Opportunity For AI Architects

We are looking for an experienced AI Architect to design and lead scalable AI, ML, and Generative AI solutions for enterprise applications. The candidate will work closely with business, engineering, data, and cloud teams to define AI architecture, technology strategy, solution design, and implementation.

Key Responsibilities

• Design end-to-end AI/ML and Generative AI architectures for enterprise solutions.
• Define architecture for LLM, RAG, AI Agents/Agentic AI, NLP, and ML use cases.
• Evaluate and select appropriate AI models, frameworks, platforms, and technologies.
• Design scalable and secure AI solutions across AWS, Azure, or GCP.
• Work with engineering teams on model integration, APIs, data pipelines, deployment, and monitoring.
• Define MLOps / LLMOps practices for model lifecycle, evaluation, monitoring, and governance.
• Design solutions using vector databases, embeddings, prompt engineering, model orchestration, and RAG pipelines.
• Ensure AI solutions address security, privacy, scalability, performance, cost, and compliance requirements.
• Provide technical leadership and guide AI/ML engineers and development teams.
• Collaborate with stakeholders to translate business requirements into scalable AI solutions.

Must-Have Skills

• Strong experience in AI/ML architecture and solution design.
• Hands-on understanding of Generative AI, LLMs, RAG and Agentic AI.
• Strong Python programming experience.
• Experience with AWS / Azure / GCP AI services.
• Knowledge of LLM frameworks, vector databases, embeddings and AI APIs.
• Experience with MLOps/LLMOps, model deployment and monitoring.
• Strong understanding of REST APIs, microservices, cloud architecture and distributed systems.
• Excellent architecture, technical leadership and stakeholder management skills.