Description At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It's why we're coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we're headed. We're proud to share our story and Make Amazing Happen at CDW. At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It's why we're coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we're headed. We're proud to share our story and Make Amazing Happen at CDW. Job summary We are seeking a Senior AI Engineer to transition our AI capabilities from "prototype" to "production." In this role, you will not just experiment with models; you will architect robust Agentic Systems that can plan, reason, and execute complex workflows autonomously for a wide variety of business user needs while experimenting with cutting-edge models and tools to push the boundaries of what's possible. The ideal candidate is a * forward-thinking engineer * who thrives on hands-on experimentation with AI models and frameworks, learns quickly, and is naturally curious. You will collaborate closely with product managers, business partners, and platform teams to deliver high-value AI agents that solve real-world problems across the enterprise What you will do: * Agentic Engineering & Orchestration * Workflow Design: * Architect complex, multi-agent workflows * using Microsoft * AI tech stack. * Design * , Develop and Deploy * agents to handle loops, interruptions, and human-in-the-loop interventions. * Tool Use & Function Calling: * Build reliable "tool layers" that allow LLMs to safely interact with internal APIs, databases, and third-party SaaS platforms (e.g., * SalesF * orce, Workday, ServiceNow etc. * ) * State Management: * Design persistence layers to manage agent memory, conversational history, and context windows efficiently. * Advanced Data & RAG Strategy * Retrieval Pipelines: * Build production-grade * data retrieval and integration * systems. Optimize vector indexing, document chunking, and re-ranking algorithms to ensure high-precision context retrieval. * Data Quality: * Collaborate with Data Engineers to curate "Golden Datasets" * for agent consumption * LLMOps, Evaluation & Quality * Automated Evaluation: * Build CI/CD pipelines for AI that include * "LLM-as-a-Judge" * testing. * Leverage * frameworks to score agent outputs for accuracy, hallucination, and safety before deployment. * Observability: * Instrument applications with tracing tools to visualize agent reasoning chains, monitor latency, and debug failures in production. * Cost Optimization: * Monitor token usage and latency, optimizing prompt density and caching strategies to maintain high performance at sustainable costs. * Innovation & Collaboration * Prototyping to Production: * Rapidly validate new ideas using state-of-the-art models * then refactor successful prototypes into maintainable, tested production code. * Standards Adoption: * Stay ahead of the curve by evaluating emerging * technologies * to standardize agent connectivity. What we expect of you * Core Engineering: Bachelor's degree and 5 years of software engineering experience, with exposure to AI/ML applications OR 9 years of software engineering experience, with exposure to AI/ML applications * AI Specialization: 2+ years specifically building with LLMs, with deep familiarity in: * Orchestration: LangChain, LangGraph, or similar state-based frameworks. * Vector DBs: Pinecone, Weaviate, or pgvector. * Prompt Engineering: Advanced techniques (Chain-of-Thought, ReAct, Few-Shot). * Production Mindset: Experience not just building demos, but operating them. You know how to handle rate limits, context window overflows, and non-deterministic errors. * Soft Skills: Ability to explain "probabilistic software" to non-technical stakeholders- managing expectations that agents are never 100% accurate, but can be 100% useful. * Excellent communication skills, with experience in documenting technical designs, sharing insights, and enabling team knowledge transfer. * What We Offer * Opportunity to design and build the next generation of enterprise AI agents. * A collaborative environment where experimentation and innovation are encouraged. * We make technology work so people can do great things. * CDW is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive. Pay range: $124,000 - $ 174,600 depending on experience and skill set Benefits overview: [https://cdw.benefit-info.com/](https://cdw.benefit-info.com/) Salary ranges may be subject to geographic differentials * We make technology work so people can do great things. * CDW is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive. CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law. CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, CDW's goal is to get to know you as an applicant and understand your experience, strengths, skills, and qualifications. While AI can help you present yourself more clearly and effectively, the essence of your application should be authentically yours. To learn more, please review [CDW's AI Applicant Notice](https://www.cdwjobs.com/pages/ai-applicant-notice).

Role Description We are currently seeking an AI Engineer with Java to join our team in Remote, Karnātaka (IN-KA), India (IN). - Specialized role focused on supporting, designing, developing GenAI applications. - Provides high touch service to Hanover users regarding changes in-scope of the support services. - Supports the GenAI applications including: - Model deployment - Configuration - Data integration - Architecture support - Prompt engineering - Issue resolution - Regression testing - Translates support issues into designs and develops the GenAI solutions, integrations, and prompt engineering. - Utilizes core development skills in tools such as: - Python - API builds and integrations - Gen AI patterns such as RAG and others - Azure cloud services - Have working knowledge of Gen AI frameworks (e.g., Semantic kernel). - Alternate between core development of GenAI services (e.g., LLM orchestration, embedding optimization, tool/function calling logic) and support of production GenAI applications (e.g., incident resolution, service monitoring, and root cause analysis for production deployments). - Implement and support RAG-based GenAI solutions integrating vector stores, chunking strategies, prompt pipelines, and semantic search frameworks (e.g., Semantic Kernel, Azure AI Search). - Write and maintain clean, modular Python code for GenAI applications such as LLM integration, data preprocessing, and tool-based agent design. Qualifications - Minimum Skills Required: Python with Core Java Company Description NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. - One of the world's leading AI and digital infrastructure providers. - Unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services. - Consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. - A Global Top Employer with experts in more than 50 countries. - Access to a robust ecosystem of innovation centers as well as established and start-up partners. - Part of NTT Group, which invests over $3 billion each year in R&D.

• Review and refine AI-generated outputs related to operational excellence, business process improvement, change management, and practical aspects of operations work • Evaluate AI responses for technical accuracy, practicality, and compliance with real-world requirements • Draft realistic operational scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. operations consultant, client, team leader, process owner) • Identify gaps, oversights, or weak reasoning in AI-generated operational content

• Review and refine AI-generated outputs related to growth marketing strategy, campaign execution, performance measurement, and practical aspects of the growth marketing process • Evaluate AI responses for marketing accuracy, strategic soundness, and compliance with real-world requirements • Draft realistic growth marketing scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. growth marketer, client, marketing leader, or business stakeholder) • Identify gaps, oversights, or weak reasoning in AI-generated marketing content