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Deloitte

GenAI & Python Specialist - Operate (Future Opportunity)

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 29, 2026
Experience: 6+ years of hands‑on experience designing and implementing AI / GenAI solutions using Python
Posting language: English
Posted: Oct 30, 2026

Original job description

Job Type: Temporary ContractWork Model: HybridReference code: 135806Primary 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

Summary

Deloitte passively is seeking an experienced GenAI & Python Specialist to join our dynamic Operate team on a 1‑year fixed term employment basis. In this role, you will design, build, and scale Generative AI solutions using Python‑based frameworks, Large Language Models (LLMs), and advanced retrieval‑augmented generation (RAG) techniques.

What will your typical day look like?

You will be responsible for strong Python development for Generative AI (GenAI) and agentic systems, including the design and implementation of Agentic AI workflows using LangChain, LangGraph, ADK, and MCP. You will develop and orchestrate multi-agent systems and design agentic solutions that support complex business workflows.

You will design and implement Retrieval-Augmented Generation (RAG) solutions, including advanced RAG techniques, and integrate and manage vector databases to support retrieval workflows. You will also build memory capabilities for AI agents, including short-term and long-term memory, persistence, and conversational checkpoints.

You will work with AI and GenAI models, including Gemini and Claude 4.5 on Vertex AI, to develop business-focused co-pilots, including solutions for Risk Analysts. You will support business process optimization using GenAI and incorporate Natural Language Understanding (NLU) capabilities where required.

You will contribute to CTO-led AI tools and frameworks, including Agent Flow for observability, drift monitoring, and feedback loops, as well as ML Flow for model evaluation and drift detection. This will include managing sourcing test results, truth tables, and evaluations, and integrating Agent Flow capabilities into existing projects.

You will develop domain-specific GenAI solutions for Data and Regulatory Operations (DRO), including QA validation and KYC document processing, systematic capture and validation of required fields, automated document checking, and record retrieval and comparison across DNC, ANC, and SMC. You will also contribute to agentic frameworks supporting document management, data analysis, and data engineering.

About The Team

This is your opportunity to work in Operate at Deloitte. Operate services harness the latest technologies, talent, and capabilities from all over the world to deliver ongoing outcomes and client value. We do more than traditional business process outsourcing. We do more than just “keeping the lights on.” We work shoulder-to-shoulder with clients and their customers, constantly adapting to the pace of change, to ideate, innovate, and embed continuous advantage at the heart of their operations. And we do it with the kind of drive and passion that comes from loving what you do - and who you do it with.

Enough About Us, Let’s Talk About You

You are someone with these skills, experience & qualifications:

6+ years of hands‑on experience designing and implementing AI / GenAI solutions using Python
Strong proficiency in Python engineering for data processing, model integration, APIs, and microservices
Deep understanding of Generative AI, LLMs, and NLP concepts and architectures
Experience building agentic AI workflows using LangGraph, including multi‑step reasoning, tool‑calling, and planner–executor patterns
Advanced knowledge of RAG techniques, including hybrid search, vector and multi‑vector retrieval, embeddings, and context optimization
Experience designing and deploying APIs and microservices to production environments
Familiarity with traditional ML/NLP techniques such as clustering, extraction, and enrichment to complement GenAI solutions
Strong communication skills, a collaborative mindset, and a passion for continuous learning and innovation in the GenAI space

Total Rewards

The salary range for this position is $72,000 - $125,000, 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

Design, build, and deploy Python-based GenAI solutions, including agentic workflows, multi-agent systems, advanced RAG, and business-focused copilots. Develop document and regulatory operations solutions, integrate AI observability and evaluation tools, and support process optimization and data-related workflows.

Requirements

Requires 6+ years of hands-on experience designing and implementing AI or GenAI solutions with Python, along with strong Python engineering and knowledge of LLMs, NLP, and production APIs and microservices. Candidates should have experience with LangGraph agent workflows and advanced RAG techniques, plus communication, collaboration, and continuous-learning skills.

Skills

Python
Generative AI
Large Language Models
LangGraph
LangChain
Agentic AI Workflows
Multi-Agent Systems
Retrieval-Augmented Generation
Vector Databases
API and Microservices Development
Natural Language Processing
Hybrid Search
Embeddings
Model Evaluation
Drift Monitoring
Document Processing

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Python
Generative AI
Large Language Models
LangChain
LangGraph
ADK
MCP
Agentic AI
Multi-Agent Systems
Retrieval-Augmented Generation
Vector Databases
Hybrid Search
Multi-Vector Retrieval
Embeddings
Context Optimization
Gemini
Claude 4.5
Vertex AI
APIs
Microservices
Natural Language Processing
Natural Language Understanding
Clustering
Information Extraction
Data Enrichment
Agent Flow
ML Flow
Observability
Drift Monitoring
KYC Document Processing

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