We’re currently recruiting for an experienced AWS Solutions Architect to join my client on a 12-month PAYE contract, with strong potential for extension. This is a hybrid role requiring 3–4 days per week onsite in Cheltenham.
This is a fantastic opportunity to lead the design and delivery of cutting‑edge cloud and AI/ML solutions within a complex enterprise environment. You’ll play a key role in shaping architecture, driving innovation, and guiding teams through cloud transformation initiatives.
- Start Date: ASAP
- Duration: 12 months+
- Location: Cheltenham (Hybrid – 3–4 days onsite)
- Rate: Up to £95 per hour (PAYE)
- Notice Period: 1 month
- Design end-to-end AWS cloud architectures using services such as EC2, Lambda, S3, API Gateway, ECS/EKS, SageMaker, IAM, and CloudFormation
- Architect AI/ML solutions including pipelines, model training, deployment, and MLOps workflows
- Produce high-quality architectural documentation and design artefacts
Delivery & Implementation
- Oversee implementation of scalable, secure cloud solutions
- Develop proof‑of‑concepts and reference architectures
- Collaborate with engineering teams to integrate AI capabilities
Technical Leadership
- Provide leadership across cloud, AI/ML, and data engineering domains
- Conduct architecture reviews, risk assessments, and governance
- Mentor engineers, data scientists, and junior architects
Stakeholder Engagement
- Work closely with business and technical stakeholders
- Translate complex technical concepts into business‑friendly language
- Support cloud adoption and AI transformation strategies
Security, Compliance & Optimisation
- Ensure alignment with security standards and governance frameworks
- Implement resilient, high‑availability architectures
- Drive cost optimisation across AWS environments
✅ Required Skills & Experience
- Strong expertise across AWS services and cloud architecture design
- Hands‑on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit‑Learn)
- Experience with AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition)
- Proven experience with microservices, serverless, containers (Docker/Kubernetes)
- Excellent communication and stakeholder management skills
- Experience working in Agile environments
Desirable Certifications
- AWS Certified Solutions Architect – Professional
- TOGAF or similar
- AI/ML or Data Engineering certifications
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