AI/ML Ops Enterprise Architect

PROLIM Global Corporation
Los Angeles, CA, United States
6 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

LangGraph Framework Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Web Services Data Analysis Applications Architecture BigQuery Software as a Service Cloud Computing Data Architecture DevOps
+32 more
Distributed Systems Machine Learning Octopus Deploy OpenAI Data Mesh Azure Machine Learning Salesforce.Com Software Deployment Systems Integration AI Infrastructure Enterprise Data Management Enterprise Application Integration Feature Store Google Cloud Enterprise Software Applications Large Language Models Snowflake Google Vertex AI Agentic-AI Event Driven Architecture AI Platforms Kubernetes AutoGen Data Management Machine Learning Operations Google Gemini Data Pipelines Apache Beam Guidewire Mulesoft Amazon Redshift Databricks

Job description

The ideal candidate will architect scalable ML/AI platforms in a multi-tenant SaaS environment, establish MLOps strategy and best practices, and work closely with data scientists, data engineers, DevOps, and enterprise IT teams., * Architect and implement scalable AWS ML/AI cloud infrastructure for multi-tenant SaaS environments.

  • Define enterprise standards and best practices for ML model development, deployment, monitoring, and governance.
  • Collaborate with data scientists, data engineers, and IT teams to establish MLOps requirements and architecture.
  • Evaluate and recommend MLOps platforms and technologies such as AWS SageMaker, Databricks, and Vertex AI.
  • Integrate ML pipelines with enterprise data and application architectures; Guidewire integration experience is highly desirable.
  • Provide architecture guidance for Kubernetes-based ML/AI environments.
  • Evaluate and guide workflow orchestration technologies such as Argo, Kubeflow, and Apache Airflow.
  • Design and govern ML/AI data pipelines, feature stores, and data products.
  • Use Argo CD / Argo Workflows for automated infrastructure and application deployment.
  • Establish security, governance, scalability, and reliability standards for distributed AI/ML systems.
  • Mentor technical teams on MLOps architecture, tooling, DevOps practices, and enterprise architecture standards.

Requirements

Enterprise Architecture, Artificial Intelligence (AI), Artificial Intelligence (AI), Enterprise Architecture, Cloud Computing, Amazon Web Services (AWS), Enterprise Data Integration, Software as a Service (SaaS), Data Science, Best Practices, We are seeking a Senior AI/ML Ops Enterprise Architect with 10+ years of enterprise architecture experience and strong expertise in AWS cloud, MLOps, AI/ML infrastructure, Kubernetes, data architecture, and enterprise integrations., * 10+ years of experience across architecture disciplines with significant enterprise architecture leadership.

  • 5+ years developing AI/ML strategy and technology roadmaps.
  • 4+ years of MLOps experience with platforms such as AWS SageMaker, GCP Vertex AI, or Databricks.
  • 3+ years with ML/data pipeline orchestration technologies such as Kubeflow and Apache Airflow.
  • 2+ years with ML feature store technologies such as Tecton, Databricks, or FeatureForm.
  • 3+ years with DevOps, Kubernetes/containerization, and technologies such as Argo CD or Argo Workflows.
  • 3+ years of enterprise application integration experience; Guidewire or Salesforce is highly desirable.
  • 4+ years with data platforms such as Snowflake, Amazon Redshift, or BigQuery.
  • 2+ years working with GenAI/LLM technologies such as OpenAI or Gemini.
  • 1+ year with Agentic AI frameworks such as LangGraph, AutoGen, or Google ADK.
  • 3+ years of API orchestration experience with MuleSoft or Google Cloud API technologies.
  • Strong experience with AWS, Azure ML, Kubernetes, Apache Beam, and enterprise architecture.

Architecture Experience

  • 3+ years with Data Mesh Architecture and Data Product Design.
  • 3+ years with Event-Driven Architecture (EDA).
  • 4+ years designing scalable AWS ML/AI infrastructure in multi-tenant SaaS environments.
  • 3+ years developing data architecture guidelines and standards.
  • 3+ years of security experience in distributed systems.
  • 4+ years designing scalable, decoupled enterprise systems.
  • 5+ years of technology strategy and roadmap development.
  • Strong ability to influence architecture decisions using data-driven insights.

Preferred Domain Experience

  • 4+ years of functional knowledge in Insurance, including Policy, Claims, and Services Operations.
  • 2+ years of experience with insurance legal, regulatory, and compliance requirements.
  • 3+ years of data product development for functional business domains.
  • 2+ years of experience delivering AI-driven business process automation.
  • Experience with Guidewire integrations is highly preferred.

About the company

PROLIM Global Corporation (www.prolim.com) is currently seeking AI/ML Ops Enterprise Architect for location, Woodland Hills, CA - Onsite or Remote, United State location for one of our Top clients., PROLIM is a leading provider of end-to-end IT, PLM and Engineering Services and Solutions for Global 1000 companies. They understand business as much as technology, and help their customers improve their profitability and efficiency by providing high value technology consulting, staffing, and project management outsourcing services.

Their IT and PLM consulting offerings include; Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud Solutions, Servers/Networking, Infrastructure, ERP Practices and QA Services. Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.

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