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Role Summary As a Full Stack Engineer (Agentic AI), you will be at the forefront of building cutting-edge AI-powered applications using modern technology stacks. This position involves working with multi-agent…
RESPONSIBILITY Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization. Perform data extraction, cleaning, transformation, and flow. Web…
Description Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization. Perform data extraction, cleaning, transformation, and flow. Web…
Senior Fullstack Platform Go Engineer Summary This role is part of the Global Tech team, responsible for building and maintaining scalable backend services, event-driven systems, and shared platform capabilities that…
Windows Systems Engineer - Expert This position requires an active TS/SCI with Polygraph clearance to be considered. Cherokee Preting is seeking an experienced Windows Systems Engineer – Expert to support multiple…
The Senior Principal Platform Engineer will lead the technical strategy and architecture for the AI Next Frontier (AINF) Workbench, a platform unifying AI-driven marketing and commercialization capabilities. The role involves building reusable agent frameworks, shared services, and scalable engineering standards using cloud-native technologies and AI orchestration.
The Senior Principal Platform Engineer will lead the technical strategy and architecture for the AI Next Frontier (AINF) Workbench, a platform designed to unify AI-driven marketing and commercialization workflows. The role involves building reusable agent frameworks, SDKs, and APIs to support scalable AI execution across the enterprise.
The Senior Fullstack Developer will own end-to-end development for digital commerce products, utilizing React, Next.js, and AWS. The role involves building scalable solutions, integrating AI, and managing infrastructure for a portfolio of consumer brands.
The Forward Deployed Engineer designs and deploys enterprise-grade agentic AI solutions using Salesforce's Agentforce platform. This role involves building multi-agent workflows, integrating with legacy ERP systems, and architecting real-time data grounding systems for enterprise customers.
This role involves modernizing mission-critical legacy applications for federal programs by integrating AI-enabled capabilities and cloud-native services. The developer will work with a modern tech stack including Python, Java, and AWS to refactor legacy systems while maintaining business continuity.
Team Context At Aflac Northern Ireland, we're building a comprehensive ecosystem of Third-Party Integrations (TPI) that seamlessly connect external partners, vendors, and service providers with our core insurance…
Overview Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the…
Senior Data Engineer building scalable data and AI platforms on AWS using Python, SQL, Docker, and IaC for mission-critical HR tech solutions used by governments worldwide. Hybrid role in Utrecht.
The Senior Software Engineer will join the AI Platform and Operations team to design and operate the Apollo platform, which provides governed, scalable AI capabilities for the enterprise. The role involves building core AI infrastructure, including model routing, agent orchestration, and observability, while mentoring team members and ensuring operational excellence.
Designs and builds enterprise-grade AI solutions using AWS Bedrock, integrating systems like ServiceNow and SAP with RAG pipelines and React frontends.
Designs and builds AI-powered IT help desk automation using AWS Bedrock and serverless tech to handle ticket triage, routing, and access workflows for enterprise clients.
Senior engineer building and scaling Okta’s cloud CI/CD and GitOps platforms on AWS and Kubernetes to securely deliver AI and other workloads.
Designs and builds secure, scalable data pipelines and analytics platforms for federal clients using AWS, Python, Spark, and modern data tools while ensuring compliance with FedRAMP and NIST controls.
Designs and builds scalable data pipelines and cloud-native analytics platforms for federal clients using Python, Spark, AWS services, and modern data formats, while ensuring compliance with FedRAMP and NIST security controls.
Build and operate a resilient, scalable data and ML platform using Databricks, Snowflake, and cloud-native tools to support healthcare analytics and AI workloads.
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