AI Architect

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