AI Architect - Agentic AI and GenAI

Lorien
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Data Architecture
ETL
Machine Learning
TensorFlow
Google Cloud Platform
Data Ingestion
PyTorch
Large Language Models
Generative AI
Togaf
Containerization
Kubernetes
HuggingFace
Databricks

Job description

Are you passionate about shaping 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 (eg, OpenAI, Azure AI, Hugging Face, LangChain).
  • 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.

Requirements

  • Knowledge and experience of AI/ML frameworks (TensorFlow, PyTorch), LLMs, and Generative AI platforms.
  • Experience with agentic frameworks (Semantic Kernel, LangChain, AutoGen) 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 workstreams 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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