AI Engineering Director (Remote - US) - job 2 of 2

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Engineering Director in the United States.

The AI Engineering Director will lead technical strategy and delivery for high-impact, enterprise-scale AI initiatives in a fast-paced, client-facing environment. This role combines deep expertise in AI/ML, large language models, and data architecture with executive-level stakeholder management. The position requires driving architectural vision, coaching distributed engineering teams, and shaping AI capabilities that deliver measurable business outcomes. The ideal candidate will influence technical direction, support sales engagements, and act as a trusted advisor to senior leadership. This is an opportunity to lead innovation, collaborate across global teams, and make a lasting impact on cutting-edge AI solutions.

Accountabilities

·         Lead AI solution architecture and technical delivery for enterprise projects, ensuring scalable and maintainable systems.

·         Serve as the technical face for client engagements, collaborating with CTOs, SVPs, and product leaders.

·         Design, validate, and present frontier AI/ML solutions, including LLMs, data pipelines, and cloud-native implementations.

·         Coach and align distributed engineering teams across regions to maintain architectural consistency and delivery quality.

·         Influence technical strategy, support pre-sales activities, and communicate AI capabilities to executive stakeholders.

·         Ensure solutions meet regulatory, security, and data-sensitive requirements, particularly in healthcare or similar domains.

·         Provide thought leadership on AI best practices, model lifecycle management, and integration into enterprise environments.

·         Proven experience (5+ years) in engineering leadership roles, ideally in AI/ML or software development.

·         Strong technical expertise in AI, ML systems, LLMs, data pipelines, and cloud-native environments (AWS, Azure, GCP).

·         Demonstrated success in enterprise-scale architecture and delivery in regulated or data-sensitive contexts.

·         Exceptional executive presence and ability to influence C-level stakeholders.

·         Experience leading or mentoring globally distributed engineering teams.

·         Strong consulting, communication, and problem-solving skills; able to navigate complex client environments.

·         Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or related field; advanced degrees preferred.

·         Proficiency in Python, SQL, Java, Scala, or equivalent for data processing and AI implementation.

·         Hands-on experience with GenAI solution architecture, model selection, fine-tuning, and enterprise integration.

·         Familiarity with diverse data types (text, image, video) and techniques like anomaly detection, forecasting, and feature engineering.

·         Leadership role in a fast-growing technology company with global impact.

·         Opportunity to work with Fortune 500 clients and cutting-edge AI projects.

·         Collaboration with world-class teams across product, architecture, design, and engineering.

·         Comprehensive health insurance coverage for employees and families.

·         401k retirement plan and wellness programs.

·         Flexible work arrangements and inclusive company culture promoting innovation and professional growth.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

#LI-CL1