Remote AI Deployment Engineer | Drive Portfolio EBITDA

Harnham; New York (NY); À distance; USD 250 000 - 275 000; Plein temps

Avantages offerts par ce poste

Co-investment opportunity

Loan programme for co-investment

Remote work with travel

Résumé du poste

Harnham is seeking a Forward Deployed AI Engineer to drive hands‑on AI deployments across portfolio companies. You will work directly with leadership to identify where AI creates EBITDA gains, select and deploy tools, and integrate them with ERP/CRM environments.

Ideal candidates have a STEM degree, 3+ years in production AI/ML work, and experience evaluating platforms with evidence-based proofs of concept. Travel ~40% and remote work are offered.

Qualifications

• A STEM degree is required; a Master’s is preferred.
• 3+ years implementing, integrating or building AI/ML systems through to production.
• Experience deploying third‑party AI tools across multiple clients or business units.

Responsabilités

• Deploy, select, integrate and scale AI tools across portfolio companies.
• Evaluate third‑party AI platforms based on evidence and run proofs of concept.
• Integrate tools with ERP, CRM and data systems via APIs, webhooks and MCP.
• Build lightweight automations or custom agentic workflows where off‑the‑shelf tools fall short.
• Measure impact against baselines and turn deployments into playbooks for rollout.
• Train portfolio company teams to operate and sustain what you deploy.

Connaissances

AI/ML systems deployment

Third-party AI tools deployment

Executive communication

Data systems integration

Formation

STEM degree (CS/Math/Statistics/DS/Engineering)

Master's degree preferred

Outils

APIs

Webhooks

MCP

Description du poste

Harnham is seeking a Forward Deployed AI Engineer to drive hands‑on AI deployments across portfolio companies. You will work directly with leadership to identify where AI creates EBITDA gains, select and deploy tools, and integrate them with ERP/CRM environments.

Ideal candidates have a STEM degree, 3+ years in production AI/ML work, and experience evaluating platforms with evidence-based proofs of concept. Travel ~40% and remote work are offered.