AL
ML Ops Enterprise Architect
Artech LLC
- 🌏 Worldwide
- Remote
- Senior
- 1 day ago
- $58 – $60 / hour
- Machine Learning
- AWS
- Kubernetes
- Argo
- Kubeflow
- Airflow
- AI/ML
- MLOps
- AWS SageMaker
- GCP
- Vertex AI
- Databricks
- Apache Airflow
- Devops
- Argo Workflows
- Salesforce
- Snowflake
- Redshift
- BigQuery
- OpenAI
- Gemini
- LangGraph
- AutoGen
- ADK
- MuleSoft
- Event-Driven Architecture
- Data Architecture
- AI
- TOGAF
- AIOps
1 day ago
Location: Remote
Duration: 6 Months
Salary Range: $58.00 - $60.00/Hour on W2 (Without Benefits).
Applicants must be willing to work on W2
Job Description:
Experience Required: 10+ years
Machine Learning Experience: 7+ years
Job Summary
- This horizontal role defines and governs technology strategy that supports multiple business units and domains across the organization.
- This role acts as the critical link between business strategy and technology execution for the entire portfolio.
- It operates with broad autonomy and complexity under the guidance of senior team members, influencing executive decisions, shaping strategic roadmaps, and leading initiatives that span platforms and technologies.
- Designs and develops IT architecture strategy, standards and roadmap while creating Enterprise architecture delivery (integrated process, applications, data and technology) in alignment with Enterprise architecture vision and direction.
- Requires specialized depth and/or breadth of expertise in Enterprise Architecture or related field. Interprets internal/external business challenges and recommends best practices to improve products, processes or services.
- Architect and implement scalable AWS ML/AI cloud infrastructure in a multi-tenant SaaS environment.
- Collaborate with data scientists, data engineers, and IT teams to define requirements and best practices for ML model development, deployment, and monitoring.
- Evaluate and recommend tools, platforms, and cloud technologies for ML Ops, ensuring alignment with enterprise architecture standards.
- Oversee the integration of ML pipelines with existing enterprise data and application architectures. Familiarity with Guidewire integrations is highly desirable.
- Oversee ML/AI related Kubernetes cluster management and provide guidance on alternative ML/AI workflow orchestration options such as Argo vs Kubeflow, and ML/AI data pipeline creation, management and governance with tools like Airflow.
- Employ tools like Argo CD to automate infrastructure deployment and management.
- Mentor and guide technical teams on ML Ops architecture, tooling, and best practices.
- 5+ years: AI/ML Strategy & Roadmap Development
- 4+ years: MLOps Tools (e.g., AWS SageMaker, GCP Vertex AI, Databricks)
- 3+ years: ML & Data Pipeline Orchestration (e.g., Kubeflow, Apache Airflow)
- 2+ years: ML Feature Store Tools (e.g., Tecton, Databricks, FeatureForm)
- 3+ years: DevOps (e.g., Argo CD / Argo Workflows), Containerization (Kubernetes, ROSA)
- 3+ years: Enterprise Application Integration (e.g., Guidewire, Salesforce)
- 4+ years: Data Platforms (e.g., Snowflake, RedShift, BigQuery)
- 2+ years: GenAI Tools / LLMs (e.g., OpenAI, Gemini, etc.)
- 1+ year: Agentic AI Frameworks (e.g., LangGraph, Autogen, Google ADK)
- 3+ years: API Orchestration (e.g., Mulesoft, Google Cloud API)
- 3+ years: Data Mesh Architecture & Data Product Design
- 3+ years: Event-Driven Architecture (EDA)
- 4+ years: Scalable AWS ML/AI Cloud Infrastructure (Multi-tenant SaaS)
- 3+ years: Data Architecture Guidelines Development
- 3+ years: Security in Distributed Systems
- 4+ years: Designing Scalable, Decoupled Systems
- 5+ years: Strategy & Roadmap Creation
- 3+ years: Influencing with Data-Driven Insights
- 4+ years: Functional Knowledge of Insurance Domains (Policy, Claims, Services Ops) — Preferred
- 2+ years: Legal & Compliance Regulations in Insurance — Preferred
- 3+ years: Data Product Development for Functional Domains
- 2+ years: AI-Driven Business Process Automation
- High School Diploma or equivalent required.
- Bachelor's degree preferred.
- Master's degree preferred.
- Architect or senior-level industry certifications required upon hire.
- Second architect or senior-level industry certification required within 12 months of hire.
- TOGAF Certified EA Architect preferred.
- Digital: Machine Learning
- Digital: DevOps
- AIOps
- Enterprise Architecture
ML Ops Enterprise Architect · Artech LLC