GenAI & Python Specialist, Deloitte

Toronto, Ontario, Canada

Deloitte 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?
-Strong Python development for GenAI and agentic systems
Design and implementation of Agentic AI workflows using LangChain, LangGraph, ADK, MCP
Development and orchestration of multi‑agent systems
Implementation of Retrieval‑Augmented Generation (RAG), including advanced RAG techniques
Integration and management of vector databases for RAG workflows
Design and implementation of memory systems (short‑term, long‑term, persistence, conversational checkpoints)
Agentic AI design and orchestration across workflows
Work with AI/GenAI models including Gemini and Claude 4.5 on Vertex AI
Development of business co‑pilots, including co‑pilot solutions for Risk Analysts
Support for business process optimization using GenAI
Use of NLU as an add‑on capability where requiredContribution to CTO‑led tools, including:

Agent Flow for observability, drift monitoring, feedback loops

ML Flow for model evaluation and drift detection

Sourcing test results management, including truth tables and evaluations
Bringing Agent Flow into existing projects
Domain‑specific GenAI solutions for DRO (Data and Regulatory Operations):
QA validation and KYC document processing
Systematic capture and validation of required fields
Automated document checking without extraction
Record retrieval and comparison (DNC, ANC, SMC)
Agentic framework for document management, data analysis, and data engineering
Co‑Labs initiatives:
Consolidation across MCP endpoints
Agent registries consolidation
Combining assets into an accessible catalog
Python‑based web scraping and utility development
Work with existing Python GitHub repositories
Integration with case management tools and Appian workflows (NA10)
Building agents on top of Appian workflows using ADK

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

Source ⇲
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