RQ11252 - Sr. AI Engineer
- Toronto, ON, Canada
$72.14 to $108.22 CAD / hour · Full-time
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Job details
- Pay
- $72.14 to $108.22 CAD / hour
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
RQ11252 - Sr. AI Engineer
11-month contract (226 business days) - possible extension
ONSITE 5 days - 222 Jarvis St
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.
AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.
Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.
INCORPORATED RATE RANGE (7.25 billable hours per day)
- $90.18/hr - $108.22/hr Inc.
T4 RATE RANGE (7.25 billable hours per day)
- $72.14/hr - $86.58/hr T4
More about this job
Responsibilities
The Senior AI Engineer at Source Code will build, configure and support AI-powered phone and chat solutions, including voicebots and AI agents. The work also covers writing prompts, connecting systems and documenting the solutions.
Requirements
Candidates need 5+ years building AI and machine learning solutions and 5+ years on contact centre or IVR systems, including Amazon Connect. Hands-on work with generative AI, LLMs, Bedrock, Lex and Python is required.
Skills
- Amazon Connect
- Amazon Bedrock
- Amazon Lex
- AWS Lambda
- API Gateway
- Amazon DynamoDB
- Amazon S3
- CloudWatch
- EventBridge
- IAM
- Python
- JavaScript
- Node.js
- Azure OpenAI
- Azure AI Foundry
- Google Vertex AI
- Gemini
- Large Language Models
- Retrieval Augmented Generation
- Model Context Protocol
- prompt engineering
- conversational AI
- IVR design
- AI agent orchestration
Categories
- Technology
- Software
- Data & Analytics
- Customer Service & Support
Keywords
- Amazon Connect
- Amazon Bedrock
- Amazon Lex
- AWS Lambda
- API Gateway
- DynamoDB
- S3
- CloudWatch
- EventBridge
- IAM
- Python
- Node.js
- JavaScript
- Azure OpenAI
- Google Vertex AI
- Gemini
- LLM
- RAG
- prompt engineering
- MCP
Seniority
Senior
Tools
- Amazon Connect
- Amazon Bedrock
- Amazon Lex
- AWS Lambda
- API Gateway
- Amazon DynamoDB
- Amazon S3
- CloudWatch
- EventBridge
- IAM
Languages
- English