Role Overview
Our client, a growing technology-driven organization, is looking for an experienced AI Architect to lead the design and implementation of enterprise AI solutions, including Generative AI, Large Language Models (LLMs), AI agents and intelligent automation.
The role involves defining AI architecture, selecting appropriate technologies, integrating AI capabilities into enterprise applications and ensuring solutions are scalable, secure and commercially viable. The successful candidate will work closely with business stakeholders, data science teams, software engineers and cloud architects to translate business requirements into practical AI solutions.
The ideal candidate will bring strong experience in enterprise architecture, machine learning, cloud-based AI platforms and emerging AI technologies, with the ability to drive AI adoption and innovation across business functions.
Key Roles & Responsibilities
- Define enterprise AI architecture, technology strategy and implementation roadmaps.
- Design scalable AI and Generative AI solutions for complex business requirements.
- Architect LLM-based applications, Retrieval-Augmented Generation (RAG) and AI agent solutions.
- Evaluate AI models, frameworks, vector databases and orchestration technologies.
- Integrate AI capabilities with enterprise applications, APIs and data platforms.
- Design secure and scalable AI solutions across AWS, Azure or Google Cloud.
- Establish AI governance, responsible AI, data privacy and security standards.
- Optimise model performance, latency, accuracy and infrastructure costs.
- Collaborate with data scientists, software engineers, product owners and business teams.
- Lead AI proof of concepts, solution evaluations and production deployments.
- Define reusable AI components, reference architectures and engineering standards.
- Mentor technical teams and guide the adoption of emerging AI technologies.
Preferred Qualifications
- Bachelor's or master's degree in Computer Science, AI, Data Science or a related field.
- 10–15+ years of overall technology experience, including relevant AI architecture experience.
- Strong experience designing and deploying enterprise AI or machine learning solutions.
- Hands-on exposure to Generative AI, LLMs and production AI applications.
- Experience with cloud-based AI platforms and enterprise integration patterns.
Key Skills & Attributes
- Enterprise AI architecture and solution design.
- Generative AI, LLMs, RAG and AI agents.
- Machine learning and model deployment.
- API integration and distributed systems.
- AI security, governance and responsible AI.
- Stakeholder management and technical leadership.
- Strong analytical and problem-solving capabilities.
Technical Skills
- Python and AI/ML frameworks.
- LangChain, LlamaIndex or equivalent frameworks.
- OpenAI models, Azure AI, AWS AI services or Google Cloud AI.
- Vector databases and embedding technologies.
- REST APIs, microservices and event-driven architecture.
- Docker, Kubernetes and CI/CD.
- MLflow, model monitoring and MLOps tools.
Reporting / Team Relationships
Works closely with:
- CTO / Head of Engineering
- Enterprise Architecture Team
- Data Science and AI Engineering Teams
- Cloud and Infrastructure Teams
- Product Management Team
- Information Security Team
What the Role Offers
This is a strategic leadership opportunity for an AI professional who wants to shape the future of enterprise AI, Generative AI and intelligent automation.
The successful candidate will play an important role in developing scalable AI architectures, integrating intelligent solutions into business operations and driving innovation across enterprise technology platforms.
The role offers an opportunity to influence AI strategy, lead architectural initiatives and contribute to the growth of a technology-driven organisation.
