AI Deployment Engineer - Fast-Impact Automation

Acara Solutions, Inc.; Irving (TX); Vor Ort; USD 140.000 - 200.000; Vollzeit

Zusammenfassung

Acara Solutions is seeking a Forward-Deployed AI Engineer to work with portfolio companies, identifying and deploying AI automation that drives EBITDA impact. You will evaluate third-party AI platforms, integrate them with existing systems, and measure outcomes to deliver tangible value.

You will also build custom solutions when needed, train teams, and enable cross-portfolio adoption, leveraging no-code/low-code tools as appropriate and ensuring governance and reliability across deployments.

Qualifikationen

• Minimum 3 years experience implementing, integrating and building AI/ML systems.
• Minimum 3 years experience with AI platforms, RAG architectures, Python, Cloud platforms and 3rd party platform evaluation.
• Experience in Private Equity, Management Consulting or Financial Services environments.
• Hands-on proficiency with modern AI platforms and automation tools such as LangChain, n8n, Zapier, Make, Claude Code, Claude Cowork, Codex, Gemini, Cursor, Windsurf.

Aufgaben

• Identify, evaluate, implement, and measure AI solutions that generate EBITDA impact for portfolio companies.
• Lead end-to-end deployment: integrate with ERP/CRM/HRIS via APIs and data validation; manage go-live.
• Run structured proofs of concept with clear success criteria and metrics.
• Train portfolio company teams and drive adoption across the portfolio.

Kenntnisse

AI platforms

RAG architectures

Python

Cloud platforms

3rd party evaluation

Tools

LangChain

LangGraph

n8n

Zapier

Make

Claude Code

Claude Cowork

Codex

Gemini

Cursor

Windsurf

Jobbeschreibung

Acara Solutions is seeking a Forward-Deployed AI Engineer to work with portfolio companies, identifying and deploying AI automation that drives EBITDA impact. You will evaluate third-party AI platforms, integrate them with existing systems, and measure outcomes to deliver tangible value.

You will also build custom solutions when needed, train teams, and enable cross-portfolio adoption, leveraging no-code/low-code tools as appropriate and ensuring governance and reliability across deployments.