The Enterprise Conversational AI & Contact Centre Transformation Architect is a senior consulting and technology leadership role responsible for shaping and delivering enterprise customer experience (CX) transformation through modern Contact Centre platforms, Conversational AI, and Generative AI. The role operates at the intersection of business strategy, customer experience, and enterprise technology — translating executive ambition into deployable, secure, and commercially sound architectures.

Partnering directly with C-suite and senior business stakeholders, the Architect defines target operating models, technology roadmaps, and reference architectures, then provides hands-on technical leadership across the full delivery lifecycle — from discovery and vendor selection through design, build, deployment, and hypercare. The role is pivotal in large-scale, often multi-country programmes and is expected to bring deep domain authority in omnichannel contact centre platforms, voice and digital automation, and applied AI, ideally within regulated industries such as Financial Services.

2.1  Executive Advisory & Transformation Strategy

• Trusted advisor: Advise C-suite and senior executives on Contact Centre, Conversational AI, and CX transformation strategy, positioning technology as an enabler of measurable business outcomes.
• Strategy & roadmaps: Develop enterprise CX and automation strategies, multi-year transformation roadmaps, target operating models (TOM), and capability maturity assessments.
• Business cases: Build compelling investment business cases and value narratives that secure executive sponsorship and funding.
• Thought leadership: Represent the practice in executive briefings, industry forums, and client pursuits; shape points of view on emerging CX and AI trends.

2.2  Discovery, Requirements & Vendor Selection

• Discovery leadership: Lead discovery workshops and current-state assessments to define business, functional, non-functional, and integration requirements.
• Journey analysis: Map customer and agent journeys, identify pain points, and prioritise automation and self-service opportunities using interaction and speech analytics.
• Sourcing: Own end-to-end RFI / RFP development, vendor evaluation, proof-of-concept design, scoring frameworks, and technology selection recommendations.
• Commercial evaluation: Assess vendor commercial models, licensing, and total cost of ownership to inform balanced build-vs-buy and platform decisions.

2.3  Solution Architecture & Technology Design

• Reference architecture: Architect end-to-end omnichannel Contact Centre solutions spanning voice, chat, email, messaging, and social channels.
• Integration design: Define integration architecture across CRM, core systems, data platforms, and enterprise services using APIs, microservices, and event-driven patterns.
• Non-functional design: Govern security, resilience, scalability, performance, observability, and disaster recovery across the solution estate.
• Cloud & platform: Design cloud-native and hybrid deployments aligned to enterprise cloud, data residency, and regulatory requirements.

2.4  Conversational AI & Generative AI

• Conversational strategy: Define Conversational AI, Talkbot, Voicebot, IVA, and Agent Assist strategies and design conversation flows, intents, and dialogue management.
• Generative AI: Architect Generative AI capabilities using LLMs, Retrieval-Augmented Generation (RAG), and AI agents for automation, knowledge, and agent augmentation.
• Responsible AI: Embed responsible-AI, guardrail, evaluation, and governance practices covering accuracy, bias, hallucination control, and auditability.
• Optimisation: Establish frameworks for continuous tuning of NLU, containment, deflection, and automation performance post go-live.

2.5  Delivery Leadership & Programme Execution

• Technical leadership: Provide architectural and technical leadership across design, build, testing, deployment, and hypercare phases.
• Multi-country delivery: Lead large-scale, multi-market programmes, ensuring consistency of architecture while accommodating local regulatory and language requirements.
• Quality assurance: Own architecture governance, design authority participation, and technical risk management throughout delivery.
• Mentoring: Guide and uplift solution architects, designers, and delivery teams; establish reusable assets, patterns, and accelerators.

