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Designs and implements enterprise AI architecture, including GenAI (LLMs, RAG, agents) and production ML systems, ensuring scalability, integration, and governance across business functions like engineering, supply chain, and operations.
Leads AI/ML engineering for a fintech platform, designing predictive/generative AI solutions to improve financial wellbeing. Owns end-to-end AI lifecycle, mentors teams, and drives responsible AI practices at scale.
Principal Software Engineer builds and scales AI-powered .NET and React applications, integrating LLMs and RAG systems while leading full-stack development and mentoring teams.
Designs and implements AI-driven architecture solutions, integrating GenAI/ML components into enterprise systems for fintech clients. Balances high-level design with rapid prototyping to validate ideas and align with business needs.
Designs and modernizes data pipelines, migrating SQL Server to Hadoop/Databricks while enabling AI-driven insights and real-time analytics for Visa’s global payments infrastructure.
Designs and deploys advanced AI/ML models (4-7 years exp) using Agentic AI frameworks like LangChain, AWS Bedrock, and LLMs for business problem-solving, with a focus on RAG pipelines, prompt engineering, and secure AI agent workflows on AWS.
An AI Engineer at AIEH develops AI solutions for industry partners while mentoring AI apprentices in Singapore’s AI ecosystem, bridging research and real-world applications.
Senior AI Engineer at Santander's Center of Excellence AI, building production-ready AI solutions (GenAI, LLMs, RAG, Agentic AI) with end-to-end architectures on AWS using Python, MLOps/LLMOps, and container technologies.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
The AI Engineer will design, develop, and deploy Generative AI solutions, including chatbots, copilots, and RAG-based applications using Azure, Python, and various AI frameworks. The role involves integrating AI services into enterprise applications and maintaining MLOps workflows.
About this role: Wells Fargo is seeking a Process Engineering Manager. In this role, you will: Manage a team focused on process engineering initiatives, including building process sets and models Evaluate work to…
The Senior Deep Learning Engineer will design and build evaluation infrastructure for NVIDIA's frontier AI models, including LLMs and agentic systems. This role involves developing novel benchmarking methodologies and collaborating with research teams to guide model releases using large-scale GPU clusters.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and platforms to support enterprise reporting and AI-driven initiatives. The role utilizes technologies such as Azure, Databricks, Snowflake, and dbt to ensure high-quality data availability for the foundation's mission-driven work.
Designs AI-powered customer experience architectures for Genesys Cloud, combining LLMs, RAG, and workflows to enable real-time, scalable, and secure AI solutions for global enterprises.
Assist in designing and implementing cloud-based and AI-powered solutions (RAG, chatbots, copilots) for enterprise clients using Azure, AWS, and GCP, collaborating with senior architects on workshops, POCs, and technical proposals.
Build and operate the AI engine behind root cause analysis for an enterprise platform — owning the vector database (pgvector), embedding pipelines, RAG retrieval layer, Claude-based prompt engineering, confidence scoring, and evaluation frameworks using Python, FastAPI, and Pydantic.
Deploy and operationalize agentic AI and LLM systems into production across cloud, on-prem, and hybrid environments, integrating with enterprise APIs and data platforms using Python, Docker, and CI/CD pipelines.
This role involves developing and deploying advanced AI and agentic workflows to solve complex financial and operational challenges at BlackRock. The position requires a strong background in machine learning and data science to lead the full lifecycle of AI solutions from research to production.
Cloud and AI Security Engineer at Axos Bank in Manila, building security frameworks for AI/ML platforms, LLM applications, and multi-cloud infrastructure (AWS, Azure, GCP), focusing on AI-specific threat mitigation like prompt injection, adversarial attacks, and RAG security.
The Principal Applied AI Engineer will design and implement AI-driven agents and conversational workflows to optimize contact center operations for GE Appliances. The role involves architecting scalable solutions using LLMs, RAG, and cloud infrastructure to automate customer service interactions and transactional processes.
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