AI and Integration Architect

Ai Strategy & Architecture

Define the technical blueprint and roadmap for enterprise AI adoption. Architect scalable frameworks for LLM integration, RAG, and predictive modeling, ensuring cost-efficiency, scalability, and ethical AI standards.

Data Integration & APIs

Design high-performance, secure API services (RESTful, GraphQL) and event-driven architectures to connect disparate systems and power real-time AI applications.

Ai & Data Governance

Establish guardrails for data privacy, compliance, and security regarding AI training data, model inputs, and API access management.

Cross-Functional Leadership

Collaborate with executive leadership, data scientists, and product teams to translate business goals into production-ready AI and integration strategies.

Requirements

• 8+ years of experience in software architecture, system integration, or machine learning engineering, with at least 2-3 years dedicated to productionizing AI/LLM solutions

Qualifications

• PREFERRED: Experience in Azure Databricks