2.6  Commercial, Value Realisation & Governance

• Financial modelling: Develop financial business cases covering ROI, TCO, productivity gains, deflection savings, and benefits realisation.
• Value tracking: Define KPIs and benefit-tracking mechanisms and report value realisation to executive stakeholders.
• Risk & compliance: Ensure solutions meet enterprise security, data privacy, and regulatory obligations (e.g. PDPA, MAS guidelines in Financial Services).
• Governance: Contribute to steering committees and design authorities, providing clear decision papers and trade-off analysis.

The role demands broad architectural range across contact centre platforms, conversational and generative AI, integration, and cloud, combined with the consulting skills to translate this into business value.

Contact Centre & CX Platforms

• Hands-on architecture experience with one or more leading CCaaS / Contact Centre platforms: Genesys Cloud CX, NICE CXone, Amazon Connect, Cisco (Webex CC), Five9, or Talkdesk.
• Omnichannel routing, IVR / IVA, CTI, workforce engagement management (WEM / WFM), quality management, and real-time / historical reporting.

Conversational & Generative AI

• Conversational AI design and platforms (e.g. Cognigy.AI, Kore.ai, Google Dialogflow CX, Microsoft Copilot Studio, Amazon Lex).
• Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, agentic AI, embeddings, and vector stores.
• Speech and interaction analytics, NLU tuning, sentiment analysis, and automation performance optimisation.

Integration, Cloud & Engineering

• CRM integration (Salesforce, Microsoft Dynamics, ServiceNow) and core / back-office system integration.
• APIs, microservices, event-driven architecture, and iPaaS / middleware patterns.
• Cloud architecture on AWS, Microsoft Azure, or Google Cloud, including security, networking, and data residency considerations.

Security, Data & Governance

• Enterprise security, identity, encryption, and resilience patterns; observability and monitoring.
• Data privacy and regulatory compliance (PDPA, GDPR, MAS TRM / financial-services regulations); responsible-AI governance.

Education

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline (essential).
• Master's degree or MBA (preferred).

Experience — Essential

• 12–20+ years in enterprise technology, consulting, or solution architecture, with a substantial track record in Contact Centre / CX transformation.
• Demonstrated leadership of Conversational AI and/or Contact Centre modernisation initiatives from strategy through implementation.
• Proven enterprise-architecture experience and executive-level advisory and stakeholder management.
• Experience developing business cases, operating models, and technology roadmaps for large organisations.

Experience — Desirable

• Financial Services (banking, insurance, wealth) or other regulated-industry experience.
• Large-scale, multi-country / multi-market programme delivery across APAC or globally.
• Applied Generative AI delivery in a production enterprise context.
• Pre-sales, RFP response, and practice-development contribution.

Certifications are indicative of depth and are preferred rather than mandatory; relevant vendor certifications should be weighted according to the platforms in scope for the engagement.

• Architecture: TOGAF (Enterprise Architecture).
• Delivery: PMP, PRINCE2, or SAFe / Agile certifications.
• Cloud: AWS Solutions Architect – Professional; Microsoft Azure Solutions Architect Expert; Google Cloud Professional Cloud Architect.
• AI: Azure AI Engineer Associate; AWS Certified Machine Learning; Google Cloud Generative AI credentials.
• Contact Centre: Genesys Cloud CX, NICE CXone, Amazon Connect, or equivalent platform certifications.

• Executive presence: Credibility and gravitas to advise and influence C-suite and senior stakeholders.
• Strategic thinking: Ability to connect business strategy, customer experience, and technology into a coherent transformation vision.
• Consulting excellence: Structured problem-solving, storytelling, and high-quality executive communication (written and verbal).
• Commercial acumen: Sound judgement on cost, value, risk, and trade-offs in complex decisions.
• Stakeholder management: Skill in building trust and alignment across business, technology, vendor, and delivery stakeholders.
• Leadership & mentoring: Capacity to lead diverse teams, develop talent, and foster a culture of innovation.
• Adaptability: Comfort operating amid ambiguity, competing priorities, and rapidly evolving AI technology.
• Cognigy, Voice and Chat

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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