AI Engineer

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Who We Are At Kyndryl, we design, build, manage, and modernize the mission‑critical technology systems that the world depends on every day. As the world's largest IT infrastructure services provider, we partner with enterprise clients across industries to drive transformation through innovation, automation, and AI at global scale. We are seeking an AI Engineer to help lead the design and delivery of intelligent automation and agentic AI solutions that enhance productivity, improve decision‑making, and unlock measurable business outcomes for both Kyndryl and our customers. Role Overview As an AI Engineer, you will design, develop, and deploy enterprise‑grade AI and intelligent automation solutions, spanning low‑code platforms (e.g., Microsoft Power Platform and Copilot Studio) and pro‑code frameworks (e.g., LangChain, Semantic Kernel, Azure AI, and open‑source agentic stacks). This role sits at the intersection of engineering excellence, innovation, and business transformation, enabling next‑generation, AI‑powered solutions across infrastructure, operations, and enterprise workflows. Key Responsibilities Solution Design & Development • Design and implement end‑to‑end intelligent automation and AI agent solutions using: • Microsoft Power Platform (Power Apps, Power Automate, Dataverse) • Microsoft Copilot Studio • Pro‑code AI frameworks and services • Build agentic AI systems leveraging large language models (LLMs), reasoning engines, memory architectures, and orchestration frameworks such as: • LangChain • Semantic Kernel • Azure AI Foundry Agentic AI & Intelligent Applications • Develop custom AI agents capable of planning, reasoning, and acting across enterprise systems via APIs, tools, and multi‑turn conversations. • Create AI‑driven business applications that blend user input, enterprise data, and intelligent responses to improve operations, service delivery, and decision‑making. • Design and support retrieval‑augmented generation (RAG) and memory‑enabled architectures for scalable enterprise use cases. Integration & Platform Enablement • Integrate AI solutions with: • Microsoft Graph • RESTful services • External enterprise and hyperscaler platforms (Azure, AWS, GCP) • Ensure seamless interoperability across infrastructure, application, and data layers. Stakeholder Collaboration • Partner with Kyndryl engineering teams, architects, and business stakeholders to identify high‑value AI use cases. • Translate business requirements into secure, scalable, and production‑ready AI solutions aligned with client and organizational goals. Innovation, Governance & Scale • Stay current on advancements in generative AI, agent frameworks, and prompt engineering, proactively recommending modern approaches. • Ensure solutions adhere to enterprise governance, security, compliance, and data privacy standards. • Contribute to Kyndryl AI communities of practice, reusable assets, and scalable delivery patterns. Your Future at Kyndryl Kyndryl offers a clear, merit‑based career progression model with opportunities to grow within the engineering job family. With strong performance and continuous learning, you can advance into senior technical leadership roles such as: • Senior Engineer • Principal Engineer • Distinguished Engineer • Vice President of Software Engineering These roles provide the opportunity to influence strategy, mentor teams, and drive innovation across some of the world's most complex enterprise environments. Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies. Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment. Who You Are Required Skills and Experience • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. • 2+ years of experience designing or delivering AI solutions, including intelligent automation, chatbots, or AI agents. • Proficiency with Microsoft Power Platform, including: • Power Apps • Power Automate • Copilot Studio (or Power Virtual Agents) • Hands‑on experience with LLM technologies (e.g., OpenAI, Azure OpenAI Service). • Experience integrating REST APIs and external data sources into applications. • Strong skills in prompt engineering, natural language processing (NLP), and understanding LLM capabilities and constraints. • Familiarity with agent orchestration frameworks (e.g., LangCh