Data & AI Architect

Siri InfoSolutions Inc; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Siri InfoSolutions Inc is hiring a Data & AI Architect to design and deliver end-to-end AI/ML solutions remotely for the US market. You will lead architecture sessions, collaborate with data scientists and engineers, and establish scalable, secure pipelines using Azure and Databricks.

Key responsibilities include translating business problems into AI solutions, implementing MLOps, and mentoring junior team members while ensuring compliance and governance standards.

Qualifications

• Strong expertise in Azure AI & Data services (Azure ML, Synapse, Data Lake, Data Factory, Functions).
• Hands-on Databricks experience with Spark, Delta Lake, MLflow, notebooks, and orchestration.
• Proficiency in Python, SQL, and ML frameworks (TF, PyTorch, scikit-learn).
• Experience with MLOps: CI/CD, model versioning, monitoring, and retraining.
• Deep understanding of data architecture, feature stores, and real-time inference.
• Familiarity with Docker and Kubernetes and API development for model serving.
• Excellent communication and stakeholder management skills.
• Azure certifications are a plus.

Responsibilities

• Architect end-to-end AI/ML solutions using Azure services and Databricks.
• Lead technical design sessions and guide teams on scalable, secure AI solutions.
• 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 workflows with Spark and Delta Lake.
• 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.

Skills

Azure ML

Azure Synapse

Azure Data Factory

Azure Data Lake

Azure Functions

Databricks

Spark

Delta Lake

MLflow

Notebooks

Job orchestration

Python

SQL

TensorFlow

PyTorch

Scikit-learn

MLOps (CI/CD)

Model monitoring

Retraining

Data architecture

Feature stores

Real-time inference

Docker

Kubernetes

API development

Stakeholder management

Azure Certifications

Tools

MLflow

Docker

Kubernetes

API development

Job description

Job Title: Data & AI Architect

Location: Remote

Fulltime

Roles & Responsibilities:

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.