RQ11252 - Sr. AI Engineer
11-month contract (226 business days) - possible extension
ONSITE 5 days - 222 Jarvis St
Must Have:
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5+ years of experience developing Artificial Intelligence and Machine Learning solutions.
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Hands-on experience implementing Generative AI and Large Language Model (LLM) solutions in enterprise environments.
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5+ years of experience implementing contact centre solutions utilizing Amazon Connect.
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Experience configuring and developing Amazon Connect Customer AI Agents.
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Extensive experience designing, developing and implementing Amazon Connect cloud-based contact centre solutions.
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Experience integrating Amazon Bedrock services with Amazon Connect solutions.
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Experience designing, developing and optimizing prompts for conversational AI, virtual assistants and AI agents.
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Experience with AWS services including Amazon Connect, Amazon Bedrock, Amazon Lex, AWS Lambda, API Gateway, Amazon DynamoDB, Amazon S3, CloudWatch, EventBridge and IAM.
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Knowledge of Azure OpenAI, Azure AI Services, Azure AI Foundry, Google Vertex AI, Gemini and equivalent AI platforms.
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Strong experience with Python development.
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Experience with JavaScript, Node.js and related technologies.
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5+ years of experience implementing conversational AI, IVR or contact centre solutions.
Nice to have:
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Prior OPS or Public sector exp.
Responsibilities:
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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.
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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.
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Develops and maintains integrations between AI solutions, contact centre platforms, enterprise applications, knowledge repositories, APIs, workflow systems and cloud services.
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Designs, develops and optimizes prompts, prompt templates, orchestration logic, retrieval mechanisms and AI guardrails to ensure secure, accurate and effective AI interactions.
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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.
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Configures and develops Amazon Lex bots including intents, slots, utterances, fulfillment logic, conversational flows and escalation mechanisms.
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Works closely with architects, business analysts, contact centre teams and stakeholders to implement scalable, secure and reliable AI solutions.
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Develops technical specifications, implementation documentation, deployment procedures and operational support materials.
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Participates in testing, troubleshooting, deployment and ongoing optimization of AI-powered contact centre solutions.
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Ensures solutions comply with organizational standards for security, privacy, accessibility and Responsible AI.
General Skills:
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Knowledge of Artificial Intelligence (AI), Generative AI, Machine Learning (ML), Large Language Models (LLMs), Agentic AI and Conversational AI technologies.
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Knowledge of Retrieval Augmented Generation (RAG), prompt engineering, vector databases and semantic search technologies.
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Knowledge of Amazon Connect, Amazon Bedrock, Amazon Lex and AWS cloud services.
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Knowledge of MCP (Model Context Protocol) concepts, tool integration patterns and AI agent orchestration.
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Knowledge of cloud computing technologies, APIs, microservices and event-driven architectures.
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Ability to gather technical requirements and translate them into scalable AI solutions.
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Ability to develop technical designs, implementation specifications and support documentation.
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Knowledge of technology trends, emerging AI capabilities and industry best practices.
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Excellent analytical, problem-solving and troubleshooting skills.
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Excellent verbal and written communication skills, interpersonal skills and teamwork skills.
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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)
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$90.18/hr - $108.22/hr Inc.
T4 RATE RANGE (7.25 billable hours per day)
