ALO · 7 hours ago
Lead Data & AI Platform Engineer
Beverly Hills, CA
Full-time
Onsite
Lead/Staff
$180K/yr - $225K/yr
10+ years expALO is a company focused on mindful movement and better living. They are seeking a Lead Data & AI Platform Engineer to architect and evolve foundational platforms for data science and AI, ensuring reliability and scalability in production-grade systems.
ApparelFashionTextiles
Responsibilities
Architect and own the Data & AI platform—covering ingestion, feature pipelines, model development, LLM orchestration, evaluation, deployment, and monitoring
Design scalable GenAI and agentic architectures, including RAG pipelines, tool-using agents, multimodal systems, and hybrid ML + LLM solutions
Establish platform standards for experimentation, model evaluation, versioning, CI/CD, and production readiness across teams
Enable fast, safe innovation by creating reusable components, SDKs, templates, and internal tooling for data scientists, ML engineers, and product teams
Drive build vs. buy decisions for AI platforms, cloud services, vector databases, and orchestration frameworks with a strong cost, scalability, and flexibility lens
Partner closely with Data Science, Engineering, Product, and Analytics leaders to translate business needs into durable platform capabilities
Embed responsible AI practices into platform design—privacy, security, auditability, and human-in-the-loop evaluation
Act as a technical north star—reviewing designs, unblocking complex problems, and mentoring senior engineers across the org
A Lead engineer who thinks in systems, not just solutions
Equally comfortable designing architecture, writing production code, and reviewing others’ designs
Deeply pragmatic—you care about elegance, but you care more about reliability, adoption, and impact
Someone who has taken AI systems from research or prototype to real users at scale and learned the hard lessons
Qualification
Required
Cloud-native architectures (AWS, GCP, Azure)
Kubernetes, Docker, CI/CD, infrastructure-as-code
Vector databases, feature stores, workflow orchestration
Data pipelines, model lifecycle management, monitoring, experimentation
Offline and online evaluation, A/B testing, human-in-the-loop systems
LLMs, RAG systems, agentic frameworks, prompt and model evaluation
Build ecosystem for fine-tuning, hybrid ML + LLM architectures, NLP, multimodal systems
10+ years of experience across data engineering, ML/AI engineering, or platform engineering
Proven ownership of large-scale, production AI platforms used by multiple teams or products
Strong foundation in software engineering (Python-centric, APIs, microservices, distributed systems)
Experience supporting consumer-scale or enterprise-scale AI products
Prior work on AI Centers of Excellence or shared AI platforms
Background in retail, digital products, supply chain, or customer-facing AI systems
Benefits
Performance bonuses
Long term incentives
A PTO policy
Many other progressive benefits
Company
ALO
We are ALO.
501-1000 employees
H1B Sponsorship
ALO has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22)
2024 (3)
2023 (4)
2022 (4)
Funding
Current Stage
Late StageLeadership Team
Andrew Holland
General Counsel and Chief Legal Officer
Brittney Bohnert
Community & Partnerships Manager
Recent News
2026-01-16
Company data provided by crunchbase