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The Data Scientist will join the FCU Technology team to develop AI-driven solutions for anti-financial crime, utilizing Python, machine learning, and generative AI technologies. The role involves the full data science lifecycle, from research and prototyping to building production-ready data pipelines and AI agents.
Build and deploy production-grade AI-powered applications from experimental scripts, focusing on full-stack Python/TypeScript development, agentic AI workflows, and cloud-native AWS architectures.
Build and deploy production-grade LLM-powered agents and agentic workflows using RAG, tool orchestration, and reasoning to solve complex business problems at scale.
Leads Intuit’s internal AI agent development lifecycle platform, defining a scalable, secure framework for deploying AI agents across tax/accounting products. Focuses on unifying developer tooling, reducing deployment time, and integrating cutting-edge AI frameworks (e.g., Claude, OpenAI) into enterprise workflows.
Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a…
Designs and delivers AI-driven solutions for contact center analytics using agentic systems and knowledge graphs; bridges client needs with technical architecture while authoring BRDs/HLDs and representing the team to clients.
Company Overview Embark on an enriching journey with PROCEPT BioRobotics, where our vision, mission, and values guide everything we do as a company. At PROCEPT, we put the patient first in everything we do and are…
Leads full-stack development and AI agent integration for Citi’s applications, managing teams to design scalable, secure systems supporting complex AI workflows using React, Python/Java, LangChain, and cloud infrastructure.
Leads contact center testing and automation for PwC’s global clients, designing test suites for IVR, chatbots, and AI-driven workflows while managing teams and ensuring quality in CCaaS deployments.
Lead the design and development of ServiceNow solutions enhanced with AI agents, Graph RAG, and LangChain to automate workflows and improve user experiences using Python and JavaScript.
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.
Designs and implements enterprise-scale AI solutions, focusing on agentic systems, RAG architectures, and model provider integrations to build scalable, production-grade AI systems for media applications.
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 modernizes data pipelines, migrating SQL Server to Hadoop/Databricks while enabling AI-driven insights and real-time analytics for Visa’s global payments infrastructure.
Build and maintain cloud-native AI infrastructure on AWS and Azure, deploying and operating AI services, Kubernetes workloads, and MLOps tooling in a regulated banking environment.
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.
Lead the enterprise rollout of GitHub Copilot and build AI agents/agentic workflows to accelerate software delivery at FIS, using LLMs, Python, LangChain, and cloud platforms.
Designs AI-driven conversational systems and architectures, focusing on LLM-based workflows, agent orchestration (e.g., LangGraph), and Azure AI tools to enable scalable, observable, and secure AI solutions for enterprise clients.
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.
The Full Stack Engineer will design, build, and operationalize enterprise AI agents and web applications to automate workflows across business domains like HR and supply chain. The role involves full-stack development, API integration, and cloud platform engineering using technologies such as Python, JavaScript/TypeScript, and various AI agent frameworks.
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