Head of AI Solutions (Remote)

Overview

Lead the AI Solutions team, which takes high-value internal AI opportunities from request to production. Reporting to the Chief AI Officer, the Head of AI Solutions owns central build capacity allocation and is accountable for intake, prioritization, staffing, and delivery.

What you'll do

• Hire, develop, and lead AI solutions engineers, data engineers, and AI product talent.
• Set clear expectations for technical quality, delivery, and accountability.
• Run a transparent intake and prioritization process that evaluates business value, feasibility, risk, and reuse.
• Decide what receives central support, sequence the portfolio, and communicate decisions clearly.
• Lead discovery with business and technical teams.
• Define solution architecture, scope, success measures, dependencies, and credible effort estimates.
• Staff and lead virtual build pods, allocating engineering, data, and product capacity across concurrent initiatives.
• Secure support from the function, IT, AI Platform, Architecture, Privacy, and Security, and remove delivery blockers.
• Review critical architectures, implementation approaches, evaluations, and production-readiness decisions.
• Ensure solutions meet shared standards for security, privacy, reliability, observability, cost, and human oversight.
• Deliver against the agreed scope, complete a clean handoff, and review value after launch.
• Turn recurring needs into reusable solution patterns, evaluation assets, and delivery playbooks, and feed platform gaps back to AI Platform and Architecture.

What you'll need

• 10+ years designing, building, or deploying production systems, including 3+ years leading technical teams.
• Remain close enough to the work to review architecture, implementation plans, evaluations, and key technical decisions.
• A record of taking LLM-based or agentic solutions from discovery through production, with direct involvement in architecture, integration, deployment, evaluation, and operational readiness.
• Experience leading a solutions architecture, applied AI, engineering, platform, or shared-services team serving multiple business units, with responsibility for prioritization and capacity allocation.
• Strong technical scoping and estimation: turn an ambiguous request into a credible build plan and separate real blockers from manageable complexity.
• Working knowledge of agent and tool orchestration, prompt and context design, guardrails, evaluation, data modeling, APIs, identity, and cloud or hybrid deployment.
• Experience hiring and developing senior AI, engineering, data, and product talent, along with strong executive judgment and communication.

Nice to have

• Built or led an internal FDE, solutions architecture, applied AI, or enterprise AI delivery organization.
• Created validated designs or reference architectures spanning AI models, data, infrastructure, security, and enterprise systems.
• Delivered agentic AI for cybersecurity or another high-consequence operational environment.
• Deployed AI across cloud, data center, and hybrid environments.

Details

• Remote, USA.
• Base salary range for U.S. candidates is $235,000 - $350,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package including health insurance, 401k and paid time off.
• Expected close date of job posting: 12-12-2026.