At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your
The AIM (Analytics, Investment & Marketing Enablement) team – a part of GCS Marketing– is the analytical engine that enables Global Commercial business portfolio of American Express. Accelerating growth momentum, increasing profitability, and powering up our
About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner
Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the
Snr AI - (CREQ262395) Description Key Responsibilities 1. AI/ML Solution Development Design, build, and deploy machine learning and generative AI models (LLMs, embeddings, transformers, RAG pipelines, etc.). Develop scalable AI services and microservices using Python, REST APIs, and cloud-native technologies. Optimize
Company Description Jitterbit is a leading data, application, and process workflow automation solution. Rooted in iPaaS and fueled by an ambitious vision, we integrate critical business processes to deliver the experiences and insights needed by enterprises
Key Responsibilities 1. Solution Architecture & Technical Leadership Architect enterprise-grade agentic and LLM solutions (single-agent, multi-agent, tool-driven workflows) Define scalable GenAI system design patterns (RAG, orchestration layers, evaluation frameworks) Act as the technical anchor for GenAI
AI Evaluation Engineer Location: Gurugram, India Seniority: Mid-level (3-6 years) Purpose: Build and execute FNZs AI evaluation framework and tooling, working under the guidance of the AI Evaluations Team Lead to assess quality, safety, robustness, and operational suitability of
As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology
Location: Gurugram,Haryana,India Job Description: AI Engineer Location: Gurgaon Years of experience: 3-7 years Employment Type: Full-time About Us We turn customer challenges into growth opportunities. Material is a global strategy partner to the world’s most recognizable brands
NK Securities Research is a leading financial firm that leverages cutting-edge technology, data-driven research, and sophisticated algorithms to trade financial markets. Founded in 2011, we have built deep expertise in high-frequency trading across different asset classes.
AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture
About Gartner IT: Join a world-class team of skilled IT Operation Support Professionals who build the first line of attack for our associates for any of their IT related Support requests or issues and at the
Location: Gurugram,Haryana,India About US:- We turn customer challenges into growth opportunities. Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design
Key Responsibilities Architecture & Solution Leadership Lead the design of enterprise-grade GenAI and agentic architectures (single-agent, multi-agent, tool-driven systems). Define reference architectures, reusable frameworks, and best practices for LLM applications across the organisation. Architect and oversee
Key Responsibilities 1. Solution Architecture & Strategy Define and lead end-to-end architecture for enterprise GenAI platforms and use cases Design scalable agentic systems (single-agent, multi-agent, orchestration frameworks) Establish reference architectures, design patterns, and reusable frameworks Lead
Work Flexibility: Hybrid What You Will Do Design, develop, and deploy AI-powered applications leveraging Generative AI, Large Language Models (LLMs), Computer Vision, Machine Learning, and Agentic AI technologies. Build scalable backend services, APIs, and workflow orchestration components for AI solutions.
Key Responsibilities Design and develop LLM-powered applications using agentic patterns (single/multi-agent) for business use cases Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestration, response synthesis) Implement prompt engineering and orchestration techniques (prompt chaining, tool/function
Key Responsibilities Design and develop LLM-based applications using single-agent or simple multi-agent patterns for business use cases Build and maintain RAG pipelines: data ingestion → chunking → embeddings → retrieval → response generation Implement prompt engineering