AI Engineer - Senior

Russell Tobin & Associates is hiring on behalf of one of its esteemed clients.

Job : 26-20647

Job Title: AI Engineer - Senior

Location: Toronto, ON (Onsite)

Duration: 226 Business Days with possible extension

Client: Public Sector

Pay Rate: CAD $95 per hour

This role is for a Senior AI Engineer responsible for designing, developing, and supporting enterprise‑grade AI, Generative AI, and Conversational AI solutions for cloud‑based contact centre environments. The successful candidate will build and optimize AI‑powered virtual assistants, voicebots, AI agents, and self‑service capabilities using Amazon Connect, Amazon Bedrock, Amazon Lex, and Large Language Models (LLMs). The role includes developing secure, scalable AI solutions, integrating them with enterprise applications and APIs, and implementing advanced capabilities such as Retrieval‑Augmented Generation (RAG), prompt engineering, AI guardrails, and Model Context Protocol (MCP) to deliver accurate and reliable customer interactions.

The ideal candidate will have strong experience developing AI‑driven applications using Python, JavaScript/Node.js, AWS serverless technologies, REST APIs, and cloud‑native architectures. They will work closely with architects, business analysts, and contact centre teams to design conversational workflows, integrate AI solutions with enterprise systems, develop technical documentation, and participate in testing, deployment, troubleshooting, and continuous optimization of AI‑powered customer service platforms.

• 5+ years of experience developing Artificial Intelligence and Machine Learning solutions.
• Hands‑on experience implementing Generative AI and Large Language Model (LLM) solutions in enterprise environments.
• 5+ years of experience implementing contact centre solutions utilizing Amazon Connect.
• Experience configuring and developing Amazon Connect Customer AI Agents.
• Extensive experience designing, developing and implementing Amazon Connect cloud‑based contact centre solutions.
• Experience integrating Amazon Bedrock services with Amazon Connect solutions.
• Experience designing, developing and optimizing prompts for conversational AI, virtual assistants and AI agents.
• Experience with AWS services including Amazon Connect, Amazon Bedrock, Amazon Lex, AWS Lambda, API Gateway, Amazon DynamoDB, Amazon S3, Cloud Watch, Event Bridge and IAM.
• Knowledge of Azure OpenAI, Azure AI Services, Azure AI Foundry, Google Vertex AI, Gemini and equivalent AI platforms.
• Strong experience with Python development.
• Experience with JavaScript, Node.js and related technologies.
• 5+ years of experience implementing conversational AI, IVR or contact centre solutions.

• Undertakes the development, configuration, implementation and support of Artificial Intelligence (AI), Generative AI and Conversational AI solutions based on business requirements, architecture standards, security policies, best practices and project deliverables.
• Designs, develops and supports AI‑powered conversational IVR solutions, virtual assistants, voicebots, AI agents and self‑service capabilities utilizing Amazon Connect Customer AI Agents, Amazon Bedrock, Amazon Lex and related technologies.
• Develops and maintains integrations between AI solutions, contact centre platforms, enterprise applications, knowledge repositories, APIs, workflow systems and cloud services.
• Designs, develops and optimizes prompts, prompt templates, orchestration logic, retrieval mechanisms and AI guardrails to ensure secure, accurate and effective AI interactions.
• Develops and supports AI Agents leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Model Context Protocol (MCP) servers, tool‑calling frameworks and enterprise knowledge repositories.
• Configures and develops Amazon Lex bots including intents, slots, utterances, fulfillment logic, conversational flows and escalation mechanisms.
• Works closely with architects, business analysts, contact centre teams and stakeholders to implement scalable, secure and reliable AI solutions.
• Develops technical specifications, implementation documentation, deployment procedures and operational support materials.
• Participates in testing, troubleshooting, deployment and ongoing optimization of AI‑powered contact centre solutions.
• Ensures solutions comply with organizational standards for security, privacy, accessibility and Responsible AI.