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Job Description
Structured overview of role & requirementsAbout This Role
Design and deliver scalable, secure Generative AI solutions using LLMs, RAG, AI Agents, and vector databases.
Lead AI architecture including cloud platform design (AWS, Azure, GCP) and MLOps/LLMOps deployment pipelines.
Engage with business stakeholders to translate requirements into AI solutions and lead governance, security, and compliance initiatives.
Minimum Requirements
8–15+ years in software engineering, cloud architecture, or AI experience.
3–5+ years of experience specifically in AI/ML solution architecture.
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
Experience with cloud platforms AWS, Azure, or GCP and Generative AI frameworks and tools (e.g., LangChain, vector DBs).
Ideal Candidate Profile
Experienced architect with demonstrated ability to design end-to-end Generative AI solutions including deployment and governance at scale.
Comfortable leading cross-functional teams including data scientists, ML engineers, and working with senior business stakeholders.
Strong background in cloud-native AI solutions and operationalizing AI with MLOps and security compliance frameworks.