AI Application Architect, Senior Manager, AI and Cloud Engineering

Overview

As an AI Application and Solution Architect, you design and deliver AI-enabled applications within complex enterprise environments. You define the technical vision, lead end-to-end architecture, and ensure AI components are scalable, secure, and aligned with business goals. You collaborate with product owners, data scientists, and engineering teams to drive high-impact AI solutions. This role sits at the intersection of AI capabilities and enterprise architecture, shaping how clients leverage AI to transform their operations.

Pay / Benefits

• Training and skill development platforms (A Cloud Guru, Udemy, LinkedIn Learning)
• Certifications and training programmes
• Flexible work environment
• Hybrid working policy
• Support for work-life balance
• Opportunity for career growth and learning

Responsibilities

• Lead the architectural design and delivery of AI-driven applications across domains
• Define standards and best practices for AI solution development with focus on scalability and security
• Translate business requirements into comprehensive AI architectures, data models, and deployment strategies
• Evaluate AI technologies, platforms, and frameworks, including ML services and cognitive APIs
• Leverage generative AI and related tools to accelerate design, documentation, and development
• Provide technical leadership and mentorship to development teams
• Ensure compliance with data privacy and regulatory frameworks (GDPR, AI Act)
• Conduct architectural reviews, performance optimisation, and security assessments
• Stay updated on emerging AI technologies and industry trends
• Collaborate with product owners, data scientists, and engineers to meet functional and non-functional requirements
• Manage stakeholder communications and influence decisions during architecture reviews

Key requirements

• Senior Application or Solution Architect experience with AI-driven applications
• Experience integrating AI components (ML models, NLP, computer vision, agents) into enterprise apps
• Knowledge of generative AI models and LLMs; experience with code-generation tools
• Proficiency in Python; experience with ML/AI frameworks (TensorFlow, PyTorch) and ML lifecycle tools (MLFlow, Kubeflow)
• Knowledge of iPaaS (Mulesoft, Boomi) and cloud platforms (AWS, Azure, GCP) with AI/ML offerings
• Experience with data integration architectures, data governance, and security practices for AI
• Excellent communication, presentation, and stakeholder management skills
• Ability to lead and mentor technical teams
• Experience in a consulting environment is a plus

• Communication
• Stakeholder management
• Mentorship/leadership
• Python
• TensorFlow
• PyTorch

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