AI / Machine Learning & Data Integration Architect/ SME

We are seeking an experienced AI/ML Data Integration Architect to lead the design and implementation of advanced data access, integration, and mining solutions across a hybrid environment comprising Windows and Linux systems, on-premise legacy infrastructure, and a private Azure cloud footprint (30%).

This architect will be responsible for leveraging AI/ML technologies, automation frameworks, and data mining techniques to unify and operationalize access to structured and unstructured data across SQL Server, Oracle, Exadata, ServiceNow, and SharePoint—with the goal of enabling smarter systems operations, predictive analytics, and scalable data delivery pipelines.

This is for project based statement of work. It could be time and material or fixed price deliverables. You would be involved in estimating timeline, and fixed price.

Key Responsibilities:

Architecture & AI/ML Strategy

• Design enterprise-scale data access and mining architecture that supports AI/ML workloads across on-prem and cloud environments
• Develop and implement machine learning-driven automation solutions for systems performance insights, anomaly detection, and predictive support operations
• Define and oversee implementation of feature extraction, model deployment, and intelligent orchestration systems in collaboration with AI/ML teams

🔗 Data Access & Platform Integration

• Architect secure, scalable interfaces between legacy systems and data sources including:
• SQL Server, Oracle, Exadata
• ServiceNow (via Table API / web services)
• SharePoint (Graph API, REST, or direct data layer integrations)
• Create reusable, version-controlled data access pipelines and metadata layers to support consistent model input/output

☁️ Hybrid Infrastructure Enablement

• Integrate legacy workloads with Azure-based private cloud services, enabling hybrid orchestration, AI compute workloads, and model-serving across environments
• Provide architectural guidance on data movement, federation, and caching strategies to minimize latency and maximize throughput for ML applications

🔐 Governance, Security, and Automation

• Establish data security, access control, and encryption standards aligned with policies
• Implement automated auditing, drift detection, and alerting mechanisms for systems and data pipelines
• Collaborate with InfoSec and Operations to ensure alignment with governance, risk, and compliance frameworks

Minimum Qualifications:

• 10+ years in systems architecture, infrastructure engineering, or enterprise data architecture
• Strong experience architecting in mixed OS environments (Windows + Linux), including hybrid cloud workloads
• Hands-on expertise with data integration from SQL Server, Oracle/Exadata, ServiceNow, SharePoint, and file-based systems
• Deep understanding of AI/ML lifecycle workflows — including data ingestion, feature engineering, model inference, and monitoring
• Experience with Azure services such as Azure Machine Learning, Azure Synapse, Azure Functions, Azure Data Factory, and Private Link/Networking
• Proficiency in Python, PowerShell, or Bash scripting, and REST API consumption
• Familiarity with data mining frameworks and tools like PyCaret, Scikit-learn, Spark MLlib, or similar

Preferred Qualifications:

• Knowledge of MLOps architecture including CI/CD pipelines for ML (e.g., MLflow, Kubeflow, Airflow, Argo)
• Experience using infrastructure-as-code tools (Terraform, ARM, Bicep) to deploy reproducible environments
• Prior experience modernizing large enterprise IT systems
• Exposure to ServiceNow CMDB schema, Graph API for SharePoint, or data classification systems
• Experience designing systems that integrate structured + unstructured data (e.g., documents, log data, KBs)

ABOUT ESG CONSULTING:

ESG Consulting is an award-winning national provider of diversified information technology consulting services to Fortune 1000, public sector entities, and emerging growth firms nationwide.

Founded in 1986, ESG offers more than 29 years of experience in the IT staffing, Engineering and consulting industry. While local to Atlanta we are headquartered in Santa Clara, we have opened offices nationwide and to this day are consistently re- evaluating and expanding our service offerings and geographic capabilities. Today, we serve most major metropolitan markets.

ESG is an equal opportunity company. Our flexible management culture believes in creating a business environment that fosters personal and professional growth and achievement. We make ESG a place where people are treated not as employees but as "partners".