Description

You will shape the architecture of AI-driven applications across the enterprise.

Responsibilities

• Architect scalable, secure, and high-performing AI-enabled applications.
• Translate business and creative needs into technical architectures.
• Define standards, patterns, and reference architectures for AI applications.
• Drive application modernization using cloud-native and AI-native approaches.
• Ensure compliance with enterprise security, governance, and responsible AI.

Required Skills

• 17+ years of experience in application or software architecture.
• Strong track record designing enterprise-scale solutions.
• Knowledge of Generative AI, including LLMs, RAG, vector DBs, and prompt engineering.
• Strong cloud expertise in AWS, Azure, or GCP.
• Proficiency in Python, Node.js, or Java.
• Experience with microservices architecture.
• Familiarity with MLOps and AI integration (deployment, monitoring, optimization).
• Strong grasp of security, compliance, and governance in enterprise systems.
• Excellent communication and stakeholder influence skills.

Preferred Skills

• Knowledge of AI orchestration frameworks like LangChain or Semantic Kernel.
• Familiarity with DevSecOps and CI/CD pipelines for AI applications.

Key Skills

Education

Any Graduate