Generative AI Solution Architect Freelance
Location: London | Type: Full-time, Freelance | Start Date: ASAP | Inside IR35
Key Responsibilities
- Architect and implement AI-driven solutions that meet both business and technical goals
- Work closely with teams across engineering, product, and data to identify high-impact AI opportunities
- Define system architecture for AI applications, ensuring they are robust, scalable, and secure
- Deliver solution blueprints and effectively communicate architecture decisions to stakeholders
- Assess and recommend the right mix of AI tools, libraries, and frameworks for each use case
- Build proof-of-concepts using tools like LangChain , LangGraph , and Semantic Kernel
- Apply expert knowledge in Python to develop core components of AI pipelines
- Design and implement advanced generative AI techniques including:
- Retrieval-Augmented Generation (RAG)
- Graph and Agentic RAG patterns
- Text summarization models
- Evaluation and feedback loops for generative systems
- Follow modern SDLC practices and use tools such as Git, CI/CD pipelines, and architecture modeling tools
- Stay current with AI trends and emerging technologies, rapidly translating research into practice
- Apply foundational knowledge of ML, NLP, and data engineering to build effective AI systems
- Work within cloud ecosystems, with a preference for Azure AI services and infrastructure
Preferred Experience & Qualifications
- Professional certifications in generative AI or cloud architecture
- Solid background in software architecture, object-oriented design, and design patterns
- Demonstrated experience leading development teams or mentoring engineers
- Proficiency with ML libraries and frameworks like PyTorch , TensorFlow , or scikit-learn
- Experience working in globally distributed or cross-functional teams
Contact Detail:
Cognitive Group | Part of the Focus Cloud Group Recruiting Team