Azure AI Architect: End-to-End ML & Data

Tata Consultancy Services; Allentown (NY); On-site; USD 160,000 - 170,000; Full time

Benefits offered by this job

Comprehensive Medical Coverage

401K Plan

Certification & Training Reimbursement

Vacation & Time Off

Job summary

Tata Consultancy Services in New York is seeking an experienced AI/ML Architect to design and deliver end-to-end solutions using Azure AI services and Databricks. You will translate business problems into scalable, secure AI outcomes and lead technical discussions with data scientists and engineers.

The role requires strong Python/SQL, ML frameworks, and MLOps practices, plus ability to communicate with stakeholders and mentor junior engineers.

Qualifications

• Bachelor of Computer Science required.
• Strong expertise in Azure AI & Databricks technologies.
• Proficient in Python and SQL, ML frameworks.
• Experience with MLOps, CI/CD and model governance.
• Strong data architecture and real-time inference knowledge.
• Excellent communication with stakeholders.

Responsibilities

• Architect end-to-end AI/ML solutions using Azure and Databricks.
• Lead technical design sessions for scalable AI systems.
• Collaborate with data scientists, engineers, and stakeholders to translate problems into AI solutions.
• Design and implement MLOps pipelines for training, deployment, monitoring, and governance.
• Optimize data pipelines and feature engineering with Spark/Delta Lake.
• Ensure compliance with data privacy and governance standards.
• Evaluate and integrate emerging AI technologies.
• Provide technical leadership and mentorship to teams.

Skills

Azure AI

Databricks

Python

SQL

ML frameworks

MLOps

Data architecture

Docker/Kubernetes

API for model serving

Stakeholder management

Azure certifications

Education

Bachelor of Computer Science

Tools

Databricks

Spark

Delta Lake

MLflow

Docker

Kubernetes

APIs

Job description

Tata Consultancy Services in New York is seeking an experienced AI/ML Architect to design and deliver end-to-end solutions using Azure AI services and Databricks. You will translate business problems into scalable, secure AI outcomes and lead technical discussions with data scientists and engineers.

The role requires strong Python/SQL, ML frameworks, and MLOps practices, plus ability to communicate with stakeholders and mentor junior engineers.