AI Architect
Posted Today by Experis
£635 Per day
Inside
Hybrid
City of London
Summary: The AI Architect role involves designing and developing AI solutions using Microsoft Azure technologies within a hybrid work environment. The position requires expertise in AI governance, Python automation, and handling large datasets. The successful candidate will lead agile development processes and communicate complex AI concepts to stakeholders. This is an opportunity to contribute to innovative AI projects in a reputable IT organization.
Key Responsibilities:
- Design and develop Microsoft Azure AI solutions using services such as AI Foundry, Open-AI, and Microsoft Copilot Studio.
- Apply governance frameworks to ensure responsible AI/ML model deployment.
- Use Python to automate processes and optimise workflows.
- Handle large datasets, including data preprocessing, feature engineering, and model evaluation.
- Lead the agile development of AI solutions from concept through deployment and ongoing improvement.
- Create and maintain comprehensive technical documentation.
- Communicate complex AI concepts clearly to stakeholders at all levels.
Key Skills:
- Proven experience (3 years) in AI solution engineering, with a focus on large language models, prompt engineering, and RAG implementations.
- Strong skills in data analytics, MLOps practices, and API development.
- Knowledge of governance frameworks for AI/ML models.
- Python expertise for automation.
- Experience working with large datasets and deploying AI solutions in an agile environment.
- Desirable familiarity with Docker and Kubernetes.
Salary (Rate): £635 per day
City: City of London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
AI Architect
Hybrid (London, Bristol, Leeds, Manchester)
Initial 3 months with extensions
Inside IR35 - Umbrella only
Our client, a reputable organisation in the IT sector, is seeking a talented AI Architect to join their team on a hybrid basis. This is a fantastic opportunity to work on cutting-edge AI solutions within a dynamic environment.
What you'll be doing:
- Design and develop Microsoft Azure AI solutions using services such as AI Foundry, Open-AI, and Microsoft Copilot Studio.
- Apply governance frameworks to ensure responsible AI/ML model deployment.
- Use Python to automate processes and optimise workflows.
- Handle large datasets, including data preprocessing, feature engineering, and model evaluation.
- Lead the agile development of AI solutions from concept through deployment and ongoing improvement.
- Create and maintain comprehensive technical documentation.
- Communicate complex AI concepts clearly to stakeholders at all levels.
What you'll bring:
- Proven experience (3 years) in AI solution engineering, with a focus on large language models, prompt engineering, and RAG implementations.
- Strong skills in data analytics, MLOps practices, and API development.
- Knowledge of governance frameworks for AI/ML models.
- Python expertise for automation.
- Experience working with large datasets and deploying AI solutions in an agile environment.
- Desirable familiarity with Docker and Kubernetes.
Join a forward-thinking team where your expertise will shape innovative AI solutions. If you're passionate about AI and ready to make an impact, we'd love to hear from you!
