Senior AI Engineer

Senior AI Engineer

Location: Ontario (5 Days Onsite)

Duration: Long-term Contract

Submission Deadline: July:00 PM EST

Job Overview

We are seeking an experienced Senior AI Engineer to design develop implement and support enterprise Artificial Intelligence (AI) Generative AI and Conversational AI solutions. The successful candidate will build AI-powered customer service solutions including AI Agents virtual assistants voicebots and conversational IVR applications using Amazon Connect Amazon Bedrock Amazon Lex Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and AWS cloud services . This role requires close collaboration with architects business analysts and business stakeholders to deliver scalable secure and high-performing AI solutions for large enterprise environments.

Key Responsibilities

• Design develop implement and support AI Generative AI Conversational AI and Agentic AI solutions.
  
• Build AI-powered conversational IVR systems virtual assistants voicebots AI Agents and self-service solutions using Amazon Connect Customer AI Agents Amazon Bedrock and Amazon Lex.
  
• Develop AI Agents leveraging Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) tool-calling frameworks and enterprise knowledge repositories.
  
• Design and optimize prompts prompt templates orchestration logic AI guardrails and grounding strategies to improve response quality and minimize hallucinations.
  
• Configure and develop Amazon Lex bots including intents slots fulfillment logic conversational workflows and escalation mechanisms.
  
• Integrate AI solutions with contact centre platforms enterprise applications REST APIs workflow systems cloud services and knowledge repositories.
  
• Develop serverless applications microservices event-driven solutions and enterprise integrations using AWS services.
  
• Prepare technical designs implementation documentation deployment procedures and operational support documentation.
  
• Participate in solution testing deployment production support troubleshooting and performance optimization.
  
• Ensure AI solutions comply with security privacy accessibility governance and Responsible AI standards.
  

Required Technical Skills

Artificial Intelligence & Generative AI

• 5 years of experience developing AI and Machine Learning solutions.
  
• Hands-on experience implementing enterprise Generative AI and LLM-based applications.
  
• Experience developing AI Agents using OpenAI GPT Anthropic Claude Google Gemini Meta Llama or equivalent foundation models.
  
• Strong experience implementing Retrieval-Augmented Generation (RAG) prompt engineering vector databases semantic search AI guardrails and Responsible AI practices.
  
• Experience evaluating AI models optimizing prompts monitoring AI performance and improving conversational quality.
  

Amazon Connect & Conversational AI

• 5 years of experience implementing Amazon Connect contact centre solutions.
  
• Experience developing Amazon Connect Customer AI Agents.
  
• Extensive experience with Amazon Bedrock integration.
  
• Experience building conversational IVR virtual assistants voicebots and customer self-service solutions.
  
• Experience developing Amazon Lex bots including intents slots utterances fulfillment logic and conversational workflows.
  
• Experience with Contact Lens Contact Trace Records (CTR) reporting analytics routing logic and customer journey design.
  

AWS & Cloud Technologies

Experience with:

• Amazon Connect
  
• Amazon Bedrock
  
• Amazon Lex
  
• AWS Lambda
  
• API Gateway
  
• DynamoDB
  
• Amazon S3
  
• CloudWatch
  
• EventBridge
  
• IAM
  
• SageMaker
  
• Serverless applications
  
• Infrastructure as Code (IaC)
  
• CI/CD and DevOps practices
  

Development Skills

• Strong Python programming experience.
  
• JavaScript and development.
  
• REST APIs and web services.
  
• SQL and NoSQL databases.
  
• Git GitLab Jenkins or similar DevOps tools.
  
• Cloud-native application development and troubleshooting.
  

Additional AI Platforms

Knowledge of:

• Azure OpenAI
  
• Azure AI Services
  
• Azure AI Foundry
  
• Google Vertex AI
  
• Google Gemini
  

Core Experience

• 8 years of software development and application integration experience.
  
• API and enterprise integration development.
  
• Cloud-native application development.
  
• Agile software delivery.
  
• Unit integration and performance testing.
  
• Production support and troubleshooting.
  
• Technical documentation and solution design.
  
• Automation and operational process improvement.
  

Preferred Domain Experience

• 5 years implementing conversational AI IVR or contact centre solutions.
  
• Experience delivering AI-powered customer service and citizen-facing solutions.
  
• Experience implementing AI Agents and enterprise conversational platforms.
  
• Experience with RAG implementations and enterprise knowledge retrieval.
  
• Contact Lens analytics speech analytics sentiment analysis and customer experience optimization.
  
• Experience delivering large enterprise IT projects.
  

Public Sector Experience (Preferred)

• Ontario Public Sector (OPS) or other government experience.
  
