AI Knowledge Engineer

Position Details

Job Title: AI Knowledge Engineer/SME

Location: Toronto, Canada (Onsite)

Job Type - Full Time

Job Description

We are looking for an experienced AI Knowledge Engineer/SME to design and implement enterprise grade AI and GenAI solutions. You will work closely with data, product, and business teams to build knowledge retrieval systems, RAG pipelines, and data foundations that power intelligent applications. This role requires strong technical expertise combined with the ability to communicate clearly with both technical and non technical stakeholders.

Key Responsibilities

• Analyze business problems and define data strategies that support AI and GenAI initiatives
• Source, identify, and prepare high quality data for model development and knowledge retrieval
• Design and build Retrieval Augmented Generation pipelines with optimized chunking, embeddings, and similarity search
• Architect and maintain knowledge bases including metadata governance, versioning, and data lifecycle best practices
• Work with vector databases such as Pinecone, Weaviate, Chroma, FAISS, and Milvus
• Build and manage data preprocessing and ETL workflows using tools such as Airflow, dbt, or Prefect
• Develop and maintain Python based data and AI workflows using NumPy, Pandas, LangChain, LlamaIndex, or HuggingFace
• Integrate structured and unstructured data into scalable AI applications
• Design and deploy end to end GenAI solutions including retrieval systems, evaluation frameworks, and model optimization
• Collaborate with cross functional teams and present architecture decisions with clarity and confidence

Core Competencies

• Strategic data understanding and the ability to design data strategies aligned with organizational objectives
• Strong knowledge of RAG architectures and retrieval optimization
• Hands on data engineering experience across relational, NoSQL, and vector databases
• Deep understanding of LLMs, embeddings, prompt engineering, and model evaluation
• Excellent communication, documentation, and stakeholder management skills

Preferred Background

• 6 to 10 years of experience in AI, Data Engineering, or Knowledge Management
• Experience designing or implementing enterprise level RAG or knowledge retrieval systems
• Exposure to GenAI applications such as conversational AI, knowledge agents, or document intelligence
• Proven track record of solution design and production deployment

What We Offer

• Opportunity to work with a first-of-its-kind AI platform that is reshaping how banks drive growth, efficiency, and innovation.
• Competitive base salary plus performance-based bonus.
• Accelerated career growth in AI-led enterprise sales.
• A collaborative and inclusive environment driven by innovation and purpose.
• Access to deep domain learning, coaching, and exposure to global banking leaders.

Our Commitment to Diversity

We are committed to creating a diverse and inclusive workplace where everyone belongs. All applicants are considered based on merit, without bias to race, religion, gender, age, disability, or background.

Note: The salary range provided is indicative. Final compensation will be determined based on the candidate’s years of experience, role alignment, internal equity, and market data. We are committed to ensuring fair, competitive, and equitable compensation practices aligned with industry standards.