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Design and lead the enterprise AI architecture for a portfolio of software businesses, setting standards and reusable patterns to operationalize AI across products and processes.
Senior SRE builds automation, observability, and AI-driven ops to keep TJX’s global retail systems reliable and self-healing in Azure.
Build and optimize AI systems for customer service automation using LLMs, prompt engineering, and RAG pipelines to improve interactions and efficiency.
Designs and leads prompt engineering strategies, reusable patterns, and evaluation frameworks for building scalable LLM-powered applications and agentic workflows.
Build and ship production-grade AI solutions using LLMs, agents, and RAG pipelines for enterprise clients, integrating with Adobe Experience Platform and other marketing tech stacks.
Build cloud-native life-sciences apps with AI at their core, leading full-stack React/Django development, AI integrations, and DevOps on AWS/Azure/GCP.
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Designs and builds AI agents that automate workflows across Allegion, embedding with teams to translate needs into reliable, evaluated solutions with human oversight.
Build full-stack AI-driven UX for agentic workflows in a regulated bank, integrating Python/TypeScript tools with enterprise systems to deliver trustworthy, explainable automation.
Build and maintain the AI orchestration, knowledge management, and governance infrastructure that powers enterprise agentic AI systems for a large bank.
Lead generative AI and LLM projects for JPMorgan Chase, building retrieval-augmented systems, evaluations, and production pipelines using Amazon Bedrock and Cortex to improve banking operations.
Design and lead AI/ML architecture for aerospace and defense systems, including generative AI and MLOps, ensuring scalable, secure, and compliant solutions.
Build and scale production-grade RAG systems for enterprise search and question answering using LLMs, vector databases, and retrieval pipelines.
Design, build, and deploy ML models and AI systems for a global talent marketplace, spanning data prep to production monitoring using Python, TensorFlow/PyTorch, and MLOps tooling.
Build and scale the Python/FastAPI backend that powers Salesforce’s multi-agent AI orchestration, handling stateful sessions with Redis and integrating LLM reasoning in production.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Customer Success Job Details About Salesforce Salesforce…
Own AI-powered product discovery and autonomous shopping features for B2C commerce, defining search and Agentforce workflows with engineering, data science, and UX teams.
Develop and optimize AI models for customer service automation using prompt engineering and fine-tuning, integrating them into production systems to improve interactions and satisfaction.
The Digital Marketing & AI Enablement Intern supports the development and execution of digital marketing programs and AI-powered solutions for clients and internal teams. This role combines traditional digital…
Build data products (dashboards, models, apps) that help Greystar’s business teams make faster, sharper decisions using SQL, Python, Databricks, and AI tools.
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