Data AI Architect

Siri InfoSolutions Inc; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Siri InfoSolutions Inc in Allentown, NY (Remote Role) is seeking a Data & AI Architect to design end-to-end AI/ML systems using Azure services and Databricks. You will lead technical sessions and mentor teams while collaborating with data scientists and business stakeholders.

The role emphasizes real-time inference, MLOps, secure data pipelines, and governance—applying best practices across the project lifecycle.

Qualifications

• Extensive Azure AI & data services experience.
• Hands-on Databricks and Spark experience.
• Strong Python/SQL and ML framework proficiency.
• Experience with MLOps and model governance.

Responsibilities

• Architect end-to-end AI/ML solutions using Azure and Databricks.
• Lead design sessions and guide scalable, secure AI projects.
• Collaborate with data scientists and engineers to translate business problems into AI solutions.
• Design and implement MLOps pipelines for training, deployment and monitoring.
• Optimize data pipelines and feature engineering with Spark/Delta Lake.
• Ensure data privacy, security, and governance compliance.
• Evaluate emerging AI tech and mentor juniors.

Skills

Azure AI

Databricks

Python & SQL

ML frameworks

MLOps

Data architecture

Feature stores

Docker & Kubernetes

API development

Stakeholder mgmt

Azure certs

Tools

Azure Data Factory

Databricks

MLflow

Spark

CI/CD

Notebooks

Job description

Data & AI Architect

Allentown, NY (Remote Role)

Fulltime role

Must Have Technical/Functional Skills

• Strong expertise in Microsoft Azure AI & Data services: Azure Machine Learning, Azure Synapse, Azure Data Factory, Azure Data Lake, Azure Functions.
• Hands-on experience with Databricks: Spark, Delta Lake, MLflow, notebooks, and job orchestration.
• Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, Scikit-learn.
• Experience with MLOps tools and practices: CI/CD, model versioning, monitoring, and retraining.
• Deep understanding of data architecture, feature stores, and real-time inference.
• Familiarity with containerization (Docker, Kubernetes) and API development for model serving.
• Excellent communication and stakeholder management skills.
• Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert) are a plus.

Roles & Responsibilities

• Architect end-to-end AI/ML solutions using Azure services (Azure ML, Synapse, Data Lake, etc.) and Databricks.
• Lead technical design sessions and guide teams on best practices for scalable and secure AI solutions.
• Collaborate with data scientists, engineers, and business stakeholders to translate business problems into AI solutions.
• Design and implement MLOps pipelines for model training, deployment, monitoring, and governance.
• Optimize data pipelines and feature engineering workflows using Spark and Delta Lake on Databricks.
• Ensure compliance with data privacy, security, and governance standards.
• Evaluate and integrate emerging AI technologies and frameworks.
• Provide technical leadership and mentorship to junior architects and engineers.