Impact-Driven AI Engineer for Portfolio Automation

Acara Solutions, Inc.; Irving (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Acara Solutions is seeking a Forward‑Deployed AI Engineer to drive EBITDA impact across portfolio companies by deploying AI-powered automation and custom solutions. You’ll evaluate, select, and integrate third‑party AI platforms, build scalable automation, and train teams across a fast‑moving private equity environment.

You will work with Claude/Codex/Gemini platforms, LangGraph, LangChain and automation tools, ensuring data integrity and measurable outcomes within 30–60 days and beyond.

Qualifications

• 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.

Responsibilities

• Third-Party Evaluation, Integration & Vendor Management: evaluate and select AI platforms; lead end-to-end implementation; run proofs of concept; manage vendor relationships.
• Measurement and ROI: define baselines and success metrics; translate results into EBITDA impact; provide progress updates.
• Custom Development & Deployment: design and build AI automation solutions; lightweight automations with no-code/low-code; develop extensions to third-party platforms; ensure production reliability.
• Enablement & Adoption: train portfolio teams; document deployments with runbooks and guides.

Skills

AI/ML systems

Python

Cloud platforms

LangChain

LangGraph

APIs & integration

CI/CD

Vendor evaluation

Tools

Claude Code

Claude Cowork

Codex

Gemini

Cursor

Windsurf

n8n

Zapier

Make

LangChain

LangGraph

Job description

Acara Solutions is seeking a Forward‑Deployed AI Engineer to drive EBITDA impact across portfolio companies by deploying AI-powered automation and custom solutions. You’ll evaluate, select, and integrate third‑party AI platforms, build scalable automation, and train teams across a fast‑moving private equity environment.

You will work with Claude/Codex/Gemini platforms, LangGraph, LangChain and automation tools, ensuring data integrity and measurable outcomes within 30–60 days and beyond.