Senior Consultant, AI Security Solutions, Agentic Cyber Defense Locations:

- Toronto, ON, Canada
- Ottawa, ON, Canada
- Montreal, QC, Canada

Experience Level:

Mid

About the Role:

As a Security Consultant, you will be responsible for helping clients effectively prepare for, proactively mitigate, and detect and respond to cybersecurity threats. Security Consultants have an understanding of computer science, operating system functionality and networking, cloud services, corporate network environments, and how to apply this knowledge to cybersecurity threats.

You will work on engagements including assisting clients in navigating technically complex and high-profile incidents, performing forensic analysis, threat hunting, and malware triage. You may also test client networks, applications, and devices by emulating the latest techniques to help them defend against threats. As a technical advocate for information security requirements, you will provide an in-depth understanding of the information security domain, articulate complex concepts to business stakeholders, executive leadership, and technical contributors, and successfully lead complex engagements alongside cross-functional teams.

As a Senior Consultant, you will design and develop agentic capabilities within clients' security operations centers (SOCs). Collaborating with client developers and analysts, you will translate security operations workflows into reliable AI-augmented systems, implementing agentic capabilities into client environments. This role is designed for technical professionals focused on emerging technologies and protecting clients from cybersecurity risks.

Minimum Qualifications:

- Bachelor's degree in Computer Science, Information Systems, Cybersecurity, a related technical field, or equivalent practical experience.
- 5 years of experience in detection development, SIEM or SOAR administration, or security operations center (SOC) operations.
- Experience developing detections, automated response playbooks,



and custom scripts (e.g., Python, Bash).
- Experience with AI-augmented SOC workflows, agentic security, or using LLMs to automate security operations.
- Experience integrating distributed systems via Cloud APIs or REST.
- Ability to travel up to 30% of the time as needed.

Preferred Qualifications:

- Experience developing and deploying detection and response content within modern SIEM solutions (e.g., SecOps, Elastic, Sentinel, Splunk, Cortex XSIAM).
- Experience building MCP servers and seamlessly integrating complex distributed systems via Cloud APIs.
- Experience with Python development and designing multi-agent systems, RAG pipelines, and LLM tool-calling.
- Experience in client-facing consulting and communication.
- Familiarity with AI evaluation frameworks, production guardrails, and Google Cloud's AI ecosystem.
- Background in cybersecurity operations (SOC, incident response, or detection development) using SIEM and SOAR platforms.

Responsibilities:

- Analyze customer security operations performance and workflows to identify operational issues and areas that could be measurably improved through the implementation of technology.
- Propose cutting-edge AI and automation strategies that optimize overall defense capabilities.
- Develop robust internal AI solutions, prompt pipelines, and MCP connectors to seamlessly integrate intelligent agents with core enterprise security platforms, including SIEM and SOAR solutions.
- Design, build, and maintain an internal library of agentic solutions and reusable skills that transform manual security operations into efficient, automated,



and semi-automated workflows.
- Design and integrate AI-augmented detection use-case lifecycles, agentic response playbooks, and machine-speed threat hunting procedures.
- Operationalize advanced security orchestration, automation, and response (SOAR) capabilities, including the integration of connectors for automated case management.

Compensation:

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

- Canada: $166,000 - $170,000 (CAD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Diversity and Inclusion:

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company, and English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Recruitment Agencies:

Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity:

Equity is granted exclusively and discretionarily by Alphabet Inc. based on an agreement concluded between you and Alphabet Inc. Current or past grants do not confer an acquired right.

📌 Senior Consultant, AI Security Solutions, Agentic Cyber Defense (Canada)
🏢 Google
📍 Canada