Back
Tier-1 brand but senior, niche AI architect reduces but doesn't eliminate applicant competition.
Role requires specialized enterprise AI, MLOps, and LLM experience, limiting cross-industry transferability.
Explicit 10+ years and specific LLM, cloud, and architecture requirements enforce strict screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and implementation of enterprise AI solutions focusing on Generative AI, LLMs, RAG, and AI automation frameworks.
Define enterprise AI architecture, reference patterns, and integrate AI with data platforms, APIs, and cloud-native services.
Drive innovation by developing AI proofs-of-concept, ensure AI governance and compliance, and mentor engineering teams on AI best practices.
Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or related technical field.
10+ years in software engineering, solution architecture, data engineering, or enterprise application development with at least 3 years delivering AI/ML solutions.
Hands-on experience with Generative AI applications using LLMs, RAG, vector databases, prompt engineering, and AI orchestration frameworks.
Strong proficiency in Python and experience with cloud platforms (AWS, Azure, Google Cloud) including AI/ML services and modern data platforms.
Experienced leader in enterprise AI solution architecture with practical exposure to Generative AI and AI integration at scale.
Strong background in architecting scalable, secure cloud-native enterprise solutions with APIs, microservices, and MLOps.
Capable of translating business needs into AI solutions, influencing technical and business stakeholders, and mentoring engineering teams.