About the role
Please send your resume at anila.dada@amyantek.com if you are interested in this 08 months contract with Ontario Public Service (Ministry of Public and Business Service Delivery and Procurement) with a possibility of extension, If you are not interested, please feel free to pass it in your network for anyone looking for work.
Job Title: RQ11252 - Senior AI Engineer Working Status: On-Site Location: 222 Jarvis Street, Toronto Hours per day: 7.25
Must Have: 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, CloudWatch, EventBridge 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.
Nice to have: Prior OPS or Public sector exp.
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, 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.
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 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 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, EventBridge 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.
AI / Contact Centre Domain Experience – 20 Points 5+ years of experience implementing conversational AI, IVR or contact centre solutions. Experience developing AI-driven customer service and citizen-facing solutions. Experience implementing AI Agents, virtual assistants and conversational self-service solutions. Experience utilizing Amazon Connect Customer AI Agents in enterprise environments. Experience implementing Retrieval Augmented Generation (RAG) and enterprise knowledge retrieval capabilities. Experience with speech analytics, sentiment analysis and customer experience optimization technologies. Knowledge of contact centre metrics, reporting and operational analytics. Experience utilizing Contact Lens and CTR reporting to analyze customer interactions and improve outcomes.
General Skills – 10 Points Proven technical leadership skills with ability to identify areas for improvement and recommend solutions.
Public Sector Experience Knowledge of Public Sector Enterprise Architecture artifacts (or similar), processes and practices.
Not the right fit? Search for AI Engineer jobs in Toronto, Ontario, Canada
About Amyantek
Amyantek is a Premier IT recruiting company with a focus on the Canadian Market. Our goal is to provide the highest quality of service to both our clients and our professional candidates No matter what the requirement, Amyantek is committed to exceeding our clients needs with the best quality of candidates who are pre- qualified with integrity and honesty at a cost effective solution. We are continuously looking for new ways to provide candidates who fit the complete requirements requested by our clients.
Our services which distinguishes us to our clients
- Response to client within 8 hours
- Candidate submission within 48 hours of receiving request
- Resume submission to request= 3:1
- Contractor Replacement guarantee: 10 days
- Full time replacement Guarantee: 90 days
Similar Jobs
About the role
Please send your resume at anila.dada@amyantek.com if you are interested in this 08 months contract with Ontario Public Service (Ministry of Public and Business Service Delivery and Procurement) with a possibility of extension, If you are not interested, please feel free to pass it in your network for anyone looking for work.
Job Title: RQ11252 - Senior AI Engineer Working Status: On-Site Location: 222 Jarvis Street, Toronto Hours per day: 7.25
Must Have: 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, CloudWatch, EventBridge 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.
Nice to have: Prior OPS or Public sector exp.
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, 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.
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 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 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, EventBridge 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.
AI / Contact Centre Domain Experience – 20 Points 5+ years of experience implementing conversational AI, IVR or contact centre solutions. Experience developing AI-driven customer service and citizen-facing solutions. Experience implementing AI Agents, virtual assistants and conversational self-service solutions. Experience utilizing Amazon Connect Customer AI Agents in enterprise environments. Experience implementing Retrieval Augmented Generation (RAG) and enterprise knowledge retrieval capabilities. Experience with speech analytics, sentiment analysis and customer experience optimization technologies. Knowledge of contact centre metrics, reporting and operational analytics. Experience utilizing Contact Lens and CTR reporting to analyze customer interactions and improve outcomes.
General Skills – 10 Points Proven technical leadership skills with ability to identify areas for improvement and recommend solutions.
Public Sector Experience Knowledge of Public Sector Enterprise Architecture artifacts (or similar), processes and practices.
Not the right fit? Search for AI Engineer jobs in Toronto, Ontario, Canada
About Amyantek
Amyantek is a Premier IT recruiting company with a focus on the Canadian Market. Our goal is to provide the highest quality of service to both our clients and our professional candidates No matter what the requirement, Amyantek is committed to exceeding our clients needs with the best quality of candidates who are pre- qualified with integrity and honesty at a cost effective solution. We are continuously looking for new ways to provide candidates who fit the complete requirements requested by our clients.
Our services which distinguishes us to our clients
- Response to client within 8 hours
- Candidate submission within 48 hours of receiving request
- Resume submission to request= 3:1
- Contractor Replacement guarantee: 10 days
- Full time replacement Guarantee: 90 days