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.
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.
