Forward-Deployed AI Engineer for Enterprise Solutions

Vibehackers; Northern (KY); Hybrid; USD 113,000 - 366,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Disability coverage

Bonus opportunities

Paid time off

Mentoring & training

Job summary

Vibehackers seeks a senior Forward-Deployed AI Engineer to design, prototype, and ship production-grade AI solutions that integrate LLMs with enterprise systems. You will work directly with clients, translating ambiguous business needs into technical designs and acting as the technical bridge across product, engineering, data, and business stakeholders.

The role emphasizes architectural leadership, rapid prototyping, and secure, scalable AI deployments, with significant travel to client sites

Qualifications

• 2+ years with AI/ML platforms and workflow/orchestrator tooling.
• Experience integrating AI with enterprise platforms.
• Minimum 10 years translating business needs into technical designs.
• Minimum 10 years of client-facing communication and collaboration.

Responsibilities

• Understand business problems with clients and shape AI use cases.
• Design and implement end-to-end AI solutions with enterprise platforms.
• Rapidly prototype and deploy AI-enabled workflows, agents, copilots, and automations.
• Drive architecture including prompts, workflow design, API integrations and governance.

Skills

System Design

Distributed Systems

API Integration

Prompt Design

Workflow Design

Prototype Development

Client communication

Technical Leadership

Solution Architecture

Security & Governance

Workshop Facilitation

Education

Bachelor’s degree in Computer Science or Engineering

Job description

Vibehackers seeks a senior Forward-Deployed AI Engineer to design, prototype, and ship production-grade AI solutions that integrate LLMs with enterprise systems. You will work directly with clients, translating ambiguous business needs into technical designs and acting as the technical bridge across product, engineering, data, and business stakeholders.

The role emphasizes architectural leadership, rapid prototyping, and secure, scalable AI deployments, with significant travel to client sites