Senior AI Engineer

We are seeking a highly accomplished Senior AI Engineer to spearhead the hands-on development, configuration, and structural optimization of enterprise-scale Artificial Intelligence, Generative AI, and Conversational AI solutions. In this role, you will take technical ownership of building next-generation cloud contact centre capabilities—transforming traditional IVR tracks into intelligent, autonomous self-service ecosystems. Operating deep within the AWS ecosystem, you will develop complex serverless data pipelines, engineer sophisticated Agentic AI frameworks, implement precise Model Context Protocol (MCP) server integrations, and deploy robust guardrails to deliver secure, context-aware, and highly performant customer interactions.

Location:

Toronto, ON (Hybrid)

Duration: 9-month contract.

Advantages
Pioneering Cognitive Sandbox Access:
Command a hands-on engineering role deploying highly innovative AI technologies, including Agentic AI and the cutting-edge Model Context Protocol (MCP).

High-Scale Cloud Autonomy:
Build across a world-class AWS landscape, connecting deep learning model parameters directly with high-volume, real-time telephony pipelines.

Omnichannel Modernization Leadership:
Drive visible digital transformation, converting legacy citizen engagement models into empathetic, intuitive, and secure conversational interfaces.

Visible Strategic Alignment:
Expand your technical portfolio by aligning advanced AI product engineering with robust enterprise security, privacy, and public sector governance models.

Responsibilities
Generative AI & Agent Engineering:
Architect, configure, and scale autonomous AI Agents utilizing foundational large language models (LLMs like Anthropic Claude, OpenAI GPT, and Google Gemini) combined with tool-calling and function-calling orchestration frameworks.

Knowledge Retrieval & RAG Architectures:
Build and tune advanced Retrieval-Augmented Generation (RAG) structures, managing semantic search patterns, vector indexing, and pipeline connectivity into secure enterprise knowledge repositories.

Amazon Connect & Customer AI Integration:
Design, implement, and optimize cloud-based contact flows and intelligent routing logic leveraging Amazon Connect and Amazon Connect Customer AI Agents.

Conversational IVR & Bot Development:
Build production-grade Amazon Lex bots—defining intricate intents, slot mappings, conversational utterances, validation rules, and automated human-in-the-loop escalation workflows.

Prompt Engineering & Orchestration:
Author, evaluate, and continuously refine prompt engineering templates, system instructions, and multi-turn dialog structures to maximize response accuracy and conversational flow.

AI Guardrail & Security Governance:
Operationalize strict data defense metrics, content filters, grounding strategies, and response validation parameters to protect user privacy, prevent data leaks, and mitigate hallucinations.

Advanced Protocol (MCP) Server Integration:
Develop and maintain Model Context Protocol (MCP) server connectors to safely expose internal databases, APIs, and business applications to autonomous LLM actors.

Serverless Infrastructure & API Development:
Write and deploy secure serverless microservices and event-driven data workflows using Python, Node.js, AWS Lambda, API Gateway, Amazon DynamoDB, and Amazon S3.

Contact Center Analytics & Telemetry:
Utilize Contact Lens and Contact Trace Records (CTR) to audit real-time conversation metrics, sentiment analysis, speech-to-text outputs, and operational KPIs for continuous pipeline tuning.

CI/CD & Dev Ops Automation:
Manage source control branching and automated deployment operations via Git, Git Lab, Jenkins, Infrastructure as Code (IaC), and automated unit/integration testing…