AI Solutions Architect

Anson McCade • City of London, England, United Kingdom • from £60 / year • 1d ago

A BIG4 Consultancy seeks an influential AI Solutions Architect to support clients in designing, implementing, and operating scalable AI architectures that facilitate the effective deployment of AI models and strategies.

The Role:

You’ll be at the heart of transforming visionary ideas into actionable AI, ML, and GenAI strategies. Your mission? To bridge the gap between senior client stakeholders and architects, developing architectural roadmaps that drive digital transformation and align with strategic goals.

Additionally, your role will involve guiding technical review boards, ensuring data privacy and security, and engaging with clients to shape proposals, pilot innovative use cases, and refine architectural designs. You’ll also lead diverse teams with an inclusive mindset, nurturing talent through hands-on training and formal development.

Required Skills/Experience:

Architecture & Data Science: Proven expertise in architecture with a strong grasp of AI/ML-related data science concepts.
Cloud AI/ML: Hands-on experience with cloud AI/ML workloads across platforms like Google PaLM, Vertex AI, Azure OpenAI, AWS Bedrock, Sagemaker, Dataiku, Databricks, Snowflake, and DataRobot.
Scalable Solutions: Expertise designing scalable, cost-effective AI/ML solutions using serverless technologies, containers/Kubernetes, and GPU infrastructure.
Generative AI & LLMs: Practical experience with generative AI, large foundational models, LLM architectures (e.g., Transformers, GANs, VAEs), fine-tuning, and retrieval-augmented generation.
Programming & MLOps: Proficient in Python, with experience using PyTorch, TensorFlow, LangChain, and MLOps for AI/ML lifecycle management.
API Development: Skilled in developing and integrating APIs to serve ML models and create end-to-end enterprise solutions.
Leadership & Stakeholder Management: Strong ability to manage senior stakeholders, lead technical programs, collaborate with cross-functional teams, present architectural designs, and contribute to RFI/RFP responses.
Advanced Degrees & Certifications: Master’s or PhD in Computer Science, Data Science, or related fields, along with professional certifications in AI/ML technologies and cloud platforms.

Benefits:

Annual Bonus: 10%
Health: Private Medical Insurance
Annual Leave: 25 Days plus Public Holidays + buy up to 10 additional days
L&D: Annual Performance/Salary Reviews + Training & Development Budget
Life Assurance: Up to a maximum of four times the Earnings Cap plus Occupational Sick Pay and Personal Accident Insurance

For more information, please apply below or contact me directly.

Contact: 02077806706

LinkedIn: George Bates | LinkedIn

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