Head of AI Solutions Delivery (Forward-Deployed)

nimblegravity; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

nimblegravity is seeking a leader to direct a forward deployed engineering team that translates ambiguous client needs into production AI systems. You will blend people leadership with hands-on technical guidance, working directly with clients to shape solutions and improve delivery practices across concurrent engagements.

You will hire and mentor engineers, drive architecture discussions, and prototype implementations involving AI agents, tool use, and integrations, while collaborating with

Qualifications

• 15+ years of software engineering experience.
• 5+ years leading engineers or technical teams.
• Experience delivering client-facing work through consulting or forward deployed roles.
• Hands-on experience with large language models and agent-based patterns.
• Strong Python or TypeScript skills with API design, CI/CD, and cloud fundamentals.

Responsibilities

• Hire, coach, and grow engineers, setting expectations for technical quality and client communication.
• Manage scope, quality, timelines, and results across multiple client engagements.
• Lead client demonstrations, architecture discussions, and delivery workshops.
• Stay close to implementation by prototyping and reviewing designs involving AI agents and integrations.
• Identify next phases of work and shape them with account leaders.
• Develop reusable engineering patterns and playbooks with cross-team collaboration.

Skills

Software engineering

Leadership

Client-facing consulting

LLM / AI agents

Python

TypeScript

API design

CI/CD

Cloud fundamentals

Communication

Job description

nimblegravity is seeking a leader to direct a forward deployed engineering team that translates ambiguous client needs into production AI systems. You will blend people leadership with hands-on technical guidance, working directly with clients to shape solutions and improve delivery practices across concurrent engagements.

You will hire and mentor engineers, drive architecture discussions, and prototype implementations involving AI agents, tool use, and integrations, while collaborating with