Expert, AI Architect Job Details | TRUE

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• Marketing

• Media, Creative & Design

• Sales / AE

• Frontline Sales (Telesales)

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• Network Engineering

• Information Technology

• Corporate Support

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Job Description

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Job Title:

Expert, AI Architect

Posting Start Date:

31/07/2026

Job Description

Job Summary

Define and lead enterprise AI architecture strategy, platforms, and standards to enable scalable, secure, and responsible AI adoption across business units. Accountable for end-to-end architecture governance, platform capability, and technical direction to ensure successful delivery of AI/GenAI solutions at scale and measurable business impact.

Job Responsibilities*

Accountability and activities

• Enterprise AI Architecture Strategy & Governance

• Define and own enterprise AI/GenAI architecture blueprint and standards

• Establish target-state architecture aligned with business and data strategy

• Act as ultimate architecture authority across all AI initiatives

• AI & GenAI Platform Ownership (Enterprise Level)

• Own strategy and design of enterprise AI platforms, shared services, and reusable components

• Ensure platforms support scalability, reusability, and cross-business adoption

• Drive platform investment priorities and roadmap

• Technical Leadership for AI Use Cases (Across BU)

• Provide technical direction and architecture governance across all AI use cases

• Ensure solutions are production-grade, scalable, and aligned with enterprise architecture

• Resolve complex architectural challenges and trade-offs

• End-to-End Architecture Quality & Performance Accountability

• Accountable for architecture quality, system performance, and reliability at scale

• Define standards for monitoring, optimization, and performance tuning

• Ensure time-to-value through efficient and reusable design

• Responsible AI, Security & Risk Architecture

• Define and enforce Responsible AI, security, and compliance architecture frameworks

• Ensure integration with enterprise risk, data governance, and cybersecurity standards

• Act as technical authority for AI risk mitigation

• Technology Strategy & Ecosystem Leadership

• Own evaluation and selection of AI technologies, tools, and platforms

• Define build vs buy vs partner strategy

• Lead strategic alignment with vendors, partners, and internal engineering teams

• Standards, Reusability & Engineering Excellence

• Establish enterprise-wide architecture patterns, design standards, and reusable assets

• Drive consistency and efficiency across AI solutions

• Promote engineering best practices and technical excellence

Qualifications

Qualification

• IT, Data Science, AI – MBA is a plus

Experience

• Experience with MLOps/DevOps (CI/CD pipelines, monitoring, model deployment)

• Experience working in complex enterprise environments with data privacy, security, and regulatory requirements

• Hands-on experience with LLMs (OpenAI, Azure OpenAI, Claude, Llama, or equivalents)

Certification

Skill and Knowledge

• Strong background in AI architecture, ML engineering, GenAI system design, or Applied AI

• Deep understanding of RAG, vector stores, embeddings, prompt engineering, guardrails

• Excellent communicator capable or bridging technical teams and business sponsors

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