The Client is seeking a Senior IT Artificial Intelligence Architect to lead the architecture, design, implementation, and evolution of enterprise AI and Conversational AI solutions supporting modernization initiatives.

The successful candidate will define enterprise AI strategy, develop AI architecture standards, and deliver secure, scalable, accessible, and citizen-centric AI solutions aligned with enterprise architecture, security, accessibility, and governance requirements.

Key Responsibilities

Develop enterprise AI strategy, reference architectures, standards, and implementation roadmaps. Design conceptual, logical, and physical AI architectures. Lead the architecture and implementation of AI and Conversational AI solutions. Design enterprise AI solutions aligned with business objectives, enterprise architecture standards, security, accessibility, and cost models. Develop AI governance, lifecycle management, monitoring, and operational controls. Evaluate AI platforms, technologies, and vendor solutions. Provide architecture leadership throughout the solution delivery lifecycle. Conduct architecture reviews, technology assessments, and proof-of-concept initiatives. Produce technical architecture documentation, blueprints, and implementation specifications. Collaborate with business stakeholders, operational teams, and technical resources to translate business needs into scalable AI solutions.

Technical Requirements Enterprise AI Architecture

10+ years of enterprise architecture, solution design, and software delivery experience. 4+ years designing and implementing Enterprise AI and Machine Learning solutions. Experience developing: Enterprise AI strategies Reference architectures Architecture standards AI implementation roadmaps Experience with: Generative AI Large Language Models (LLMs) AI Agents / Agentic AI Intelligent Agents Experience designing: Retrieval-Augmented Generation (RAG) Vector databases Semantic search Enterprise knowledge repositories Experience implementing: AI governance frameworks Model lifecycle management Operational monitoring Responsible AI principles AI risk management Explainability Fairness Privacy controls Conversational AI & Prompt Engineering

4+ years designing: Conversational AI Chatbots Voicebots Intelligent Virtual Assistants Conversational IVR Experience designing: Customer journeys Conversation architecture Dialogue flows Intent models Utterances Entity structures Experience with: Prompt engineering Prompt orchestration Prompt governance Prompt optimization Experience implementing: AI guardrails Safety controls Content moderation Hallucination mitigation Grounding strategies Response validation Experience with: Human-in-the-loop AI AI quality evaluation AI testing frameworks Operational analytics Customer feedback optimization Experience designing multilingual, accessible, and citizen-focused AI solutions. Contact Centre Solutions

Experience designing and implementing AI-enabled contact centre platforms.

Experience Integrating With Technologies Such As:

Amazon Connect Genesys Cloud NICE CXone Cisco Contact Center Equivalent enterprise contact centre platforms

Experience Integrating AI Solutions With:

CRM systems Case Management systems Identity Management Workflow platforms Knowledge Management systems

Experience With:

API integrations Microservices Event-driven architecture Speech-to-Text Text-to-Speech Speech Analytics Sentiment Analysis

Knowledge Of:

Contact Centre Operations Customer Experience Citizen Engagement Digital Self-Service Contact Centre KPIs

Cloud & Technology

Experience With:

Cloud Platforms

AWS Microsoft Azure Equivalent Cloud Platforms

AI Platforms

Azure OpenAI Azure AI Services Amazon Bedrock Amazon Lex Amazon Connect Customer AI Agent Google Vertex AI

Programming Experience With:

Python Java JavaScript

DevOps Experience:

CI/CD Pipelines Infrastructure as Code Docker Kubernetes Cloud-native Architecture

Experience delivering highly available, scalable, and secure enterprise solutions.

Core Experience

Minimum 7 Years Of Experience:

Enterprise architecture Solution architecture Technical design Solution blueprints Architecture documentation Requirements analysis Business and operational analysis Customer experience design Architecture workshops Technology assessments Architecture governance Proof of Concepts Modernization roadmaps Target-state architecture Cybersecurity Accessibility Privacy compliance Technical risk management AI adoption strategies Service transformation Business process improvement

AI & Contact Centre Domain Experience

Demonstrated Experience With:

Conversational AI transformation AI Agent implementation Customer Experience modernization AI-powered citizen services IVR modernization Digital engagement platforms AI governance frameworks AI design standards Voice-enabled self-service Virtual Assistants Speech Analytics Customer Journey Analytics Sentiment Analysis AI safety controls AI risk mitigation Citizen-facing AI services

General Skills

Strong technical leadership Enterprise architecture expertise Strategic thinking Analytical and problem-solving skills AI safety and governance knowledge Excellent stakeholder management Workshop facilitation Executive communication Technical documentation Presentation skills Negotiation and consensus building Organizational and planning skills Ability to communicate complex AI concepts to technical and non-technical audiences Commitment to innovation and continuous improvement

Mandatory Requirements

Candidates must Demonstrate:

10+ years of enterprise architecture, solution design, and software delivery experience. 4+ years designing and implementing Enterprise AI and Machine Learning solutions. 4+ years designing Conversational AI, Chatbots, Voicebots, Virtual Assistants, or Conversational IVR solutions. Experience designing AI-enabled Contact Centre solutions. Experience integrating with Amazon Connect, Genesys Cloud, NICE CXone, Cisco Contact Center, or equivalent. Experience with AI platforms including Azure OpenAI, Azure AI Services, Amazon Bedrock, Amazon Lex, Google Vertex AI, or Amazon Connect Customer AI Agent. Experience leading Conversational AI, AI Agent, and Customer Experience transformation initiatives. Experience modernizing IVR, customer self-service, and digital engagement platforms.