Designs enterprise AI solutions using machine learning, NLP, deep learning, generative AI, LLMs, RAG, and agentic frameworks. Builds scalable architectures involving cloud platforms, microservices, APIs, distributed systems, data platforms, MLOps, LLMOps, CI/CD, Docker, and Kubernetes. Translates business needs into optimized AI systems while managing stakeholder communication, cost, risk, and performance.
AI Architect JD
Required Skills & Expertise
Technical Skills
- Strong
expertise in Machine Learning, NLP, Deep Learning, and Generative AI
- Experience
with LLMs, RAG, Agentic AI frameworks
- Proficiency
in Python, Java, or similar programming languages
- Cloud
platforms: Azure / AWS / GCP
- AI/ML
frameworks: TensorFlow, PyTorch
- Knowledge
of data engineering, data platforms, and big data tools
- Experience
with MLOps / LLMOps pipelines and CI/CD
Architecture & Engineering
- Enterprise
architecture and system design
- Microservices,
APIs, distributed systems
- DevOps,
containerization (Docker, Kubernetes)
Business & Consulting Skills
- Strong
stakeholder management and communication
- Ability
to translate business problems into AI solutions
- Cost,
risk, and performance optimization
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