Senior AI/ML Enterprise Architect

Job Title : Senior AI/ML Enterprise Architect / MLOps Architect

Location : ONSITE- Woodland Hills, CA or Remote

Client: TCS / CL-BFSI Americas

c2c: upto 48$

Positions: 4

Role: AI ML Ops Enterprise Architect

Descriptions:

"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."

"Experience Requirements

Minimum ten years experience across architecture disciplines with significant

enterprise architecture leadership experience required.

Data & Analytics Technology Experience Required

5+ years: AI/ML Strategy & Roadmap Development.

4+ years: MLOps Tools (Eg. AWS Sagemaker, Google Cloud Platform Vertex AI, Databricks).

3+ years: ML & Data Pipeline Orchestration (Eg. Kubeflow, Apache Airflow).

2+ years: ML Feature Store Tools (Eg. Tecton, Databricks, Feature Form).

3+ years: DevOps (Eg. Argo CD / Argo Workflows), Containerization (Kubernetes,

ROSA).

3+ years: Enterprise Application Integration (Eg. Guidewire, Salesforce).

4+ years: Data Platforms (Eg. Snowflake, RedShift, Big Query).

2+ years: GenAI Tools / LLMs (Eg. OpenAI, Gemini, etc.).

1+ year: Agentic AI Frameworks (Eg. Lang Graph, Autogen, Google ADK).

3+ years: API Orchestration (Eg. Mulesoft, Google Cloud API).

Architecture Experience Required

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.

Domain Experience Required

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."

Skills: Digital : DevOps~Digital : Azure Machine Learning (ML)~Apache Beam~Enterprise Architecture

Experience Required: 8-10