Generative AI Solution Architect - Freelance

Cognitive Group | Part of the Focus Cloud Group

London

On-site

GBP 80,000 - 120,000

Part time

14 days+

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Job summary

A leading tech company is searching for a Generative AI Solution Architect for a freelance position in London. The ideal candidate will spearhead the design and implementation of AI-driven solutions, collaborating with cross-functional teams to drive AI innovations. Applicants should possess strong expertise in Python, AI frameworks, and cloud services, with a focus on delivering scalable and secure solutions.

Qualifications

  • Demonstrated experience leading development teams or mentoring engineers.
  • Solid background in software architecture and object-oriented design.
  • Experience working in globally distributed or cross-functional teams.

Responsibilities

  • Architect and implement AI-driven solutions that meet business and technical goals.
  • Define system architecture for AI applications, ensuring they are robust and scalable.
  • Build proof-of-concepts using AI tools like LangChain and Semantic Kernel.

Skills

Python
Machine Learning
Natural Language Processing
Cloud Ecosystems
AI Tools and Frameworks

Education

Professional certifications in generative AI or cloud architecture

Tools

Azure AI services
PyTorch
TensorFlow
scikit-learn
LangChain
LangGraph
Semantic Kernel

Job description

Generative AI Solution Architect - Freelance
Generative AI Solution Architect - Freelance

1 week ago Be among the first 25 applicants

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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
  • 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
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Engineering and Consulting
  • Industries
    IT Services and IT Consulting and Business Consulting and Services

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