All the above plus following
Ability to design scalable AI systems and integrate them into enterprise platforms. Experience in designing data pipelines, vector databases, or retrieval-augmented generation (RAG) systems. Familiarity with MLOps tools (MLflow) and observability practices.
Both candidates should have
Communication & Collaboration
Excellent written and verbal communication skills able to translate complex AI concepts for technical and non-technical audiences. Proven ability to work cross-functionally with product managers, data scientists, and business stakeholders. Comfortable leading technical discussions, demos, and documentation.
Educational & Experience Requirements
Bachelor's or master's degree in computer science, Engineering, Mathematics, or related field. 2 5 years of hands-on AI/ML development experience.
Preferred / Bonus Skills
Experience with Generative AI (OpenAI, Anthropic, Hugging Face, etc.)
Familiarity with LLM orchestration frameworks (LangChain, Semantic Kernel).
Knowledge of responsible AI, model explainability, and bias mitigation.
Contribution to open-source AI projects or research publications. (For AI Architect)
Experience mentoring junior engineers. (For AI Architect)
Key Soft Skills
Problem-solving mindset with creativity and adaptability.
Ownership and accountability for deliverables.
Continuous learner stays current with evolving AI technologies.
Team player with collaborative and inclusive communication style.
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