Client-Facing AI Solutions Engineer

Honeycombsoft; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Honeycombsoft is seeking a Forward Deployed Engineer to bridge cutting-edge AI technology with client needs. You will sit with clients, write code, design and deploy AI agent systems, and own the path from a business problem to a working, adopted solution.

You will lead technical integration, architect AI agent teams, and run workshops to drive product adoption, delivering end-to-end client success and measurable business value.

Qualifications

• Experience delivering AI/agent systems in practical client contexts.
• Ability to translate business needs into concrete technical specs.

Responsibilities

• Own technical delivery for client integrations of AI-powered agent systems, end to end.
• Turn ambiguous business needs into concrete technical specs and solution designs.
• Deploy, configure, and optimize multi-agent systems in production.
• Build trust with clients through hands-on implementation, training, and support.
• Feed real client feedback back into product improvement.
• Lead technical integration of our products into client systems — API integrations, data pipelines, custom workflows.
• Translate client needs into technical specifications and solution designs aligned with product capabilities.
• Design and architect AI agent teams — assigning specialized roles and workflows tailored to each client.
• Run technical workshops and training sessions to drive product adoption.
• Partner with Customer Success and Support to ensure smooth, successful client outcomes.
• Deploy, configure, and optimize multi-agent systems in production environments.

Skills

Python

Tools

API integrations

Data pipelines

Job description

Honeycombsoft is seeking a Forward Deployed Engineer to bridge cutting-edge AI technology with client needs. You will sit with clients, write code, design and deploy AI agent systems, and own the path from a business problem to a working, adopted solution.

You will lead technical integration, architect AI agent teams, and run workshops to drive product adoption, delivering end-to-end client success and measurable business value.