AI Engineering Lead

Job Description

Job Description

Lead AI Engineer

Company Overview

A leading consumer products and eCommerce organization based in Los Angeles, California is transforming the customer experience through innovation, technology, and data-driven decision-making. The company is focused on building scalable digital solutions that support business growth, operational excellence, and exceptional customer engagement. With a collaborative and forward-thinking culture, the organization empowers teams to solve complex challenges through modern technology and continuous innovation.

Role Summary

We are seeking an experienced Lead AI Engineer to drive the strategy, design, development, and deployment of enterprise-scale artificial intelligence solutions. Based in Los Angeles, California, this role will partner closely with business leaders, product teams, and engineering stakeholders to deliver AI-powered applications that create measurable business impact. The ideal candidate combines deep technical expertise with leadership experience and a passion for bringing innovative AI solutions from concept to production.

Key Responsibilities

• Lead the architecture, development, and deployment of scalable AI applications and intelligent workflow solutions.
• Partner with business and technical stakeholders to identify opportunities where AI can improve efficiency, decision-making, and customer experiences.
• Design and implement enterprise-grade AI systems with a focus on reliability, security, scalability, and performance.
• Provide technical leadership, mentorship, and best practices guidance to engineering teams working on AI initiatives.
• Develop integrations between AI platforms, cloud services, APIs, and enterprise business systems.
• Establish standards for model evaluation, monitoring, governance, observability, and cost optimization.
• Build and optimize AI-powered applications utilizing modern language models, retrieval systems, and agent-based architectures.
• Contribute to technical roadmaps, architecture reviews, documentation, testing, deployment, and continuous improvement efforts.
• Promote AI-assisted engineering practices that improve software quality, efficiency, and delivery speed.

Additional Details

• Hybrid work model
• Full-time position
• Opportunity to shape enterprise AI strategy and adoption
• High-visibility role with significant cross-functional collaboration
• Fast-paced, innovative technology environment focused on growth and continuous improvement

Required Qualifications

• 8+ years of software engineering experience, including recent experience leading enterprise AI initiatives.
• Expert-level Python development experience with modern AI and machine learning frameworks.
• Strong understanding of large language models, retrieval-augmented generation, model evaluation, fine-tuning concepts, and agent-based AI systems.
• Experience building and deploying production-ready AI applications at scale.
• Deep knowledge of cloud-native architectures and AI platforms within public cloud environments.
• Experience integrating AI solutions with enterprise applications, APIs, and data platforms.
• Strong background in software engineering, distributed systems, security, and system design.
• Demonstrated ability to lead cross-functional initiatives and influence both technical and non-technical stakeholders.

Preferred Qualifications (Nice-to-Haves)

• Experience developing multi-agent AI systems and workflow orchestration solutions.
• Familiarity with AI observability, monitoring, and evaluation platforms.
• Experience implementing AI governance, compliance, privacy, and security controls.
• Background supporting enterprise digital commerce, retail, or consumer-focused organizations.
• Experience mentoring engineering teams and building AI adoption programs across an organization.
• Passion for software craftsmanship, testing, maintainability, and continuous improvement.

Compensation & Benefits

• Salary range: $225,000 - $240,000 annually
• Comprehensive medical, dental, and vision coverage
• 401(k) plan with employer match
• Fertility and family-building benefits
• Unlimited paid time off
• Professional development and learning resources
• Employee discounts and company-sponsored programs
• Wellness initiatives and team-building events