Lead Data & AI Platform Engineer

San Ramon, CA - USA

Yearly Salary: $ 180000 - 225000

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

WHY JOIN ALO

Mindful movement. Its at the core of why we do what we do at ALOits our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat making their lives and their communities better. Thats the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.

OVERVIEW

We are looking for a Lead Data & AI Platform Engineer to architect build and evolve the foundational platforms that power data science advanced analytics and AI across the company. This role is for a deeply experienced builder who has designed production-grade AI systems end to enddata models orchestration evaluation deployment and governanceand understands how to make them reusable reliable and scalable.

You will define the technical backbone for how teams experiment deploy and operate AI: from LLM-powered applications and agentic systems to classical ML analytics and decision intelligence. This is a hands-on high-leverage role with broad architectural influence.

RESPONSIBILITIES

- Architect and own the Data & AI platformcovering 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 designprivacy security auditability and human-in-the-loop evaluation.
- Act as a technical north starreviewing 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 pragmaticyou 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.

QUALIFICATIONS

- - Platforms & Infrastructure: Cloud-native architectures (AWS GCP Azure)
  - Kubernetes Docker CI/CD infrastructure-as-code
  - Vector databases feature stores workflow orchestration
  - Data & MLOps: Data pipelines model lifecycle management monitoring experimentation
  - Offline and online evaluation A/B testing human-in-the-loop systems
  - AI / ML / GenAI: 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.

The base salary range for this position is $180000-$225000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location experience and performance. As such on occasion and when applicable there is the possibility that the final agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the companys total rewards package for exempt employees. Other rewards may include performance bonuses long term incentives a PTO policy and many other progressive benefits.

For CA residents Job Applicant Privacy PolicyHERE.

Required Experience:

WHY JOIN ALOMindful movement. Its at the core of why we do what we do at ALOits our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat making their lives and their communities better. Thats the real meaning of studio-to-street: taking the con...

WHY JOIN ALO

OVERVIEW

RESPONSIBILITIES

- Architect and own the Data & AI platformcovering 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 designprivacy security auditability and human-in-the-loop evaluation.
- Act as a technical north starreviewing 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 pragmaticyou 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.

QUALIFICATIONS

- - Platforms & Infrastructure: Cloud-native architectures (AWS GCP Azure)
  - Kubernetes Docker CI/CD infrastructure-as-code
  - Vector databases feature stores workflow orchestration
  - Data & MLOps: Data pipelines model lifecycle management monitoring experimentation
  - Offline and online evaluation A/B testing human-in-the-loop systems
  - AI / ML / GenAI: 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.

For CA residents Job Applicant Privacy PolicyHERE.

Required Experience:

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

Apply Now

About Company

Alo Yoga

Shop the best yoga wear & accessories for yoga and working out. Wear-tested by yogis for the best fit. Shop celeb-approved yoga pants, workout tights, leggings, capris & lounge for women & men at aloyoga.com.

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