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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 developin**g 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**
Key Responsibilities
Develop, configure, and support AI, Generative AI, and Conversational AI solutions based on business requirements.
Design and support AI-powered conversational IVR solutions, virtual assistants, and voicebots using Amazon Connect and Bedrock.
Develop integrations between AI solutions, contact center platforms, enterprise applications, and cloud services.
Design and optimize prompts, prompt templates, orchestration logic, and AI guardrails for secure interactions.
Develop and support AI Agents leveraging Large Language Models, RAG, and MCP servers.
Configure and develop Amazon Lex bots including intents, slots, and conversational flows.
Collaborate with architects and stakeholders to implement scalable and secure AI solutions.
Develop technical specifications, implementation documentation, and deployment procedures.
Participate in testing, troubleshooting, and ongoing optimization of AI-powered contact center solutions.
Ensure solutions comply with organizational standards for security, privacy, and Responsible AI.
Skills Required
Artificial IntelligenceMachine LearningGenerative AILarge Language ModelsAmazon ConnectAmazon BedrockAmazon LexAWS LambdaAPI GatewayAmazon DynamoDBAmazon S3CloudWatchEventBridgeIAMPythonJavaScriptNode.jsAzure OpenAIAzure AI ServicesAzure AI FoundryGoogle Vertex AIGeminiRetrieval Augmented GenerationPrompt EngineeringVector DatabasesSemantic SearchModel Context ProtocolMicroservicesEvent-driven architecturesAnalytical skillsProblem-solvingTroubleshootingVerbal communicationWritten communicationInterpersonal skillsTeamworkAbility to meet deadlinesOPSPublic sector experience
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