About the role
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 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: Public sector exp. Skill Set Requirements: Technical Skills: 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: 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: 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. Experience with large, complex IT projects. General Skills: Proven technical leadership skills with ability to identify areas for improvement and recommend solutions. Exceptional analytical, problem-solving and decision-making skills. Demonstrated strong troubleshooting and critical-thinking experience. Demonstrated strong interpersonal, verbal and written communication and presentation skills. Ability to work independently and collaboratively within multidisciplinary teams. Strong organizational, planning and time management skills. Demonstrated commitment to innovation, continuous improvement and quality service delivery. Ability to learn and adapt to emerging AI technologies and industry trends. Public Sector Experience: Knowledge of Public Sector Enterprise Architecture artifacts (or similar), processes and practices. Experience producing technical documentation that complies with industry-standard practices. Knowledge and experience implementing solutions within government or highly regulated environments.
Not the right fit? Search for Artificial Intelligence Engineer jobs in Toronto, Ontario, Canada
About Maarut Inc
Maarut Inc is a Canadian company helping organizations fulfill staffing solutions based on current, future and ongoing needs of market.
Check out the new job openings https://careers.maarutinc.com/jobs/Careers
Register with us : https://careers.maarutinc.com/candidateportal?register=true
Finding IT talent is a significant challenge in today’s business landscape. Maarut Inc has the unique methodology for identifying, acquiring and retaining top IT resources across various areas of expertise. We help companies hire better candidate, and make meaningful relationships between the job seeker and the employers.
Engaging the right people with the right skills and experience can make or break your company. As an employment agency representing many talented skilled professionals who can pinch in immediate on projects, fill team gaps and support growth, we quickly deliver the exact talent you require for your needs. Our goal is to craft flexible, targeted solutions as per your staffing needs by matching the right people, to the right job, at the right time. Our recruiters are savvy insiders, having worked in the industries for which they recruit. They’ve walked in your shoes, so they understand the exciting, satisfying and challenging aspects of each job. They understand what makes IT placement unique, team dynamics and how each company and candidate are special. Our recruitment team is specialized in identifying the top technical consultants with skill sets such as: Application Development Big Data Business Intelligence/Reporting Business Systems Analysis Data Warehousing Database Devops Engineers ERP/SCM/CRM Guidewire consultants Incident management Professionals Infrastructure Mainframe Project Management Quality Assurance Salesforce consultants Web Development/Design
Apply for jobs now or Register yourself now https://www.maarutinc.com/applyjobs
Similar Jobs
About the role
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 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: Public sector exp. Skill Set Requirements: Technical Skills: 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: 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: 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. Experience with large, complex IT projects. General Skills: Proven technical leadership skills with ability to identify areas for improvement and recommend solutions. Exceptional analytical, problem-solving and decision-making skills. Demonstrated strong troubleshooting and critical-thinking experience. Demonstrated strong interpersonal, verbal and written communication and presentation skills. Ability to work independently and collaboratively within multidisciplinary teams. Strong organizational, planning and time management skills. Demonstrated commitment to innovation, continuous improvement and quality service delivery. Ability to learn and adapt to emerging AI technologies and industry trends. Public Sector Experience: Knowledge of Public Sector Enterprise Architecture artifacts (or similar), processes and practices. Experience producing technical documentation that complies with industry-standard practices. Knowledge and experience implementing solutions within government or highly regulated environments.
Not the right fit? Search for Artificial Intelligence Engineer jobs in Toronto, Ontario, Canada
About Maarut Inc
Maarut Inc is a Canadian company helping organizations fulfill staffing solutions based on current, future and ongoing needs of market.
Check out the new job openings https://careers.maarutinc.com/jobs/Careers
Register with us : https://careers.maarutinc.com/candidateportal?register=true
Finding IT talent is a significant challenge in today’s business landscape. Maarut Inc has the unique methodology for identifying, acquiring and retaining top IT resources across various areas of expertise. We help companies hire better candidate, and make meaningful relationships between the job seeker and the employers.
Engaging the right people with the right skills and experience can make or break your company. As an employment agency representing many talented skilled professionals who can pinch in immediate on projects, fill team gaps and support growth, we quickly deliver the exact talent you require for your needs. Our goal is to craft flexible, targeted solutions as per your staffing needs by matching the right people, to the right job, at the right time. Our recruiters are savvy insiders, having worked in the industries for which they recruit. They’ve walked in your shoes, so they understand the exciting, satisfying and challenging aspects of each job. They understand what makes IT placement unique, team dynamics and how each company and candidate are special. Our recruitment team is specialized in identifying the top technical consultants with skill sets such as: Application Development Big Data Business Intelligence/Reporting Business Systems Analysis Data Warehousing Database Devops Engineers ERP/SCM/CRM Guidewire consultants Incident management Professionals Infrastructure Mainframe Project Management Quality Assurance Salesforce consultants Web Development/Design
Apply for jobs now or Register yourself now https://www.maarutinc.com/applyjobs