RQ11252 Sr. AI Engineer

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 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