AI Engineer

Pax8

Agentic AI Engineer shaping AI-powered engineering practices at Pax8, a global cloud marketplace. Establishing standards, governance, architecture, and productivity systems across engineering.

Posted 8/18/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $200,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in shaping technical direction and driving AI-assisted software development across engineering organizations, with a strong focus on architectural principles, governance, and quality assurance. Capable of mentoring teams and influencing AI adoption while ensuring engineering excellence and productivity.

Highest-signal resume keywords

AI GovernanceScalable Distributed Systems DesignCloud-Native PlatformsStakeholder ManagementEngineering Standards Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Architectural PrinciplesAI Tools ProficiencySystems ThinkingEngineering ExcellenceMulti-Step AI WorkflowsEvaluation FrameworksAutonomous Agent SystemsContextual Knowledge ArchitecturesDurable Execution FrameworksPlatform Engineering

Soft Skills

Strong CommunicationInfluencing Without AuthorityMentoringConsensus BuildingLeadership

Tools & Technologies

AI-Assisted Development ToolsAutomation TechnologiesHosted Foundation Model PlatformsEnterprise AI ServicesVector Databases

Industry Keywords

AI AdoptionEngineering ProductivityQuality AssuranceTechnical StrategyEngineering Challenges

Tech Stack

Tools & technologies

CloudDistributed Systems

About the role

Key responsibilities & impact

Establish engineering standards, architectural principles, and development practices across the organization
Drive technical strategy for AI-assisted software development, including governance, quality assurance, and responsible AI adoption
Lead architecture reviews, technical design discussions, and engineering decisions for complex initiatives
Identify systemic engineering challenges and champion platform-wide productivity, quality, and scalability improvements
Evaluate emerging AI development tools, agentic engineering platforms, and automation technologies
Define measurement frameworks for effectiveness, safety, and quality of AI-assisted engineering workflows
Build consensus among senior technical stakeholders and align engineering investments with business objectives
Partner with engineering leadership, architects, and technology vendors to shape engineering capabilities
Mentor engineers and leaders on systems thinking, engineering excellence, AI fluency, and modern software development
Influence organization-wide AI adoption, developer experience, engineering quality, trust, and security

Requirements

What you’ll need

Demonstrated ability to shape technical direction across multiple teams or large engineering organizations
Extensive experience designing scalable distributed systems and cloud-native platforms
Proven capability to drive organization-wide engineering improvements and technology adoption
Deep architectural thinking focused on systemic challenges
Strong understanding of AI capabilities, limitations, governance, and responsible adoption
Expertise evaluating technology investments from technical, operational, security, and business perspectives
Advanced proficiency using modern AI tools to improve software development workflows and engineering productivity
Strong communication and stakeholder management skills with ability to influence without authority
Experience mentoring senior engineers and developing high-performing technical organizations
Valid right to work in the United States
Valuable additional experience with autonomous agent systems in production
Valuable additional experience with multi-step AI workflows, orchestration, or durable execution frameworks
Valuable additional experience with retrieval systems, embeddings, vector databases, or contextual knowledge architectures
Valuable additional experience creating evaluation frameworks for AI-generated outputs and agent performance
Valuable additional experience implementing AI governance models
Valuable additional experience with hosted foundation model platforms and enterprise AI services
Valuable additional experience defining engineering career frameworks, standards, or technical competency models
Valuable additional experience leading engineering productivity, developer experience, or platform engineering initiatives

Benefits

Comp & perks

Competitive compensation package
Annual bonus opportunity
Employee stock options
Comprehensive medical, dental and vision coverage
401(k) retirement plan with employer match
Flexible paid time off
Paid volunteer time
Wellness initiatives and employee assistance programs
Continuous learning and development opportunities
Dedicated professional development resources
Collaborative remote-first culture
Access to innovative technologies and AI-powered learning tools
Non-Commissioned Bonus Plans or Variable Commission
Employee Assistance Program
Employer Paid Short & Long Term Disability, Life and AD&D Insurance
Flexible, Open Vacation
Paid Sick Time Off
Extended Leave for Life events
RTD Eco Pass (For local Colorado Employees)
Career Development Programs
Stock Option Eligibility
Employee-led Resource Groups
Internal development hub
Specialist Learning & Development trainers
AI powered tools
"born in the cloud" mentors
Cross continent collaboration