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QuantumBlack, AI by McKinsey is seeking a senior AI/ML software engineer to lead the design and development of advanced AI solutions and scalable data pipelines. You will collaborate with a global network of…
Lead AI Engineer at Worley in Brisbane to design and implement AI solutions for project delivery, mentor teams, and integrate AI into client projects.
Lead AI Engineer designs and implements AI solutions for clients, blending strategy with hands-on ML engineering to deliver practical AI-driven outcomes.
Lead AI Engineer builds and deploys production LLM apps, designs reasoning agents, and integrates AI with cloud infrastructure and enterprise systems using Python and AWS.
Lead AI-driven creative projects, designing and scaling generative pipelines for image/video content, while guiding technical teams and aligning solutions with creative and business goals.
Lead AI-driven creative projects, defining technical strategies for image/video generation pipelines, automation, and model fine-tuning while guiding cross-functional teams to deliver scalable solutions.
Build and scale AI workflows for a healthcare startup that helps patients access prescribed medical technologies by automating insurance coverage processes using LLMs and structured agent systems.
Lead a team to build and deploy AI pipelines that detect emerging travel risks using LLMs, NLP, and geospatial analysis in AWS Bedrock and OpenAI.
Lead a small team to design, build, and deploy production-grade generative AI systems using Python, RAG pipelines, vector databases, and cloud platforms while mentoring engineers and aligning solutions with business goals.
Lead the design and deployment of AI-powered services, owning end-to-end AI solutions with a focus on architecture, data grounding, and production reliability in a regulated industry.
Lead the design and deployment of AI/ML features for a commercial real estate SaaS platform, including LLM-powered tools and custom domain models, while setting engineering standards and mentoring teams.
Lead a team to build and optimize scalable ELT pipelines on GCP using BigQuery, Dataform, and Cloud Workflows, focusing on cost, performance, and data quality.
Design and deploy secure, production-grade AI solutions for enterprise and government clients, focusing on architecture, governance, and MLOps/GenAIOps.
Lead Axos Bank’s AI engineering team, architecting enterprise-scale agentic systems, setting standards for LLMs and MCP integrations, and driving AI-native development across the bank.
Lead a small team to build AI-powered memory and proactive intelligence systems that track user context and alert on changes, coding more than 50% of the time.
Leads data strategy, GenAI, and MLOps for an edtech company, building scalable AI platforms and guiding analytics teams to drive data-driven decisions.
Lead the architecture and delivery of enterprise AI systems using LLMs, RAG, and AI agents, setting engineering standards and mentoring teams to build secure, scalable, and responsible AI solutions.
Lead AI architect designs enterprise-grade GenAI and autonomous agents, sets standards, and delivers scalable AI solutions on AWS/Azure/GCP while advising executives.
Lead the design and delivery of LLM-powered and agentic AI workflows for JPMorganChase’s internal employee platforms, integrating AI safely into enterprise systems while ensuring reliability and compliance.
Lead a team building cloud-native AI systems in Python, setting technical direction and driving engineering best practices for a product-focused company.
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