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Designs secure, compliant AI ecosystems for Bank of America, establishing controls for governance, explainability, bias detection, and auditability across enterprise AI platforms.
Architect and build production-grade GenAI systems including RAG pipelines, LLM integrations, and agentic applications using Python, FastAPI, vector databases, and cloud platforms (AWS/Azure) at a data analytics scale-up.
AI Engineer at Barclays building full-stack GenAI solutions (LLMs, RAG, vector stores) using Python or Java with React/Angular, delivered via cloud-native DevSecOps with Docker, Kubernetes, and CI/CD.
Develops AI/ML solutions (predictive models, generative AI, agentic systems) for government case management modernization, focusing on compliance, MLOps, and data-driven decision tools.
Build and lead AI systems for legal, tax, and compliance domains using LLMs, RAG, and agentic architectures, setting technical standards and driving innovation at a global scale.
Lead applied analytics, statistical modeling, ML/AI, and automation use cases across Technical Development at Gilead Sciences, partnering with scientists and IT teams to build decision-support capabilities using Python, R, LLM/GenAI, and knowledge graphs.
Designs and deploys enterprise AI/ML solutions (Generative AI, LLMs, RAG) on AWS, focusing on scalable, production-grade architectures and MLOps/LLMOps pipelines for Unum’s income protection business.
Design and implement enterprise-scale AI reference architectures, guardrails, and LLMOps foundations to make AI usable, secure, and cost-efficient in regulated environments.
Lead the design and delivery of production-grade Generative AI and LLM platforms at HPE, covering architecture, fine-tuning, RAG, and multi-tenant distributed systems using Python, Golang, AWS, and frameworks like LangChain and PyTorch.
Principal Engineer at HPE architecting and building production-grade Generative AI and LLM platforms using Python, Golang, AWS, and AI/ML frameworks like LangChain and PyTorch in a hybrid role in San Juan, Puerto Rico.
The AI Architect leads the design and delivery of enterprise-scale AI, Generative AI, and Agentic AI solutions on the Azure platform. This role involves defining AI roadmaps, architecting intelligent systems, and guiding multidisciplinary teams to drive business value for clients.
The Director of Enterprise AI Platform Engineering will lead a team to build and operate the core infrastructure governing AI workloads, including AI gateways, policy engines, and observability tools. This role focuses on creating a secure, scalable, and compliant platform that enables enterprise-wide AI adoption.
The Principal Architect for the AI Platform will serve as the primary architectural authority for BMO's AI engineering function, defining standards and governance across AWS, Azure, and Microsoft 365 environments. This role involves leading architectural coherence for AI initiatives, ensuring regulatory compliance, and mentoring engineering teams to deliver scalable, secure AI solutions.
AI Platform Architect at Definity (insurance) defining and governing the enterprise GenAI platform — LLM integration, RAG patterns, MLOps/LLMOps pipelines, and responsible AI guardrails on GCP/AWS.
The Senior AI Engineer will build and maintain generative AI agents and classical ML models in production using Azure AI Foundry and Python. This role focuses on executing technical specifications, implementing LLMOps frameworks, and ensuring system observability within a global team.
Build and deploy AI systems for public safety, including computer vision, speech recognition, NLP, and generative AI, across cloud and edge devices.
Director-level role owning application and AI security end to end for a healthcare specialty care platform—leading a growing team across secure SDLC, AI/ML security (OWASP LLM Top 10, MITRE ATLAS), DevSecOps pipeline security, and threat modeling in a HIPAA-regulated environment.
The Lead Full-Stack GenAI Engineer will design, build, and deploy secure Generative AI and agentic AI solutions within a credit union environment. This role involves hands-on development of Python-based AI services, RAG pipelines, and React/TypeScript front-ends while establishing engineering standards for AI production and operations.
Senior platform engineer building and scaling AI-powered internal tools and shared infrastructure for a digital bank, using cloud-native stacks and generative AI frameworks.
The Full Stack AI Engineer designs and builds scalable AI solutions using LLMs, RAG architectures, and vector databases to automate enterprise workflows. The role requires expertise in Python, cloud-native development, and MLOps/LLMOps to deliver secure and compliant AI applications.
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