Principal AI Consultant

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Assist clients in implementing large language models to address intricate and advanced business challenges.

• Deploy comprehensive machine learning pipelines to enhance and automate AI solutions.

• Lead AI consulting projects on an enterprise scale as a technical lead or solution architect.

• Ensure successful delivery outcomes, maintain technical quality, and align with stakeholders from discovery to production.

• Design production-ready ML and GenAI solutions, including RAG and agentic AI patterns.

• Design and evaluate enterprise-level LLM-based systems, focusing on prompt engineering, fine-tuning, guardrails, and responsible AI practices.

• Design and supervise AI agent architectures that incorporate tool usage, memory, and multi-step reasoning.

• Establish and manage LLMOps and MLOps practices, including evaluation, monitoring, CI/CD, and dependable production operations.

• Utilize Databricks technologies such as Unity Catalog, Mosaic AI, Model Serving, feature engineering, Lakehouse Monitoring, Lakebase, and governance-led Lakehouse architectures.

• Set engineering standards and guide teams through complex delivery challenges using Python.

• Address issues related to AI governance, compliance, responsible AI, bias testing, auditability, and delivery risks.

• Influence senior stakeholders, articulate architectural trade-offs, and mentor senior consultants and engineers.

• Occasionally visit clients and team members.

⛳️ Requirements

• PhD in a relevant domain such as Machine Learning, Computer Science, Artificial Intelligence, Data Science, Mathematics, or a closely related field, or equivalent industry experience in delivering complex, production-grade AI systems.

• Proven track record leading enterprise-scale AI consulting projects as an engagement technical lead or solution architect.

• Full accountability for delivery outcomes, technical quality, and stakeholder alignment from discovery to production.

• Demonstrated expertise in designing production-quality ML and GenAI solutions, including RAG and agentic AI patterns.

• Extensive experience in designing and reviewing LLM-based systems in enterprise settings, emphasizing prompt engineering, fine-tuning, guardrails, and responsible AI practices.

• Advanced skills in designing and overseeing AI agent architectures that incorporate tool usage, memory, and multi-step reasoning using frameworks like LangChain, LangGraph, Semantic Kernel, CrewAI, or similar architectural patterns.

• Strong expertise in LLMOps and MLOps, including evaluation, monitoring, CI/CD for AI workflows, and reliable operation of AI systems in production.

• Expert-level knowledge of the Databricks ecosystem, including Unity Catalog, Mosaic AI, Model Serving, feature engineering, Lakehouse Monitoring, Lakebase, and governance-led Lakehouse architectures.

• Proficient in production-quality Python programming.

• In-depth understanding of AI governance, compliance, and delivery risks, including responsible AI practices, bias testing, and auditability in regulated sectors.

• Excellent consulting and communication abilities, with the capacity to influence senior stakeholders, clarify architectural trade-offs, and mentor senior consultants and engineers.

• Strategic and architectural experience with Microsoft Azure, including Azure-native AI and data platforms, reference architectures, and enterprise security and governance requirements (desirable).

• Experience with advanced agent tooling and orchestration, including MCP servers, Unity Catalog functions, and governed tool-execution patterns (desirable).

• Familiarity with LLM and agent evaluation frameworks such as Mosaic AI Agent Evaluation, Garak, or custom evaluation harnesses (desirable).

• Strong background in advanced machine learning, including deep learning with PyTorch, computer vision, NLP pipelines, or graph-based data processing (desirable).

• Knowledge of cloud infrastructure and modern deployment practices, including Terraform or Bicep, Kubernetes, serverless architectures, and secure multi-tenant designs (desirable).

• Exposure to AI security, red teaming, and adversarial testing, including prompt-injection defense and NIST AI 600-1 or EU AI Act (desirable).

• Experience leading delivery in Agile environments such as Scrum or Kanban (desirable).

• Must be located in the UK.

🏝️ Benefits

• Up to 15% discretionary bonus.

• Industry-matching maternity and paternity policy.

• Private medical and dental care, along with an eye care scheme.

• Health and well-being supplement.

• 25 days of annual leave, birthday leave, and charity leave.

• Team away days.

• Flexible working hours.

• Electric car scheme.

• Databricks Champion Status bonus.

• Hands-on access to exciting technologies and learning opportunities.

• Long-term commitment to employee development.

• Opportunities to speak at industry events and engage with the broader data and AI community.