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Build and deploy AI agent workflows for growth automation, integrating systems like LLM APIs, monitoring, and content pipelines to execute marketing and paid media tasks.
Develop and ship AI-powered computer vision features for Apple’s Vision Products Group and Siri, integrating hardware and software for seamless user experiences.
Lead AI engineering teams to deploy Databricks solutions for clients, managing technical delivery and team performance.
Build and integrate computer-vision models into Apple Intelligence to enhance Siri and ecosystem features while maintaining user privacy.
Senior AI engineer deploying Snowflake-based solutions for clients, focusing on AI/ML integration and data platform optimization in a consultancy setting.
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000 people are united in a shared purpose to pursue the…
Build and deploy enterprise-scale AI systems using Python, working on automation and next-generation technology in a global organization.
Build and deploy AI systems for federal clients, focusing on defense, national security, and public safety applications.
Build and deploy AI agents and distributed Python backends for an AI-driven security platform that autonomously investigates cybersecurity incidents for enterprise customers.
Build and deploy enterprise-scale AI and data pipelines on Databricks, using Spark, Delta Lake, and dbt to automate agentic AI solutions and migrate data platforms for clients.
Build and maintain GenAI and agentic AI platforms for clients using Azure and Databricks, integrating AI frameworks to deliver scalable solutions.
Role - Senior AI Engineer Location - Alpharetta, GA Fulltime Morgan Stanely Experience: 8 Years Key Responsibilities Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. Develop REST APIs and…
Build and maintain the ML platform that trains, deploys, and monitors AI/ML models across Wealthsimple’s investing, crypto, and other financial products.
Build production-grade agentic AI systems that safely process financial data, designing ingestion pipelines, evaluation guardrails, and confidence scoring in Python.
Build and scale production-grade agentic AI systems using LLMs, multi-agent orchestration, and RAG pipelines across GCP, Azure, and AWS.
Design and build agentic and multimodal AI systems that combine LLMs, visual AI tools (e.g., ComfyUI), and enterprise stacks to create creative marketing and content experiences.
Design and build scalable AI software solutions for banking platforms, ensuring performance and maintainability while collaborating with product teams.
Builds and scales backend infrastructure for Google’s AI agent platform, enabling developers to create, deploy, and optimize enterprise-grade agents using GCP and AI workflows.
Design and build agentic AI workflows, integrate model APIs, and enforce policies for a product company.
Build AI agents and multi-agent workflows, integrate model APIs across providers, and modernize B2B processes with agent-driven automation.
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