AI Engineer - Senior

I would like to present to you a new job opportunity and I think you may find it interesting.

If you are interested kindly send the following documents to [email removed] by Friday, July 10, 10:00 AM EST if that interests you and matches your profile.

• Updated Resume in word format (Mandatory)

• References (Mandatory)

• Expected hourly rate (Mandatory)

• Visa Status (Mandatory)

• LinkedIn ID (Mandatory)

Client: Ministry of Public and Business Service Delivery and Procurement

Work Location: 222 Jarvis, Toronto, Ontario, Onsite

Estimated Start Date: 2026-07-06

Estimated End Date: 2027-03-31

#Business Days: 226.00

Extension: Probable after the initial mandate

Hours per day or Week: 7.25 hours per day

Security Level: No Clearance Required

Must Haves

• 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 center solutions utilizing Amazon Connect.

• Experience configuring and developing Amazon Connect Customer AI Agents.

• Extensive experience designing, developing and implementing Amazon Connect cloud-based contact center 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, CloudWatch, 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 center solutions.

Nice to have

• Prior OPS or Public sector exp.

RoleOverview

Senior AI Engineer – Responsibilities/Assignment Responsibilities:

Responsibilities

• 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, viceroys, 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 center 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 center 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 center solutions.

• Ensures solutions comply with organizational standards for security, privacy, accessibility and Responsible AI.

General Skills

• Knowledge of Artificial Intelligence (AI), Generative AI, Machine Learning (ML), Large Language Models (LLMs), Agentic AI and Conversational AI technologies.

• Knowledge of Retrieval Augmented Generation (RAG), prompt engineering, vector databases and semantic search technologies.

• Knowledge of Amazon Connect, Amazon Bedrock, Amazon Lex and AWS cloud services.

• Knowledge of MCP (Model Context Protocol) concepts, tool integration patterns and AI agent orchestration.

• Knowledge of cloud computing technologies, APIs, microservices and event-driven architectures.

• Ability to gather technical requirements and translate them into scalable AI solutions.

• Ability to develop technical designs, implementation specifications and support documentation.

• Knowledge of technology trends, emerging AI capabilities and industry best practices.

• Excellent analytical, problem-solving and troubleshooting skills.

• Excellent verbal and written communication skills, interpersonal skills and teamwork skills.

• A team player with a track record for meeting deadlines.

Experience And Skill Set Requirements

Technical Skills – 50 Points

AI Engineering & Generative AI

• 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.

• Experience building and supporting AI Agents utilizing foundation models and agent orchestration frameworks.

• Experience implementing Retrieval Augmented Generation (RAG) architectures utilizing enterprise knowledge repositories.

• Experience working with foundation models including Anthropic Claude, OpenAI GPT, Google Gemini, Meta Llama or equivalent technologies.

• Experience evaluating and selecting AI technologies, foundation models and AI services based on business requirements.

• Experience designing and implementing AI-powered customer self-service and conversational solutions.

• Experience with AI model monitoring, evaluation, optimization and performance tuning.

• Understanding of Responsible AI practices, AI safety controls and governance principles.

Amazon Connect, Bedrock & Lex Development

• 5+ years of experience implementing contact center solutions utilizing Amazon Connect.

• Experience configuring and developing Amazon Connect Customer AI Agents.

• Extensive experience designing, developing and implementing Amazon Connect cloud-based contact center solutions.

• Experience integrating Amazon Bedrock services with Amazon Connect solutions.

• Experience developing conversational IVR, virtual assistants and voice-enabled self-service capabilities.

• Experience developing and supporting Amazon Lex bots including intents, slots, utterances, fulfillment logic and conversational workflows.

• Strong knowledge of Contact Lens, Contact Trace Records (CTR), reporting, dashboards, analytics and operational metrics.

• Experience developing contact flows, routing logic, customer journeys and escalation mechanisms.

• Knowledge of intelligent routing, intent recognition and conversational design concepts.

Prompt Engineering, Guardrails & MCP

• Experience designing, developing and optimizing prompts for conversational AI, virtual assistants and AI agents.

• Experience creating prompt engineering frameworks, templates and reusable design patterns.

• Experience implementing AI guardrails including content filtering, safety controls, grounding strategies, response validation and hallucination mitigation.

• Experience developing and supporting Model Context Protocol (MCP) server integrations.

• Experience implementing AI agent tool-calling, function-calling and orchestration capabilities.

• Experience integrating AI agents with enterprise tools, APIs and business applications.

• Experience evaluating AI response quality, prompt effectiveness and conversational outcomes.

• Experience implementing testing and monitoring frameworks for conversational AI solutions.

AWS, Cloud & Integration Technologies

• Experience with AWS services including Amazon Connect, Amazon Bedrock, Amazon Lex, AWS Lambda, API Gateway, Amazon DynamoDB, Amazon S3, CloudWatch, Event Bridge and IAM.

• Experience developing REST APIs, web services and enterprise integrations.

• Experience with serverless application development.

• Experience developing microservices and event-driven solutions.

• Experience implementing CI/CD pipelines and DevOps practices.

• Experience with Infrastructure as Code and cloud automation tools.

• Knowledge of AWS SageMaker for machine learning model development, deployment and monitoring.

• Knowledge of Azure OpenAI, Azure AI Services, Azure AI Foundry, Google Vertex AI, Gemini and equivalent AI platforms.

Development Technologies

• Strong experience with Python development.

• Experience with JavaScript, Node.js and related technologies.

• Experience with SQL and NoSQL databases.

• Experience utilizing Git, GitLab, Jenkins or similar DevOps tools.

• Experience troubleshooting and supporting cloud-native applications.

• Experience implementing secure software development practices.

Core Skills And Experience – 20 Points

8+ years of experience with:

• Software development and application integration.

• Developing and maintaining technical designs, specifications and documentation.

• Designing and implementing APIs and enterprise integrations.

• Agile software delivery methodologies.

• Troubleshooting and root cause analysis.

• Unit testing, integration testing and performance testing.

• Cloud-native application development.

• Supporting production environments and operational processes.

• Working closely with business stakeholders and technical teams.

• Evaluating new technology alternatives and vendor products.

• Providing recommendations for technical improvements and solution optimization.

• Designing, maintaining and managing automation solutions and operational processes.

AI / Contact Centre Domain Experience – 20 Points

• 5+ years of experience implementing conversational AI, IVR or conta