries, extensibility points, and operational requirements
Partner closely with engineering teams to validate architectural patterns and influence platform capabilities
Lead customer innovation and early adopter engagements
Drive architectural design sessions for bleeding edge agent scenarios with strategic enterprise customers
Partner with Forward Deployed Engineering and Builder PM teams to validate new platform capabilities and pilot frontier agent patterns
Serve as a trusted advisor in customer conversations focused on complex AI implementations
Shape platform direction and ecosystem strategy
Track emerging AI tooling, modern agent frameworks, orchestration engines, retrieval innovations, and competitive LLM ecosystems

Fulltime

Principal AI Engineer (Autonomous Agent)

Location

United States

Salary:

Not provided

PointClickCare

Expiration Date

Until further notice

Requirements

Have you built or worked with LLM-based autonomous agents before? Can you briefly describe one example?
Which agent or LLM frameworks have you used? (Examples: LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI)
Would you consider yourself an expert-level Python engineer? Can you share examples of complex systems you’ve built with Python?
Have you implemented authentication, access control, or security mechanisms for AI/ML systems or agent workflows?
Have you integrated AI agents with external systems or APIs (e.g., tools, data sources, internal apps)?

Fulltime

Principal AI Test Engineer - Prisma Access

We are seeking an AI-savvy Principal QA Test Engineer to transform how we test a...

Location

United States , Santa Clara

Salary:

147000.00 - 237500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

10+ years of experience in QA/Test Automation Engineering with demonstrated impact on product quality and team practices
2+ years of hands-on experience with AI/ML technologies, including LLMs, prompt engineering, and AI-assisted development workflows
Proven track record of building autonomous testing systems or AI-powered quality engineering tools
Deep expertise in cybersecurity, cloud networking, or distributed systems test
Strong proficiency in Python and/or Go for test automation and AI workflow development
Hands-on experience with LLM frameworks and AI model integration
Expertise in REST API testing, web UI automation (Selenium, Playwright, Puppeteer), and cloud-native application testing
Experience with browser security solutions: enterprise browsers, remote browser isolation, browser extensions
Strong understanding of networking fundamentals: TCP/IP, DNS, routing, VPN technologies, and firewall concepts
Knowledge of SASE (Secure Access Service Edge) architecture and Zero Trust Network Access (ZTNA) principles

Job Responsibility

Design and implement autonomous QA workflows using AI agents and LLM-based frameworks to achieve continuous, intelligent test execution across multiple services
Develop AI-augmented test infrastructure enabling scalable, context-aware testing that reflects real-world deployment scenarios
Build AI-powered test generation systems that automatically create comprehensive test suites from requirements, specifications, and production telemetry
Participate in system design to ensure quality, observability, and testability are built-in throughout the feature development lifecycle
Provide technical leadership in browser security, cloud orchestration, distributed systems, and AI-assisted quality engineering across multi-team quality initiatives
Mentor junior and mid-level engineers on AI/ML testing techniques, prompt engineering, and modern quality practices
lead adoption of new testing methodologies and measure impact
Collaborate with Development, SRE, Product Management, and Technical Marketing to align quality strategy with business outcomes
influence peers without authority to establish quality standards
Stay current with AI/ML advancements and translate them into practical testing innovations (agentic workflows, multimodal testing, AI-powered observability)

What we offer

restricted stock units
bonus

Fulltime

Principal AI Engineer (Autonomous Agent)

PointClickCare

Location:
Canada , Mississauga

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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