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Design and build autonomous AI agents using LLMs and agentic frameworks to streamline merchant communication and reduce operational costs in Rakuten’s ecommerce ecosystem.
The Senior Architect for AI Enablement will lead AI strategy and implementation at Cepheid, building POCs and integrating AI solutions into a Java-based technology stack. This role involves coaching engineering teams, establishing AI coding standards, and driving the adoption of generative AI tools across the organization.
Industry/Sector Not Applicable Specialism Customer Management Level Manager Job Description & Summary The Opportunity Join our Acceleration Center India and help shape the future of business for our diverse client…
Industry/Sector Not Applicable Specialism Customer Management Level Senior Manager Job Description & Summary The Opportunity Join our Acceleration Center India and help shape the future of business for our diverse…
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…
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.
Leads AI-driven development of enterprise systems, designing agentic UIs and intelligent automation to modernize Zebra’s SaaS and customer experience platforms using LLMs, React, and Java/Spring Boot.
Builds backend middleware APIs and integration hooks to embed AI security tools into enterprise AI pipelines, focusing on LLM security, agent workflows, and automated red-teaming.
Build and integrate a multi-tenant GenAI security platform in Python, connecting LLMs and agentic workflows to enterprise pipelines with middleware APIs, data ingestion, and security controls.
Develops AI-powered backend services in Java/Spring Boot, integrating LLMs and MLOps pipelines for Airbus’ space system data management tools.
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.
Develops AI/ML solutions for government clients, focusing on LLM-driven systems, full-stack engineering, and DevSecOps pipelines to modernize digital engineering capabilities.
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.
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.
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.
At HTEC, customers come to us with business problems they want to solve through AI: increasing revenue, reducing cost, transforming customer service, and modernizing how they build software or run operations. Your job…
Key Responsibilities Full Stack Application Development Design, develop, test, and deploy end-to-end web applications spanning frontend, backend services, APIs, and data layers Translate functional and non-functional…
Build and scale secure AWS infrastructure (EKS, Lambda, CI/CD) to run production AI/ML workloads, own observability, and drive platform reliability for Zscaler’s AI-forward security products.
Build and optimize AI agents using GPT models and prompt engineering for Brazil-Canada operations, integrating APIs and monitoring performance in a fast-paced, remote role.
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