Senior Generative AI Architect London
Job Description
Senior Generative AI Architect
Location
London, United Kingdom
Work Mode
Hybrid
Experience
10+ Years
Employment Type
Full-Time
About The Role
We are looking for an experienced Senior Generative AI Architect to lead the design, development, and implementation of enterprise-scale Generative AI solutions.
The ideal candidate will possess strong expertise in Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Cloud Platforms, and AI Architecture. This role requires a strategic thinker who can design scalable AI solutions while ensuring security, governance, and responsible AI practices.
Key Responsibilities
AI Architecture & Solution Design
Artificial Intelligence & Machine Learning
Mandatory
10+ Years of Machine Learning Experience
10+ Years of Artificial Intelligence (AI) Experience
10+ Years of Cloud Platform Experience
Why Apply
Work Mode: Hybrid
Experience: 10+ Years
Skill Focus: Generative AI | LLMs | AI Architecture | Cloud Platforms | Machine Learning | Python
Share the job
Location
London, United Kingdom
Work Mode
Hybrid
Experience
10+ Years
Employment Type
Full-Time
About The Role
We are looking for an experienced Senior Generative AI Architect to lead the design, development, and implementation of enterprise-scale Generative AI solutions.
The ideal candidate will possess strong expertise in Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Cloud Platforms, and AI Architecture. This role requires a strategic thinker who can design scalable AI solutions while ensuring security, governance, and responsible AI practices.
Key Responsibilities
AI Architecture & Solution Design
- Design and maintain enterprise-grade Generative AI architectures.
- Define AI frameworks, standards, and best practices.
- Align AI initiatives with business objectives and technology strategies.
- Lead architecture reviews and technical decision-making.
- Design, train, fine-tune, and deploy Generative AI models.
- Build solutions using Large Language Models (LLMs).
- Develop AI-powered applications for content generation, automation, summarization, and knowledge management.
- Implement Retrieval-Augmented Generation (RAG) architectures.
- Integrate AI solutions with enterprise systems and business workflows.
- Collaborate with engineering teams to embed AI capabilities into existing applications.
- Design scalable AI infrastructure across cloud environments.
- Optimize AI workloads for performance and cost efficiency.
- Ensure high availability, scalability, and reliability of deployed AI solutions.
- Establish monitoring and observability mechanisms.
- Implement AI governance frameworks.
- Address fairness, explainability, bias, transparency, and security concerns.
- Ensure compliance with organizational and regulatory requirements.
- Stay updated with emerging AI technologies and industry trends.
- Evaluate new frameworks, tools, and models.
- Drive innovation through AI adoption and experimentation.
- Work closely with Product Managers, Data Scientists, Engineers, and Business Stakeholders.
- Mentor technical teams and provide architectural guidance.
- Support solution workshops and strategic AI initiatives.
Artificial Intelligence & Machine Learning
- Generative AI
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Large Language Models (LLMs)
- Prompt Engineering
- Fine-Tuning Models
- AI Solution Design
- TensorFlow
- PyTorch
- Hugging Face
- LangChain (Preferred)
- LlamaIndex (Preferred)
- Microsoft Azure
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
- Python (Mandatory)
- Java
- C++
- AI Platform Architecture
- Cloud-Native Architecture
- MLOps
- CI/CD
- Containerization
- Kubernetes
- Docker
Mandatory
- 10+ years of overall experience in Artificial Intelligence and Machine Learning.
- 7+ years of experience in AI/ML Architecture.
- Strong experience designing and deploying Generative AI solutions.
- Hands-on experience with LLMs and enterprise AI platforms.
- Experience working with AWS, Azure, or Google Cloud.
- Experience building scalable production-grade AI applications.
- Experience with RAG architectures.
- Experience with AI Agents and Agentic Workflows.
- Experience leading enterprise AI transformation programs.
- Strong stakeholder management and leadership skills.
10+ Years of Machine Learning Experience
10+ Years of Artificial Intelligence (AI) Experience
10+ Years of Cloud Platform Experience
Why Apply
- Opportunity to work on cutting-edge Generative AI initiatives.
- Exposure to enterprise-scale AI transformation programs.
- Collaborative and innovation-driven environment.
- Opportunity to architect next-generation AI solutions.
Work Mode: Hybrid
Experience: 10+ Years
Skill Focus: Generative AI | LLMs | AI Architecture | Cloud Platforms | Machine Learning | Python
Share the job
More Info
Key Skills
LangChain
AI Platform Architecture
Generative AI
Hugging Face
AI Solution Design
Cloud-Native Architecture
Fine-Tuning Models
Prompt Engineering
LlamaIndex
