Modernization Engineer/FDE

Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role Your Role · Work closely with strategic customers as a Forward Deployed Engineer to solve complex technical challenges and deliver measurable business outcomes. · Combine engineering, consulting and product expertise to shape practical solutions, with a strong focus on AI adoption and modernization delivery. · Own delivery from scoping and prototyping through implementation, production rollout, adoption and optimization. · Use Generative AI, Agentic AI and multi-agent technologies to create business value in complex enterprise environments. · Act as a trusted technical partner who connects hands-on engineering excellence to customer outcomes. Key Responsibilities Client Discovery · Work directly with customers to understand business challenges, operating constraints, current-state workflows and desired outcomes. · Translate ambiguous requirements into structured technical solutions, prototypes, implementation plans and adoption paths. · Facilitate working sessions with customer stakeholders, product teams, engineering teams and consulting teams. · Capture field learnings, blockers, best practices and opportunities to improve reusable Kyndryl platforms, playbooks and delivery assets. Build & Delivery · Design, build and iterate custom AI and modernization solutions using modern software engineering practices. · Develop agentic workflows, RAG-enabled solutions, API integrations, enterprise automation patterns and production-ready prototypes. · Lead end-to-end delivery from scope definition through production deployment, adoption, troubleshooting and optimization. · Validate system performance, scalability, reliability, security and guardrails before and after deployment. · Maintain clear documentation of architecture decisions, dependencies, runbooks, design choices and reusable delivery patterns. AI Engineering · Apply Generative AI, Agentic AI, multi-agent systems and orchestration frameworks to solve customer problems at enterprise scale. · Integrate AI systems with enterprise APIs, cloud platforms, data stores, knowledge sources, vector databases and operational workflows. · Contribute feedback, code, patterns and field intelligence to Kyndryl platforms, frameworks, agent catalogs and reusable accelerators. · Continuously learn emerging AI, cloud and engineering capabilities and apply them to proposals, prototypes and delivery engagements Who You Are Required Skills and Experience · Hands-on development experience in Python or modern languages such as C#, Node.js or TypeScript. · Strong software engineering fundamentals across SDLC, Git/GitHub, APIs, backend services, automated testing, CI/CD and secure engineering practices. · Experience designing, building or integrating AI solutions using frameworks or tools such as LangChain, LangGraph, Semantic Kernel, Microsoft Agent Framework, AutoGen, CrewAI or equivalent. · Understanding of AI/ML frameworks and open-source AI tools such as TensorFlow, PyTorch, Hugging Face or comparable technologies. · Knowledge of RAG architectures, prompt engineering, structured and unstructured knowledge sources, SQL/NoSQL databases and vector databases. · Experience with cloud platforms, containers and distributed systems, including Azure, AWS or GCP, Docker and Kubernetes. · Ability to validate and improve performance, scalability, reliability, observability, data protection and security of AI-enabled solutions. · Strong consulting and stakeholder skills, including business problem framing, executive communication and translation of requirements into technical outcomes. · T-shaped profile with broad understanding of AI/ML, cloud, data, consulting and delivery, plus deep expertise in one or two areas. · Ability to operate in ambiguous, fast-moving environments with ownership, curiosity and a continuous-learning mindset. Preferred Skills and Experience · Degree in Computer Science, Informatics, Data Science, Engineering or a related field, or equivalent practical experience. · Real project experience implementing, operating and improving AI, Generative AI, Agentic AI or multi-agent solutions in production environments. · Experience building full-stack prototypes or production systems using frontend, backend, API, data and cloud services. · Experience with agent telemetry, observability, evaluation frameworks, guardrails, policy-as-code, knowledge graphs or semantic knowledge layers. · Experience integrating AI solutions into enterprise systems such as APIs, workflows, data platforms, knowledge repositories and cloud services. · Experience working with customers in regulated or mission-critical environments where reliability, security and compliance are essential. · Experience contributing reusable assets, reference implementations, solution patterns, code libraries, delivery playbooks or platform improvements. Being You The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way. What You Can Expect Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success. We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.