AI Architects design the overall structure of AI systems, ensuring they are scalable, secure, and aligned with business goals. They define technical roadmaps and oversee the implementation of AI projects.
Skills:
Proficient:
o Languages/Framework: Fast API, Azure UI Search API (React)
o Cloud: Azure Cloud Basics (Azure DevOps)
o Gitlab: Gitlab Pipeline
o Ansible and REX: Rex Deployment
o Data Science: Prompt Engineering + Modern Testing
o Data mining and cleaning
o ML (Supervised/unsupervised learning)
o NLP techniques, knowledge of Deep Learning techniques include RNN, transformers
o AI integration and deployment
o AI frameworks (PyTorch)
o AI/MLOps frameworks
o Model deployment processes

o Data pipeline monitoring

• Expert: (in addition to proficient skills)

o Languages/Framework: Azure Open AI
o Data Science: Open AI GPT 4/3, Embeddings + Vector Search
o Databases and ETL: Azure Storage Account
o Deep understanding of AI/ML algorithms and their applications
o Expertise in system design and architecture patterns
o Expertise in End-to-end AI solution delivery
o Knowledge of cloud-native AI solutions and microservices
o Familiarity with AI ethics, bias mitigation, and explainability
o Strong communication skills to collaborate with stakeholders
o Experience with AI deployment pipelines (MLOps)
o Knowledge of AI ethics frameworks and guidelines (e.g., EU AI Act, IEEE Ethically Aligned Design)
o Understanding of bias detection and mitigation techniques
o Familiarity with explainable AI (XAI) methods

o Strong understanding of data privacy laws (GDPR, CCPA)

• Ability to conduct AI impact assessments

Please refer the Job description for details