AI Architect - Agentic AI and GenAI
Job in
Greater London, London, Greater London, EC1A, England, UK
Listed on 2026-01-14
Listing for:
Lorien
Full Time
position Listed on 2026-01-14
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Cloud Computing, Data Scientist
Job Description & How to Apply Below
Contract: 6 Months
Location: London Bankside
Work Model: Hybrid / Remote
Are you passionate about the future of AI in enterprise environments? We're looking for an AI Architect to design and deliver cutting-edge AI solutions that drive innovation and business transformation. This is a high-impact role where you'll define architectures for Generative AI, Agentic AI, and machine learning, ensuring seamless integration into business processes and platforms.
What You'll Do- Develop reference architectures, patterns, and standards for AI solutions.
- Design end-to-end AI architectures for enterprise environments, from data ingestion to deployment and monitoring.
- Define adoption roadmaps and evaluate emerging technologies (e.g., OpenAI, Azure AI, Hugging Face, Lang Chain).
- Establish governance frameworks for Responsible AI, including bias mitigation and explainability.
- Collaborate with business leaders, data scientists, and engineering teams to deliver secure, scalable, and compliant AI solutions.
- Optimize AI workloads for cost efficiency and performance across cloud and hybrid environments.
- Knowledge and experience of AI/ML frameworks (Tensor Flow, PyTorch), LLMs, and Generative AI platforms.
- Experience with agentic frameworks (Semantic Kernel, Lang Chain, Auto Gen) and orchestration tools.
- Proficiency in cloud platforms (Azure, AWS, GCP) and containerization (Kubernetes).
- Demonstrable experience in AI solution architecture, including Azure & Databricks.
- Understanding of data architecture, ETL pipelines, and lakehouse patterns.
- Familiarity with TOGAF or similar frameworks.
- Excellent communication and stakeholder management skills.
- Strategic thinker with the ability to translate business needs into technical solutions.
- Knowledge of data privacy, compliance, and Responsible AI principles.
- Strategic thinking with the ability to translate business needs into technical solutions.
- Demonstrable experience in creating and managing enterprise reference architecture, blueprints, patterns and standards.
- Grounded understanding in Data Privacy, Compliance/Regulatory requirements and Responsible AI.
- Ability to work cross-functionally in a fast-paced and rapidly changing work environment.
- Must be able to successfully manage multiple work streams simultaneously.
- Ability to engage and communicate effectively across all levels of the organisation.
- Broader understanding of a CPG or Consumer healthcare industry and functional understanding of data from one or more business functions (advantageous).
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