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Designs and implements AI/ML and generative AI solutions for enterprise clients, focusing on architecture, LLM/RAG pipelines, and MLOps—collaborating with data and product teams to scale AI from proof-of-concept to production while ensuring security, governance, and cloud platform integration.
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…
Build and deploy AI models and GenAI agents using Python, Azure, and LLM APIs to automate decisions and enhance financial products in a hybrid role.
Lead AI engineering for generative-AI copilots and RAG systems in a regulated financial-services environment, building production-grade Python/LLM pipelines on Azure.
Build agentic AI workflows in Python to automate corporate IT reliability tasks like incident triage, root-cause analysis, and remediation, using LLMs, RAG, and agent frameworks.
Build and deploy AI/ML models and GenAI copilots to optimize Amgen’s global supply chain, integrating LLMs, vector databases, and orchestration frameworks like LangChain to automate decisions and improve efficiency.
Design and implement scalable MLOps/LLMOps pipelines on AWS, including SageMaker, EKS, and CI/CD, to deploy and monitor production-grade AI models for enterprise clients.
Builds and deploys production-grade agentic AI systems (LLMs, RAG, orchestration) for American Express’s global commercial services, integrating with cloud-native stacks (Go/TypeScript/Python, AWS/GCP, Kafka, Kubernetes) to enhance customer-facing financial solutions.
Build production-ready AI features using Azure OpenAI, RAG pipelines, and MCP agents to enhance SaaS workflows like onboarding and data intake.
Build and deploy AI agents for Adobe Express, using LLMs, RAG, and multi-agent systems to power creative workflows and scale production systems.
Build and scale AI agents and reusable components for automation, using Python, LLM APIs, and cloud-native tools to productionize AI systems and optimize performance.
Senior role designing enterprise-scale AI and data architectures for Salesforce’s Agentforce and Data360 platforms, engaging C-suite customers across EMEA to drive adoption and strategy.
Build enterprise-grade GenAI apps in Python: LLMs, RAG pipelines, vector search, and agentic workflows for scalable, AI-powered solutions.
Build and maintain a corporate governance platform using Azure, React, Node.js, TypeScript and SQL, collaborating with stakeholders to deliver business-critical features.
Design and deploy enterprise AI solutions on Red Hat OpenShift AI, including GenAI, agentic AI, and MLOps workflows, while advising customers and leading project teams.
Lead the design and deployment of enterprise-grade AI/GenAI solutions, including RAG pipelines and intelligent workflows, using Python, LLMs, and enterprise integrations.
Supports financial planning, forecasting, and budgeting to drive strategic decisions and optimize business operations within an AI data foundry environment.
Build and maintain production-grade LLM evaluation frameworks and pipelines for a legal-focused AI analytics platform, continuously benchmarking models and optimizing document understanding and summarization workflows.
Build and deploy AI-powered agents, copilots, and automations to improve customer portals, service operations, and internal workflows using Python, Node.js, and AWS.
AVP / Senior Manager (C12) - USCC Operations Analytics (People Manager) Shape the Future of Operations Excellence Be a Problem Solver. Enable AI Transformation. Lead with Impact. Job Description Are you a…
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