This range is provided by Vision Talent Co.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay rangeCA$100.00/hr - CA$130.00/hrVision Talent’s client is seeking a highly experiencedSenior GenAI & Data Solutions Architectto design, build, and enhance next-generation solutions in theAnti-Money Laundering (AML) and Fraud Analyticsspace. This role will focus on leveragingGenerative AI ,agentic AI design patterns, andmodern cloud-based data platformsto deliver scalable, accurate, and governed FinCrime solutions aligned with enterprise AI standards.The ideal candidate brings deep technical expertise across cloud data platforms, GenAI architectures, and FinCrime analytics, with the ability to collaborate across business and technology teams to deliver impactful, reusable AI-driven solutions.****This is a contract position, initial term is 6 months with robust likelihood of extension. Hybrid with 4 days/week required on site in downtown Toronto.Key ResponsibilitiesGenAI & AI Solution DesignDesign and implementGenerative AI solutionsto enhance AML and Fraud Analytics use cases.DevelopRetrieval-Augmented Generation (RAG)applications using vector databases, indexing strategies, and semantic search.Applyagentic AI design patterns and frameworksto build intelligent, autonomous FinCrime agents.Design and developreusable FinCrime AI agentsthat can be leveraged across multiple use cases.IntegrateMCP frameworkswith agentic AI solutions where applicable.Design and buildmodern cloud-based data platformswith 6+ years of hands‑on experience.Implement data ingestion, transformation, and modeling pipelines withinlakehouse architectures .Work primarily withAzure and/or AWS, with preference for candidates familiar with enterprise‑scale cloud environments.GenAI Platforms & ToolingBuild GenAI solutions using platforms such asAzure OpenAI (Foundry)andAWS Bedrock(e.G., Anthropic models).Evaluate and recommendopen‑source LLMs and frameworks,



selecting the most appropriate solution for each use case.Implementindex‑based and vector‑based searchtechniques to improve accuracy and relevance of GenAI outputs.Model Accuracy, Governance & OperationsDefine and executetesting strategiesfor GenAI solutions, focusing on accuracy, reliability, and bias mitigation.Continuously improve GenAI output quality through prompt engineering, retrieval optimization, and evaluation frameworks.Contribute tomodel documentation, governance, evaluation, and complianceprocesses.SupportLLMOps and MLOpspractices, including deployment, monitoring, and lifecycle management.Work closely withBusiness, FinCrimes IT, platform teams, and cross‑functional technical teams .Quickly understand and align withenterprise AI processes and governance standards, developing solutions accordingly.Stay current with industry trends and rapidly adoptbest practicesin GenAI, data engineering, and FinCrime analytics.Required Qualifications6+ years of experiencedesigning and building modern data platforms in the cloud (Azure or AWS preferred).Strong hands‑on experience with:Data ingestion, transformation, and modeling inlakehouse environmentsPython, PySpark, DockerProven experience designing and deploying:RAG applicationsVector databases and indexing strategiesAgentic AI solutionsStrong understanding ofGenAI testing methodologies, accuracy measurement, and optimization techniques.Experience withLLMOps / MLOpspractices.Strong communication skills with the ability to work across technical and non‑technical teams.Nice to HaveFinCrime domain knowledge(AML, Fraud, Financial Crimes).Experience in regulated enterprise environments with strong AI governance requirements.Familiarity with open‑source AI ecosystems and emerging GenAI frameworks.This is a hybrid role with 4 days a week required on site downtown.Initial 6 month contract term with a strong likelihood of extension.Apply today to learn more!Seniority levelMid‑Senior levelEmployment typeContractJob functionInformation Technology#J-18808-Ljbffr

📌 Genai/Aml Solutions Architect - C$100 - C$130 An Hour (Toronto)
🏢 Vision Talent
📍 Toronto