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Senior specialized ML leadership at a known firm in a metro yields moderate applicant competition.
Role requires deep LLM, agentic AI, Bedrock, knowledge-graph, and MLOps expertise, so cross-industry transferability is low.
Explicit 8+ years, 3+ years ML leadership, and extensive mandatory tech stack make shortlisting highly strict.
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Architect and lead implementation of agentic AI systems including LLM-driven applications, autonomous workflows, and enterprise Knowledge Graph integration.
Drive adoption and engineering of AWS Bedrock for scalable, governed deployment of generative AI and LLM models within the enterprise.
Build and maintain MLOps pipelines and collaborate cross-functionally to ensure AI systems meet production, security, and governance standards.
8+ years software engineering experience with 3+ years in hands-on leadership of ML/AI initiatives including designing and deploying production machine learning systems.
Proficiency in full-stack development: Angular + TypeScript frontend and Python (Flask/FastAPI) backend with deployment on AWS containerized services.
Hands-on experience with LLMs, embeddings, vector search, RAG architectures, agentic AI systems, and AWS AI services especially Bedrock, SageMaker, Lambda, and others.
Bachelor's or Master's degree in Computer Science, Data Science or related field.
Experienced senior technical leader capable of setting AI/ML architectural direction and guiding enterprise platform evolution.
Strong expertise in agentic system design, orchestration, and cloud-native AI delivery within production environments.
Proven ability to collaborate across engineering, data, governance, and security teams to operationalize advanced AI capabilities at scale.