• Public Sector Enterprise Architecture.
  
• Unified I&IT Project Methodology.
  
• Government SDLC and architecture standards.
  
• Experience working in highly regulated environments and large digital transformation initiatives.
  

Must-Have Skills

• 5 years of AI/ML development experience.
  
• Enterprise Generative AI and LLM implementation.
  
• 5 years of Amazon Connect development.
  
• Amazon Connect Customer AI Agents.
  
• Amazon Bedrock and Amazon Lex.
  
• Prompt Engineering and RAG implementation.
  
• AWS cloud services (Lambda API Gateway DynamoDB S3 CloudWatch EventBridge IAM).
  
• Strong Python development.
  
• JavaScript and .
  
• Conversational AI IVR and AI Agent development.
  

Nice-to-Have Skills

• Ontario Public Sector (OPS) experience.
  
• Azure OpenAI and Azure AI Foundry.
  
• Google Vertex AI and Gemini.
  
• AWS SageMaker.
  
• Contact Lens analytics.
  
• MCP (Model Context Protocol).
  
• AI Guardrails and Responsible AI implementation.
  
• Infrastructure as Code and DevOps practices.
  

Required Skills:

Mandatory Skills & Experience Cloud & Infrastructure Engineering Proven experience designing deploying and maintaining hybrid infrastructure environments across: Microsoft Azure Amazon Web Services (AWS) Linux-based environments SaaS solutions COTS solutions On-premises systems Strong experience with Windows and Linux server administration including: CentOS Ubuntu CoreOS Experience supporting modern web technology stacks including: LAMP MEAN Drupal Elasticsearch Experience with virtualization platforms storage solutions networking and enterprise infrastructure services. Strong understanding of cloud architecture frameworks technology assessments and cloud solution strategies. Identity & Access Management Experience managing and supporting identity and access controls using: Active Directory Microsoft Entra ID Enterprise IAM solutions Experience implementing authentication authorization and access governance controls. DevOps & CI/CD Automation Strong experience designing building and administering CI/CD pipelines for continuous integration and deployment. Experience with development and collaboration tools including: Azure DevOps JIRA Confluence Maven Jenkins Experience with Infrastructure as Code (IaC) and version-controlled deployments. Strong knowledge of DevOps methodologies automation frameworks and release management best practices. Experience with containerization and orchestration technologies including: Docker Kubernetes AKS / EKS Experience automating operational and compliance-related activities using: PowerShell Bash Python Programming & Scripting Hands-on experience with scripting and programming languages including: Python Bash PHP Java JavaScript Experience with build and configuration management tools including: Git Ansible Chef Puppet API & Integration Experience Experience building and consuming APIs and integration endpoints. Experience integrating cloud platforms enterprise systems and deployment pipelines. Understanding of enterprise integration architectures and service-based deployments. Security Monitoring & Compliance Strong understanding of infrastructure security cloud security and DevOps security best practices including: Least privilege access Secure logging Secrets management Vulnerability remediation Experience with security and monitoring tools including: Radware Dynatrace Splunk Azure Monitor / Log Analytics AWS CloudTrail / CloudWatch ELK Stack / SIEM solutions Experience implementing centralized audit logging and monitoring across enterprise platforms. Ability to support internal and external audits through reporting evidence gathering and log analysis. Experience supporting forensic investigations audit remediation and incident reviews. Familiarity with Government of Ontario I&IT Directives Policies and Information Technology Standards. Release Management & Operational Support Experience coordinating infrastructure and application releases across technical and business teams. Knowledge of change management processes deployment approvals rollback planning and release governance. Experience with release readiness reviews deployment validation and post-release monitoring. Ability to maintain release documentation operational records and audit artifacts. Project Management & Communication Strong project planning coordination and resource management skills. Experience with roadmap planning modernization initiatives and infrastructure investment planning. Strong stakeholder communication and cross-functional collaboration skills. Ability to explain complex technical concepts to business users leadership teams and non-technical stakeholders. Strong documentation reporting presentation and technical writing skills. Mobile Device Management Experience supporting mobile device management for cellular devices and tablets across multiple platforms and operating systems. Desirable Skills Experience supporting Government of Ontario enterprise environments. Experience with enterprise modernization and cloud transformation initiatives. Familiarity with enterprise governance compliance frameworks and audit readiness programs. Experience mentoring and coaching junior DevOps and infrastructure resources. Strong understanding of operational resilience disaster recovery and enterprise monitoring strategies. Additional Information Strong hands-on DevOps cloud infrastructure automation CI/CD security and enterprise release management experience is mandatory for this role.