Tech Architecture Specialist AWS (AI focussed)

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As a team:

We are one of the world's leading providers of Cloud Solutions. You'll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies with clients to help them get to the next level.

You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.

If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.

In our team you will:

In your role as an Associate Manager or Specialist you will:

• Work for tier-1 clients across industry sectors - helping them turn their cloud strategy into reality.
• Help design and deliver transformative cloud solutions - from migrating legacy applications onto Cloud, to building innovative, new cloud-native applications.
• Continue to learn and grow - we actively encourage and support continuous learning and certification.
• Serve as a cloud evangelist, educating customers on the value Cloud computing can bring to transform their business.
• Design and deliver cloud-native AI and Generative AI solutions on AWS using services such as Amazon Bedrock, Amazon Q and SageMaker.
• Identify opportunities for AI-driven business transformation and architect intelligent solutions that improve business processes and operational efficiency.
• Support the design and implementation of Agentic AI solutions, including AI agents that can interact with enterprise systems, orchestrate workflows and automate business tasks in a secure and governed manner.
• Design and implement AWS workloads using modern cloud patterns such as serverless, containerised, and microservices architectures.
• Develop scalable application solutions aligned with best practice for performance, resilience, and cost efficiency.
• Configure and maintain CI/CD pipelines and automation frameworks to support rapid delivery.
• Apply cloud security principles, including identity and access management, encryption, and compliance controls.
• Optimise architectures for scalability, reliability, and operational excellence.
• Produce high-quality design documentation and contribute to architecture reviews.
• Execute testing strategies for functional and non-functional requirements (performance, security, reliability).
• Collaborate with clients and internal teams to deliver robust, cloud-first solutions.

Job Qualifications

We are looking for the following:

Experience

• Significant hands-on experience designing and implementing solutions using AWS cloud services.
• Experience designing and deploying AI/ML and Generative AI solutions using AWS services.
• Experience integrating Large Language Models (LLMs), Retrieval Augmented Generation (RAG) and vector database technologies into enterprise applications.
• Exposure to Agentic AI concepts, AI orchestration frameworks or intelligent automation solutions.
• Understanding of Responsible AI principles, AI governance, security, privacy and compliance considerations.

Certification & Education

• AWS Professional and/or Associate certification (e.g., Solutions Architect, DevOps Engineer).
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• Demonstrated commitment to continuous professional development through cloud, architecture and AI certifications.

Business Architecture

• Ability to translate business requirements into scalable, secure cloud architectures.
• Experience in cost optimisation and familiarity with cloud best practices.

Data & AI Architecture

• Strong understanding of data platforms and analytics solutions.
• Experience designing AI/ML-driven solutions and data lifecycle management.
• Knowledge of Generative AI solution patterns including LLMs, RAG architectures, embeddings, vector stores and prompt engineering.
• Understanding of Agentic AI concepts including agent orchestration, planning, memory, tool usage and human-in-the-loop controls.
• Experience designing scalable data architectures to support AI and machine learning workloads.

Application Architecture

• Proficiency in designing application workloads using modern cloud patterns (e.g., serverless, containerised, microservices).
• Familiarity with CI/CD and DevOps practices.
• Experience designing intelligent applications that incorporate Generative AI, conversational AI or agent-based capabilities.
• Familiarity with integrating enterprise applications with AI services and model APIs.

Security Architecture

• Deep knowledge of identity, access management, encryption, and compliance frameworks.
• Ability to implement security best practices across cloud environments.
• Understanding of AI security considerations including prompt injection protection, model governance, sensitive data handling and Responsible AI controls.

Integration Architecture

• Understanding of integration patterns and event-driven architectures.
• Ability to design APIs and hybrid connectivity solutions.

Non-Functional Requirements

• Experience designing highly available, fault-tolerant, and scalable solutions.
• Knowledge of disaster recovery strategies.
• Ability to design for performance, resilience, and observability.
• Familiarity with monitoring and optimisation practices.

Governance & Compliance

• Awareness of cloud governance, account management, and compliance standards.
• Ability to enforce auditing and cost allocation strategies.

What will set you apart:

Advanced Certification

• AWS Specialty certifications (e.g., Advanced Networking, Machine Learning, Security).
• AWS AI Practitioner Certification.
• AWS Machine Learning Specialty or AWS Certified Machine Learning Engineer.
• Industry-recognised Generative AI, Responsible AI or Agentic AI certifications.
• Microsoft, Google Cloud or equivalent AI/ML certifications would be advantageous.

Agentic AI and Generative AI Experience

• Experience delivering enterprise-scale Generative AI solutions.
• Experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel or equivalent.
• Experience integrating AI agents with enterprise applications and business workflows.
• Familiarity with AI observability, model evaluation and Responsible AI governance frameworks.

Multi-Cloud

• Advantageous to have experience with other cloud platforms (Azure, Google Cloud).