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,…