Head of AI

United Tech

. Define and drive the company's AI strategy, turning business opportunities into a structured roadmap of AI initiatives .

Posted 11/5/2026full-timeRemote • UkraineLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and executing AI strategies, with a strong focus on building and deploying LLM-based solutions and evaluating their business impact. Proficient in integrating AI into workflows and establishing engineering standards for AI development.

Highest-signal resume keywords

AI Strategy DevelopmentLLM-Based Solutions DeploymentImpact Evaluation of AI InitiativesEngineering Standards for AI DevelopmentClaude Certified Architect – Professional (CCAR-P)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Development LifecycleMulti-Agent Systems DesignCustom MCP Server DevelopmentContext EngineeringInference Economics OptimizationAI Security PoliciesEvaluation FrameworksGenerative Features ImplementationMeasurement FrameworksInternal Tool Development

Certifications & Qualifications

Claude Certified Architect – Professional (CCAR-P)Claude Certified Developer – Foundations (CCDV-F)

Industry Keywords

AI InitiativesBusiness Impact EvaluationEngineering ProductivityDORA MetricsSPACE MetricsGenerative AIAI AgentsModel Performance EvaluationCost Per Unit OptimizationPrompt Injection Protection

About the role

Key responsibilities & impact

Define and drive the company's AI strategy, turning business opportunities into a structured roadmap of AI initiatives
Identify, evaluate, and prioritize AI use cases across product development and internal business processes
Lead the design and implementation of production-ready LLM solutions, including AI agents, multi-agent systems, and generative features
Build and scale internal AI tools that improve engineering productivity and are actively adopted by other teams
Evaluate the business case for AI initiatives before development, estimating expected impact, development costs, and inference expenses
Establish measurement frameworks to assess the actual impact of AI solutions, define baselines, and distinguish real improvements from external factors
Introduce engineering standards and best practices for AI development, including architecture, evaluation, security, and reliability
Work closely with engineering and product teams to integrate AI into existing workflows, development processes, and products

Requirements

What you’ll need

5+ years of software development experience (candidates with less experience may be considered if they have strong relevant expertise)
2+ years of hands-on experience building and deploying LLM-based solutions in production, including AI agents, integrations, and generative features
Experience developing internal tools and AI solutions actively used by other teams
Ability to evaluate the economics of AI initiatives, including expected business impact, development costs, and inference costs
Experience measuring the actual impact of implemented solutions, defining baselines, choosing measurement methods, and separating results from external factors
Solid understanding of the software development lifecycle, including estimation, code reviews, and release management
Understanding of product metrics such as conversion, retention, ARPU, and unit economics
Upper-Intermediate (B2) English or higher
Experience designing and operating multi-agent systems in production
Experience building custom MCP servers
Advanced Claude Code expertise, including custom skills, commands, subagents, and hooks
Strong context engineering skills
Experience with evaluation frameworks, including offline evaluation datasets, LLM-as-a-judge, and detecting model performance degradation after updates
Understanding of inference economics and optimization techniques, including caching, batching, model selection, and cost per unit
Knowledge of AI security policies and practices, including prompt injection protection, data and secret leakage prevention, and agent permission management
Familiarity with DORA and SPACE engineering metrics
Claude Certified Architect – Professional (CCAR-P) or Claude Certified Developer – Foundations (CCDV-F) certification
2+ years of experience in a Tech Lead or Staff Engineer role would be a plus
Experience implementing RAG solutions for codebases or technical documentation would be a plus

Benefits

Comp & perks

20 paid vacation days
15 sick days
6 additional days off for family events
Up to 10 additional days off for public holidays
100% medical insurance coverage
Sports and equipment reimbursement
Team building events
Corporate gifts and stylish merch
Financial and legal support
Maternity recovery support allowance
Position retention and support for those who join the Armed Forces of Ukraine
Participation in social initiatives supporting Ukraine
Work from the Kyiv hub or remotely with a flexible schedule
Modern equipment or depreciation of your own tools
Collaboration with a highly-skilled team of Middle & Senior professionals
Performance-oriented reviews and Individual Development Plans (IDPs)
Reimbursement for professional courses and English classes
Corporate library, book club, and knowledge-sharing events