Director of Artificial Intelligence

Responsibilities

• Own and execute the organization's AI and Agentic AI strategy
• Design and scale production AI agents, RAG systems and intelligent workflows
• Define architecture and engineering standards around LLMs, MCP, A2A, evaluations and guardrails
• Build a scalable AI platform that enables teams to take use cases from prototype through to production
• Shape model strategy , balancing performance, cost, scalability and the right models for different workloads
• Lead and develop a global engineering team , while remaining close to architecture and technical decision-making
• Partner with senior leadership to identify where AI can have the biggest impact across products and internal operations
• Establish strong practices around AI governance, security, privacy and responsible deployment

Benefits

• Fully Remote, US
• Glassdoor
• 3.6
• Harnham has actively chosen to focus on Data and Analytics.
• London, England, GBR
• https://www.harnham.com/us
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Human Resources
• Trends of Total Sponsorships
• *2024
• (1)
• Growth Stage
• Total Funding
• unknown
• Key Investors
• BGF Ventures
• 2022-05-01
• Seed
• Leadership Team
• David Farmer
• Chief Executive Officer
• Simon Clarke
• Harnham Group CEO
• Recent News
• Harnham secures investment from BGF | Harnham US Recruitment post
• 2025-02-05
• BeBeez
• Notizie da: Nordic Capital, Bridgepoint Development Capital, PAI Partners, BlackRock, IP Group, MMC, Octopus, Pelican Capital, BGF e altri
• 2022-05-09

Qualifications

• Strong background in software engineering and engineering leadership
• Proven experience building and shipping AI products into production
• Deep knowledge of Agentic AI, RAG, LLMs and modern AI architectures
• Experience with tool use, evaluations, guardrails and agent frameworks
• Strong understanding of modern cloud and AI infrastructure
• Experience leading engineering teams and driving wider AI transformation
• Someone equally comfortable discussing technical architecture with engineers and AI strategy with executives

Required skills

• AI Architecture, AI Guardrails, AI Transformation, Agentic AI, Engineering Leadership, LLM Evaluation, Large Language Models (LLMs), Production AI Systems, Retrieval-Augmented Generation (RAG)