Staff / Principal AI Engineer

About the role

This is a highly visible, hands-on technical leadership role focused on bringing practical AI innovation into both customer-facing products and internal business operations. The ideal candidate will bring strong architecture and engineering depth, but also a product mindset.

Responsibilities

• Lead the design, development, and deployment of scalable AI and machine learning solutions
• Architect generative AI systems, LLM-powered workflows, agentic solutions, and AI-enabled product features
• Build and optimize LLMOps pipelines supporting reliable deployment, evaluation, monitoring, and iteration of AI models
• Partner with product, architecture, data, engineering, innovation, and marketing teams
• Drive AI innovation within customer-facing products, training platforms, digital experiences, and lead conversion workflows
• Evaluate approaches for prompt engineering, context management, embeddings, retrieval, and model optimization
• Design AI systems with feedback loops, automated retraining, fine-tuning, and lifecycle management
• Build data pipelines and preprocessing workflows ensuring data quality, security, and regulatory alignment
• Provide hands-on technical leadership through architecture reviews, code contributions, and implementation guidance
• Mentor AI engineers and establish standards for responsible AI development

Requirements

• 8+ years progressive experience in software engineering, data, analytics, machine learning, AI engineering, or related roles
• 1+ year developing and implementing analytical, AI, or machine learning applications
• Hands-on experience building and deploying LLM-based solutions, generative AI applications, or AI-powered product features
• Strong understanding of machine learning, NLP, large language models, embeddings, retrieval patterns, and model evaluation
• Proficiency with Python, SQL, Hugging Face, Snowflake, and modern ML/analytics tooling
• Experience designing AI/ML solutions in Azure or comparable cloud environments
• Experience with CI/CD pipelines, Docker, Kubernetes, MLflow, or similar MLOps tools
• Ability to translate ambiguous AI opportunities into practical, scalable engineering solutions
• Strong product mindset with interest in customer experience, product innovation, and business impact
• Demonstrated ability to mentor engineers and influence technical direction
• Strong communication skills for presenting complex AI concepts to technical and non-technical stakeholders
• Bachelor’s degree in Computer Science, AI, or related field (or equivalent experience)

Nice to have

• Experience building AI agents or agentic workflows for internal business operations
• Exposure to AI security, responsible AI, model governance, or securing AI-enabled systems
• Experience applying AI to online shopping, customer acquisition, digital marketing, or lead conversion
• Familiarity with Answer Engine Optimization or Generative Engine Optimization concepts
• Experience with Azure AI services or comparable cloud AI platforms
• Background in education technology, training platforms, eCommerce, or digital learning

Compensation & Benefits

Salary range: $170,000 – $190,000 annually
Full-time role with benefits package available
Eligible for discretionary bonuses and participation in medical, dental, vision, and 401(k) plans

Job Details

Location: Remote (USA), Gilbert, AZ
Job Type: remote
Posted: 20 days ago
Categories: Software Engineering