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Umain

AI Technology Director

Umain

. Lead technology and AI conversations with senior client stakeholders as a CTO-level counterpart .

Posted 10/5/2026full-timeChicago • Illinois • United StatesLead💰 $200,000 - $225,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive expertise in AI technologies, including hands-on experience with LLMs, machine learning, and computer vision, while effectively leading teams and managing complex client engagements. Proven ability to set technical vision, architect solutions, and guide AI engineering efforts in a consulting environment.

Highest-signal resume keywords
10+ Years Engineering Experience3+ Years Hands-On AI ExperienceStrong Python Engineering SkillsExperience Deploying Applications on AWSTrack Record Architecting AI Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningComputer VisionLLMsEmbeddingsVector DatabasesFine-TuningEvaluationBackend SystemsData PipelinesDevOps
Soft Skills
LeadershipClient EngagementClear CommunicationJudgment in AI UseCuriosity
Tools & Technologies
AWSAzureGCPCI/CDContainersMonitoring
Industry Keywords
GenAIOn-Device AIPhysical AIRoboticsConsultingProposal ShapingTeam BuildingMulti-Team EngagementsData SecurityPrivacy

Tech Stack

Tools & technologies
AWSAzureGoogle Cloud PlatformPythonTypeScript

About the role

Key responsibilities & impact
  • Lead technology and AI conversations with senior client stakeholders as a CTO-level counterpart
  • Track developments across GenAI, agents, machine learning, computer vision, on-device AI, and physical AI
  • Translate AI developments into client advice and company direction
  • Set technical vision and architecture standards across AI work
  • Guide and mentor AI engineers
  • Make architectural choices and resolve complex technical problems
  • Prototype new capabilities when needed
  • Assess feasibility and risks involving data security, privacy, licensing, regulation, and responsible use
  • Oversee delivery from ideation through production
  • Keep teams focused, clear bottlenecks, and identify delivery risks
  • Join pitches, shape proposals, and define scope and budgets
  • Help build the North American AI engineering team
  • Collaborate with teams in Europe
  • Represent Umain’s AI work with U.S. clients and the wider industry

Requirements

What you’ll need
  • 10+ years of engineering experience
  • At least 3 years of hands-on AI experience
  • Several years in consulting or agency environments
  • Direct client experience on complex, multi-team engagements
  • Experience shaping and pricing proposals and scoping work as the technical authority
  • Perspective on AI direction and track record turning emerging opportunities into action
  • Experience building and shipping products or offerings
  • Track record architecting and overseeing complex AI solutions in production
  • Hands-on experience with LLMs, embeddings, vector databases, retrieval, agents, fine-tuning, evaluation, and major model providers
  • Experience beyond GenAI, including classic machine learning, computer vision, multimodal models, forecasting, or recommendation systems
  • Strong Python and/or TypeScript engineering skills, including backend systems and data pipelines
  • Experience deploying applications on AWS, Azure, or GCP
  • DevOps experience with containers, CI/CD, and monitoring
  • Ability to lead senior executive conversations and explain complex concepts clearly
  • Ability to turn vague client questions into concrete plans
  • Sound judgment regarding appropriate AI use
  • Curiosity about new capabilities and hands-on experimentation
  • Must be in Chicago or willing to relocate
  • Minimum 3 days in-office per week
  • Nice-to-have: experience with large consumer brands, edge or on-device AI, robotics, physical AI, or building a team/practice in a new market

Benefits

Comp & perks
  • Fully subsidized healthcare insurance premiums for employees and their families
  • Flexible time off
  • Minimum of 3 weeks off per year
  • Encouraged 2-week vacation increments
  • Inclusive decision-making culture
  • Collaborative work environment
  • Continuous learning
  • Transparency and trust
  • Equal opportunity and diversity and inclusion commitment