GenAI & Python Specialist

Company: Deloitte
Location: Toronto, Ontario, Canada
Employment Type: 1-year fixed term

About the Role

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 You'll Do

• Python Development for GenAI: Strong Python development for GenAI and agentic systems.
• Agentic AI Workflows: Design and implementation of Agentic AI workflows using LangChain, LangGraph, ADK, MCP; development and orchestration of multi-agent systems.
• Retrieval-Augmented Generation (RAG): Implementation of 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).
• AI/GenAI Models: Work with AI/GenAI models including Gemini and Claude 4.5 on Vertex AI.
• Business Co-pilots: 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.
• CTO-Led Tools: Contribution to CTO-led tools, including Agent Flow (observability, drift monitoring, feedback loops) and ML Flow (model evaluation and drift detection).
• Testing & Evaluation: Sourcing test results management, including truth tables and evaluations; bringing Agent Flow into existing projects.
• Domain-Specific GenAI Solutions (DRO): 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.
• Web Scraping & Utilities: Python-based web scraping and utility development; work with existing Python GitHub repositories.
• Integrations: Integration with case management tools and Appian workflows (NA10); building agents on top of Appian workflows using ADK.

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.