[Hiring] Senior Enterprise AI Platform Architect @Apptad, Inc.

Role Description

We are looking for a Senior Enterprise AI Platform Architect to define and lead the architecture of enterprise-scale AI and Generative AI platforms. The candidate should have strong experience designing secure, scalable, governed AI platforms capable of supporting multiple enterprise applications and business functions.

Key Responsibilities:

• Define enterprise AI/GenAI platform architecture and technology roadmap.
• Design scalable architecture for LLM, RAG, agentic AI, ML, and GenAI applications.
• Establish reusable AI services, APIs, frameworks, and platform components.
• Design integrations between AI platforms and enterprise applications/data sources.
• Define AI security, governance, monitoring, observability, and responsible AI standards.
• Evaluate LLMs, AI frameworks, vector databases, cloud AI services, and emerging technologies.
• Establish patterns for model deployment, LLMOps/MLOps, CI/CD, and production monitoring.
• Work with enterprise architects, security, data, cloud, and application teams.
• Provide technical leadership and architecture guidance across multiple AI initiatives.

Qualifications

• Enterprise architecture and AI platform architecture.
• Generative AI / LLM architecture.
• RAG and enterprise knowledge architecture.
• Agentic AI / AI agents.
• Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent.
• Vector databases and enterprise search.
• MLOps / LLMOps.
• API and microservices architecture.
• Cloud-native architecture.
• Data integration and data architecture.
• AI security, governance, responsible AI, and observability.

Ideal Profile

A senior-level architect who has designed enterprise AI platforms, not just individual AI applications, and can define architecture, standards, governance, security, and reusable AI capabilities across the organization.