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Designs and builds autonomous AI-driven data systems using LLMs, agent frameworks, and AWS services to power scalable, self-orchestrating pipelines and decision-making applications.
Lead enterprise-grade generative and agentic AI programs, designing secure, production-ready systems and reusable architectures for Fortune 500 clients across industries like insurance, healthcare, and banking.
Designs and delivers enterprise-scale AI platforms for a major bank, focusing on cloud-native GCP solutions, MLOps/LLMOps, and secure generative AI deployments.
Senior engineer building and operating production-grade generative AI systems (RAG, agents, copilots) for a large investment firm, integrating with enterprise data and MLOps tooling.
Lead a team building and deploying production-grade AI systems—like copilots and agentic workflows—while coding end-to-end solutions that integrate with enterprise data and meet regulatory requirements in a large financial firm.
Principal AI/ML Engineer defines enterprise-wide AI architecture, standards, and roadmap, leading large-scale LLM, Agentic AI, and MLOps/LLMOps platforms.
Embed with enterprise customers to prototype and deploy full-stack AI/ML applications, advising on architecture and operationalizing GenAI/agentic systems on Cloudera’s platform.
You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The…
Career Category Information Systems Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living…
Confido is the AI infrastructure powering modern CPG — the platform that 200+ brands like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana use to run everything from deductions to production planning. Finance,…
Designs and deploys enterprise-scale AI/ML and Generative AI solutions using Snowflake Cortex and cloud platforms, guiding clients from discovery to production deployment.
Build and deploy production-grade ML systems (NLP, LLM, classification) to automate healthcare workflows and improve operational efficiency for hospital systems and payors.
Research and build agentic AI systems with LLM-powered agents, graph machine learning, and knowledge graphs to improve autonomous decision-making for mission-critical applications.
Design and operate AI-augmented platform infrastructure for a fintech app, building agentic systems on AWS EKS, GitOps, and developer portals to reduce operational toil and boost engineering velocity.
Build and orchestrate enterprise-grade AI workflows for document extraction and lending systems using PyTorch, LangChain, and RAG in a regulated financial environment.
Senior engineer embeds with government clients to design and deploy GenAI solutions on Snowflake, prototyping working AI features and coaching teams on platform capabilities.
Design and build an AI-powered proposal generation system for private banking, integrating agent workflows, RAG, and regulatory compliance in a hybrid role.
Principal Engineer at Beamery designs and maintains scalable cloud infrastructure and Kubernetes platforms, mentors engineers, and sets reliability standards for AI-powered talent management software.
Designs and deploys end-to-end AI infrastructure for enterprises, integrating NVIDIA GPU clusters, high-performance networking, parallel storage, and AI software stacks to support large-scale model training and inference.
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