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Deloitte

Senior Consultant - GCP Agent Platform Architect

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 25, 2026
Posting language: English
Posted: Sep 25, 2026

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Original job description

Job Type: PermanentWork Model: HybridReference code: 135135Primary Location: Toronto, ONAll Available Locations: Toronto, ON

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.

By living our Purpose, we will make an impact that matters.

Have many careers in one Firm.
Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
Learn from deep subject matter experts through mentoring and on the job coaching

--

What will your typical day look like?

As our ideal candidate, you will combine deep GCP technical expertise with client-facing consulting skills. On a typical engagement you will:

Partner with client architects and product owners to design agentic solutions on Gemini Enterprise / Vertex AI Agent Builder for real business workflows - customer operations, knowledge assistance, back-office automation, employee productivity.
Lead the end-to-end architecture: agent orchestration patterns (planner/executor, multi-agent hand-off, human-in-the-loop), tool and function calling, grounding on enterprise sources, guardrails, observability, and cost/latency controls.
Design the data foundation that agents depend on - canonical semantic layer, entity resolution, metadata and lineage, access-controlled retrieval on BigQuery, Cloud Storage, and Vertex AI Search - and work with data engineering teams to land it.
Build evaluation harnesses (offline and online) so clients can measure and improve agent quality, safety, and business outcomes over time.
Mentor junior engineers on the team; contribute to Deloitte's agentic-AI practice assets, playbooks, and internal enablement.

About The Team

The focus and passion of Deloitte's Cloud Migration & Platform practice is to help our clients become a place where their employees are passionate about the work they do, and can dramatically accelerate the speed at which they deliver value. We are a specialized capability within our technology consulting practice in Canada, focused on the technical, organizational, and cultural elements that must be considered when helping our clients embrace the Cloud mindset. With an established foothold in the Cloud domain, we are excited to be growing our Google Cloud footprint - including Gemini Enterprise agentic solutions - to continue to enable our clients. Our key clients span industries including financial services, energy and resources, consumer and retail, digital-native, technology, telecom, and public sector.

Enough About Us, Let’s Talk About You

This is a Senior Consultant role: 7–10 years of total experience with 4–6 years hands-on on Google Cloud (or equivalent cloud with a credible GCP transition path). You will lead workstreams and mentor 2–4 junior team members while working under the direction of a Manager or Senior Manager.

Qualifications

7–10 years total technology experience; 4–6 years hands-on on Google Cloud (or credible transition from another hyperscaler).
Hands-on experience designing and shipping enterprise agent solutions on Gemini Enterprise or Vertex AI Agent Builder - orchestration, tool/function calling, grounding, evaluation, and safety controls.
Working knowledge of the Agent Development Kit (ADK) and the Agent2Agent (A2A) protocol, or equivalent multi-agent orchestration patterns.
Deep familiarity with the Vertex AI stack: Gemini models, Vertex AI Search, embeddings, vector search, Vertex AI Pipelines, model registry, evaluation.
Solid understanding of the data-foundation prerequisites for agent quality: BigQuery semantic layer, dbt or comparable transformation tooling, metadata and lineage (Dataplex or equivalent), entity resolution, row/column-level access controls.
Practical experience with prompt engineering, RAG patterns, tool/function calling, structured outputs, and grounding-quality evaluation.
Working knowledge of AI safety and governance: content safety, PII handling, prompt-injection defenses, model and data-usage policies, responsible-AI review.
Proficient in Python; comfortable with at least one of TypeScript / Java / Go for agent tools and services.
Strong client-facing communication and the ability to explain trade-offs to both engineers and executives.

Good to have

GCP certification (Professional Cloud Architect, Professional Machine Learning Engineer, or Generative AI Leader).
Experience integrating agents with enterprise systems via Apigee, Workspace APIs, ServiceNow, Salesforce, SAP, or Microsoft 365.
Exposure to model fine-tuning, distillation, or adapter techniques on Vertex AI.
Prior consulting or professional-services experience in financial services, public sector, or regulated industries.
Contributions to open-source agent frameworks, technical blogs, or conference talks.
Security Clearance (Reliability / Secret)

Language requirement (Montreal)

For candidates based in Montreal: proficiency in French (spoken and written) is required, in addition to English, to serve our Quebec-based clients and colleagues in accordance with Bill 96.

Total Rewards

The salary range for this position is $80,000 - $138,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

You Shape How We Make Impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

The next step is yours

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.

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More about this job

Responsibilities

Lead the architecture and delivery of enterprise agentic AI solutions on Google Cloud, including orchestration, tool calling, grounding, safety, observability, and evaluation. Design the data foundations that support agent quality, mentor junior engineers, and contribute to the firm’s agentic AI practice and client engagements.

Requirements

Candidates should have 7–10 years of technology experience, including 4–6 years working hands-on with Google Cloud or a credible transition path, and experience designing and shipping enterprise agent solutions. They should bring expertise in Vertex AI, data foundations, AI safety and governance, Python and another service-development language, along with strong client-facing communication skills.

Skills

Google Cloud Platform
Gemini Enterprise
Vertex AI Agent Builder
Agent Orchestration
Multi-Agent Systems
Python
TypeScript
Java
Go
Prompt Engineering
Retrieval-Augmented Generation
BigQuery
Vertex AI Search
Data Governance
AI Safety
Client Communication

Benefits

Mental Health Support Benefits
Flexible Benefit Spending Account
Paid Vacation
Firm-Wide Days Off
Learning and Development Days
Flexible Work Arrangements

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
Gemini Enterprise
Vertex AI Agent Builder
Agent Development Kit
Agent2Agent Protocol
Vertex AI
Gemini Models
Vertex AI Search
BigQuery
Cloud Storage
Dataplex
Python
TypeScript
Java
Go
Agent Orchestration
Multi-Agent Systems
Tool and Function Calling
Retrieval-Augmented Generation
Prompt Engineering
Vector Search
Data Lineage
Entity Resolution
AI Safety and Governance
Apigee
ServiceNow
Salesforce
SAP
Microsoft 365
Professional Cloud Architect Certification

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