Head of Engineering

Harnham; United States; Remote; USD 250,000 - 290,000; Full time

Job summary

A leading AI strategy and technology firm is seeking a Head of Engineering to drive technical direction and build a high-performing team. This role involves hands-on leadership in developing scalable AI solutions for enterprise clients, fostering innovation and accountability.

Benefits

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Qualifications

• Must have consulting experience.
• Strong experience in software or AI engineering, with 2+ years in a leadership role.
• Expertise in backend or full-stack development.

Responsibilities

• Architect and own the full technical stack.
• Lead the buildout of a high-performing, cross-functional team.
• Deploy LLM-based workflows and establish engineering best practices.

Skills

Python

Leadership

DevOps

Communication

Tools

Docker

AWS

GCP

Azure

Job description

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$250,000.00/yr - $290,000.00/yr

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Placing the Top AI and Machine Learning Talent (NYC)

Head of Engineering

$250,000 – $290,000 base

Remote (US Only – East Coast only)

The Company

We’re working with a global AI strategy and technology firm that’s helping industry leaders unlock the full potential of artificial intelligence. With a decade of experience delivering transformative AI solutions across sectors, this team blends deep technical expertise with a sharp focus on business outcomes.

Now, they’re looking for a Head of Engineering to help scale their impact and build the engineering capability from the ground up.

The Role

This is a rare opportunity to take ownership of engineering leadership at a company delivering sophisticated AI solutions to enterprise clients. You’ll define technical direction, ship scalable systems, and lead the buildout of a high-performing, cross-functional team — while staying hands-on and close to the tech.

• Architect and own the full technical stack — front-end, back-end, infrastructure
• Write and review scalable, production-level code across core AI platforms
• Set up deployment pipelines and environments (local, staging, prod) from scratch
• Deploy LLM-based workflows, including prompt engineering, embeddings, and vector search
• Establish engineering best practices across DevOps, CI/CD, and documentation
• Build and lead a high-impact team across AI, full-stack, and data engineering
• Implement lightweight, agile processes to drive speed and quality
• Collaborate across AI, product, and design to ship real-world enterprise AI products
• Shape the engineering roadmap and ensure technical excellence at every stage
• Foster a culture of innovation, accountability, and high trust

Your Experience

• Must have consulting experience
• Strong experience in software or AI engineering, with 2+ years in a leadership or senior technical role
• Expertise in backend or full-stack development and modern API architecture
• Strong Python skills, with hands-on experience building with LLMs (OpenAI, Hugging Face, etc.)
• Familiarity with vector search, RAG workflows, LangChain, or related tools is a plus
• Strong understanding of DevOps fundamentals — Docker, CI/CD, cloud (AWS/GCP/Azure)
• Experience in client delivery, consulting, or startup-like environments
• Strong communicator and natural team builder who thrives in a cross-functional, remote-first setup

Keywords: Head of Engineering, AI Strategy, LLM, RAG, LangChain, Python, Cloud, ML Infrastructure, Remote, AI Consulting, Backend, AI Deployment, Start-up, Leadership

Seniority level

• Seniority level

  Executive

Employment type

• Employment type

  Full-time

Job function

• Job function

  Consulting, Engineering, and Management

• Industries

  IT Services and IT Consulting, Business Consulting and Services, and Engineering Services

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

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