Senior AI Engineer
Full-time
Upstaff
Senior AI Engineer
Location: Ontario (5 Days Onsite)
Duration: Long-term Contract
Submission Deadline: July 10, 2026 – 12:00 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 Node.js 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 Node.js.
- 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.
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