Principal AI Consultant

Advancing Analytics; United States; Hybrid; USD 139,000 - 172,000; Full time

Benefits offered by this job

Remote UK work with occasional visits

Discretionary bonus up to 15%

Job summary

Advancing Analytics in the United Kingdom leads enterprise AI engagements from discovery to production, shaping technical direction and ensuring delivery quality. The role covers applied ML, generative AI, LLM systems, and governance for complex business needs.

The candidate will guide technical delivery, design production-grade AI solutions, and oversee architectures and pipelines while ensuring stakeholder alignment and responsible AI practices.

Qualifications

• A PhD in a relevant discipline, such as machine learning, computer science, AI, data science, or mathematics, or equivalent industry experience delivering complex production AI systems.
• A track record leading enterprise AI consulting work with end-to-end accountability for outcomes, technical quality, and stakeholder alignment.
• Deep experience designing production ML and generative AI solutions, including RAG and agentic patterns.
• Extensive experience with enterprise LLM systems, including prompt engineering, fine-tuning, guardrails, and responsible AI.
• Ability to design and oversee AI agent architectures; named examples include LangChain, LangGraph, Semantic Kernel, and CrewAI, or equivalent approaches.
• Strong expertise in LLMOps and MLOps, including evaluation, monitoring, and CI/CD.

Responsibilities

• Lead customer engagements as the technical lead or solution architect, guiding delivery from initial requirements to production.
• Design and review production-grade machine learning and generative AI solutions, including RAG and agent-based approaches.
• Advise on enterprise LLM systems, including prompting, fine-tuning, safeguards, and responsible AI practices.
• Design or oversee agent architectures involving tool use, memory, and multi-step reasoning.
• Apply operational practices for machine learning and language model systems, including evaluation, monitoring, and continuous integration and delivery.
• Help customers implement language models and deploy end-to-end machine learning pipelines for complex business needs.

Skills

RAG patterns

Agent architectures

LLMOps

MLOps

Prompt engineering

CI/CD

Education

PhD in ML/CS or equivalent

Tools

LangChain

LangGraph

Semantic Kernel

CrewAI

Job description

Role overview

Lead enterprise AI consulting engagements from discovery through production, shaping technical direction and taking responsibility for delivery quality and stakeholder alignment. The work spans applied machine learning and generative AI, including large language model implementations, retrieval-augmented generation, agentic systems, and operational pipelines.

Responsibilities

• Lead customer engagements as the technical lead or solution architect, guiding delivery from initial requirements to production.
• Design and review production-grade machine learning and generative AI solutions, including RAG and agent-based approaches.
• Advise on enterprise LLM systems, including prompting, fine-tuning, safeguards, and responsible AI practices.
• Design or oversee agent architectures involving tool use, memory, and multi-step reasoning.
• Apply operational practices for machine learning and language model systems, including evaluation, monitoring, and continuous integration and delivery.
• Help customers implement language models and deploy end-to-end machine learning pipelines for complex business needs.

Requirements

• A PhD in a relevant discipline, such as machine learning, computer science, AI, data science, or mathematics, or equivalent industry experience delivering complex production AI systems.
• A track record leading enterprise AI consulting work with end-to-end accountability for outcomes, technical quality, and stakeholder alignment.
• Deep experience designing production ML and generative AI solutions, including RAG and agentic patterns.
• Extensive experience with enterprise LLM systems, including prompt engineering, fine-tuning, guardrails, and responsible AI.
• Ability to design and oversee AI agent architectures; named examples include LangChain, LangGraph, Semantic Kernel, and CrewAI, or equivalent approaches.
• Strong expertise in LLMOps and MLOps, including evaluation, monitoring, and CI/CD.

Benefits and work setup

• Remote work within the UK, with occasional customer and team visits.
• Advertised salary is £105,000–£130,000 per year depending on experience, with a discretionary bonus of up to 15%.