Jobs at Kyndryl

Build customer-facing prototypes that combine interaction design, software, data, AI agents, APIs, physical computing, and hardware. Translate opportunities into user journeys, service blueprints, and human-agent-system models; validate concepts through user research and co-design; present work in executive workshops; and package reusable patterns, code, testing evidence, and handoff materials. The role also explores emerging interfaces, edge sensors, microcontrollers, fabrication, and ambient feedback.

Leads pre-sales technology advisory for enterprise mainframe solutions. Designs modernization strategies, integrates mainframe databases and core systems with cloud platforms, develops technical architectures, and delivers demonstrations, proofs of concept, and prototypes. Collaborates with consulting, sales, architecture, delivery, customers, and alliance partners to create profitable solutions. Applies expertise in IBM mainframes, z/OS, CICS, DB2, IMS, replication, disaster recovery, performance tuning, and system optimization.

Build client-facing human-AI prototypes spanning interaction design, software, data, APIs, agents, connected devices, and physical or spatial experiences. Translate opportunity briefs into service blueprints, workflows, coded interfaces, and working demonstrations. Conduct co-design and user testing, diagnose interaction and AI issues, facilitate client workshops, manage smaller engagements, and package reusable patterns and production-ready handoffs. Explore sensors, edge devices, fabrication, and ambient feedback to advance human-AI collaboration.

Owns end-to-end delivery of cloud platform and infrastructure modernization across Azure, GCP, and AWS. Responsibilities include designing Kubernetes and GitOps platforms, building CI/CD pipelines with Terraform and Helm, implementing security and networking controls, supporting generative AI infrastructure, enabling application modernization, and instrumenting observability. The role also defines architectural guardrails, contributes reusable platform code, advises clients, and collaborates with AI and core platform teams.

Build and deploy production-grade agentic AI applications, generative AI features, RAG pipelines, and LLM integrations for customer engagements. Develop Python and FastAPI services, model data with relational and graph databases, implement governance guardrails, and instrument systems for observability. Collaborate with platform engineering on deployment and MLOps/LLMOps, modernize legacy workflows, troubleshoot reliability issues, and contribute reusable AI patterns and best practices.

Leads the technical direction and delivery of enterprise AI programs, designing agentic systems, multi-agent workflows, RAG pipelines, and generative AI applications. Builds production Python services, integrates databases and LLM tooling, establishes AI governance and observability, and partners with platform engineering on deployment. Translates enterprise needs into AI roadmaps, provides architectural oversight, mentors engineers, codifies reusable patterns, and communicates outcomes to senior stakeholders.

Lead platform architecture and delivery for enterprise digital transformation programs, designing cloud platforms across Azure, GCP, and AWS. Build Kubernetes, GitOps, IaC, observability, security, networking, and self-service developer platforms. Architect infrastructure for generative AI and agentic systems, guide application modernization, establish governance and guardrails, translate business requirements into technical roadmaps, and mentor multidisciplinary engineering teams and senior stakeholders.

The role involves leading client engagements, driving profitable growth through AWS technology, building relationships with C-suite executives, and fostering team development.

Lead and grow Kyndryl Consult within the UK Public Sector (Transport), owning client CxO relationships, originating and delivering large-scale digital transformations, driving profitable growth against revenue targets, overseeing delivery and team performance, and developing consulting talent and industry thought leadership.

Lead large, multidisciplinary consulting engagements focused on Microsoft cloud and AI. Build CxO relationships, drive $12-15M annual sales, scope and commercialize deals, manage post-deal implementation, mentor teams, and ensure commercially sound, measurable outcomes.