AI Engineer – Senior; RQGovernment Services Integration Cluster

Senior AI Engineer – Responsibilities / Assignment Responsibilities 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.

• 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.

• 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.
• Experience building and supporting AI Agents utilizing foundation models and agent orchestration frameworks.
• Experience implementing Retrieval Augmented Generation (RAG) architectures utilizing enterprise knowledge repositories.
• Experience working with foundation models including Anthropic Claude, OpenAI GPT, Google Gemini, Meta Llama or equivalent technologies.
• Experience evaluating and selecting AI technologies, foundation models and AI services based on business requirements.
• Experience designing and implementing AI‑powered customer self‑service and conversational solutions.
• Experience with AI model monitoring, evaluation, optimisation and performance tuning.
• Understanding of Responsible AI practices, AI safety controls and governance principles.

• 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…