Jobs at Kyndryl

The Data Scientist will develop and implement GenAI solutions, focusing on NLP and AI technologies. Responsibilities include working on LLM projects and collaborating with teams to integrate AI solutions into cloud environments.

Build and deploy production-ready generative and agentic AI solutions for customers. Responsibilities include customer engagement, rapid prototyping, multi-agent orchestration, RAG implementation, end-to-end deployment, performance optimization, security, documenting deployment insights, and contributing code and feedback to AI platforms. The role combines engineering, consulting, and product collaboration, often working directly on customer premises.

Build and deploy production-ready generative and agentic AI solutions directly with customers. Responsibilities include translating business needs into technical solutions, rapidly prototyping, developing multi-agent systems and RAG architectures, deploying and optimizing scalable systems, troubleshooting performance and reliability issues, documenting field learnings, and contributing code and feedback to internal AI platforms. The role requires customer engagement, technical communication, continuous learning, and willingness to work on customer premises and travel as needed.

The JD Edwards CNC Engineer will perform installation, configuration, and maintenance of JD Edwards environments, oversee upgrades, manage system performance, and ensure security and access control, while collaborating with teams for optimal resource allocation.

Provide functional SAP FI/CO and BPC support across S/4HANA Finance environments, ensure accurate group reporting and profitability tracking, maintain data consistency, handle month-end closing support, manage incidents using ITIL processes, and perform basic ABAP debugging while communicating technical issues to finance stakeholders.

The SAP PS Functional Consultant provides 24x7 support for the SAP Project Systems module, managing project accounting and integrating with finance modules to ensure effective financial monitoring.

Lead the configuration and support of SAP HR modules, manage HR master data, and collaborate to optimize talent management workflows.

Install, configure, maintain, and troubleshoot firewalls and IPS; optimize rules and signatures; analyze network traffic; respond to security incidents and perform root cause analysis; design and maintain network security architecture and policies; coordinate with OEMs/TAC for upgrades and fixes; mentor junior staff and collaborate across teams.

The Network Support Engineer will install, maintain, and troubleshoot networks, ensuring optimal performance and security while providing user support and resolving issues.

Develop and deploy Generative AI solutions, engage with customers, and integrate AI/ML into cloud environments, requiring strong expertise in AI technologies and hands-on experience.

Lead Workday HCM Compensation specialist responsible for designing, configuring, testing, and administering Workday Compensation and Advanced Compensation modules. Partner with stakeholders to run global merit and bonus cycles, support HCM core areas, create dashboards, audit data, translate requirements into solutions, and provide global support across Americas, EMEA, and APAC.

Manage end-to-end payroll processing and ensure accurate, timely pay. Coordinate third-party payroll system implementations/upgrades, interpret pay policies, apply leaves/union rules, maintain compliance with federal/state regulations, and support offboarding and vendor relations.

Define target-state infrastructure architectures, roadmaps, governance, and transition plans across data center, cloud, hybrid, network, compute, storage, virtualization, containers and platform environments. Lead assessments, migrations, capacity planning, performance optimization, disaster recovery, security compliance, and vendor evaluations. Advise on modernization, automation, IaC, DevSecOps, SRE, FinOps, and AI-ready infrastructure. Support RFPs, executive presentations, and mentor junior architects while ensuring architecture alignment with business, regulatory, and operational requirements.

Define enterprise architecture and modernization roadmaps; advise clients on cloud, application, data, AI, and integration strategies; lead architecture assessments; design scalable, secure hybrid-cloud solutions using modern patterns and platforms; support RFPs, executive presentations, and cross-functional delivery to achieve measurable business outcomes.

Define enterprise architecture and modernization roadmaps, advise clients on cloud, application and AI adoption, lead architecture assessments across domains, design scalable hybrid-cloud solutions, guide modernization patterns (APIs, microservices, serverless, containers), support AI-enabled transformation (RAG, vector search, agentic workflows), shape product vision and business cases, and lead cross-functional teams and executive-level solutioning.

Define enterprise application architectures and modernization roadmaps; establish standards, governance, and reusable patterns; lead assessments and design of cloud-native, API-first, microservices, event-driven, and AI-enabled systems; guide integration strategies, vendor selection, and executive recommendations; support RFPs, technical due diligence, and cross-functional delivery to ensure secure, scalable, maintainable application ecosystems.

Define target-state enterprise infrastructure architectures and roadmaps across data center, cloud, hybrid, network, compute, storage, virtualization, containers and platforms. Lead assessments, design secure/resilient solutions for mission-critical banking and enterprise workloads, advise on migrations, IaC, automation, DevSecOps and AI-ready infrastructure, support vendor evaluation, RFPs, governance, and mentor teams.

Embed with customers to scope, prototype, and deploy production-grade agentic and generative AI solutions. Own client relationships, technical direction, delivery, optimization, observability, and mentoring of FDE squads while contributing platform feedback and rapid prototypes to drive measurable business outcomes.

Lead design, build, and governance of GCP platform infrastructure to deliver secure, scalable production systems. Build and operate GKE and Cloud Run workloads, develop Terraform modules, implement OPA policy-as-code, design CI/CD pipelines, execute VM-to-container migrations, enforce IAM/org policies, produce runbooks/docs, and optimize performance and cost.

Design, implement, test, and deploy software components for AI-powered solutions. Build and maintain CI/CD pipelines, write unit tests, integrate cloud and distributed systems, work with data engineering tools (Pandas/Spark), and collaborate with stakeholders to estimate and deliver features.