Key Responsibilities
• Define enterprise level AI architecture and design patterns for ML, Generative AI, and Agent based systems
• Establish reference architectures for common AI use cases (RAG, copilots, predictive models, automation, decision intelligence)
• Guide AI Engineers and Data Scientists in designing scalable, cost efficient, and production ready AI solutions
• Partner with business leaders to translate strategic objectives into AI solution roadmaps
• Ensure alignment with security, privacy, compliance, and responsible AI policies
• Evaluate AI platforms, frameworks, and vendors (cloud AI services, LLM providers, vector databases, orchestration tools)
• Define MLOps / LLMOps standards for model lifecycle, monitoring, observability, and retraining
• Support AI adoption enablement by contributing to internal best practices, architecture reviews, and technical forums
• Review and approve AI designs before production rollout
Required Skills & Experience
• Strong experience (8+ years preferred) in software and/or data architecture, with hands on AI exposure
• Deep understanding of:
o Machine Learning and Deep Learning architecture
o Generative AI (LLMs, embeddings, RAG, fine tuning)
o Agentic and workflow based AI systems
• Expertise in cloud platforms (Azure, AWS, or GCP) and AI services
• Experience designing microservices, APIs, event driven architectures
• Strong knowledge of security, IAM, encryption, and data governance in AI systems
• Ability to communicate architecture decisions to technical and non technical stakeholders
Salary Range: $120,000 to $150,000 per year
