Kyndryl

AI Engineer

• Design and implement agent-based AI systems that can reason, plan, act, and self‑correct
• Build multi‑agent workflows (collaborative, hierarchical, or tool‑using agents)
• Implement memory, state management, tool orchestration, and long‑running agent processes
• Optimize prompt engineering, reasoning strategies, and evaluation pipelines
• Integrate and fine‑tune LLMs (open‑source and commercial) for agentic use cases
• Apply techniques such as RAG, function calling, planning loops, reflection, and self‑critique
• Evaluate model performance, reliability, safety, and cost trade‑offs
• Stay current with advances in agentic frameworks and AI research
• Build scalable, production‑grade AI services and APIs
• Design secure, fault‑tolerant, and observable systems
• Collaborate on system architecture, data pipelines, and MLOps practices
• Ensure high code quality through testing, reviews, and documentation
• Partner with product managers, UX, data scientists, and platform teams
• Mentor junior engineers and contribute to engineering best practices
• Translate business problems into agentic AI solutions
• Influence technical direction and roadmap for AI capabilities

AI Developer

Infrastructure Engineer

• Operate, maintain, and optimize z/OS LPARs, Sysplex, WLM, JES2/JES3, USS/OMVS, TSO/ISPF, SDSF
• Install, configure, and maintain mainframe software using SMP/E and vendor best practices
• Monitor and tune system performance using RMF, SMF, OMEGAMON (or equivalent), addressing CPU, memory, I/O, and throughput
• Support and administer DB2 for z/OS, CICS TS, IMS (DB/TM), and IBM MQ: configuration, health checks, upgrades/maintenance, performance tuning, and high availability
• Manage workload automation and batch scheduling with tools such as Control‑M, CA‑7, ESP/Autosys, or equivalent; ensure batch SLAs and critical path adherence
• Administer DFSMS (ACS routines, storage groups/classes), DFSMShsm (HSM policies, space management, migration/recall), and Catalog/ICF management (IDCAMS)
• Implement and maintain RACF/ACF2/Top Secret security controls; support audits and compliance (SOX, PCI, ISO, etc.)
• Drive incident, problem, and change processes (e.g., in ServiceNow): root cause analysis, post-incident reviews, and controlled deployments

Mainframe Infrastructure Engineer

Artificial Intelligence

• Define the AI/Agentic vision and strategy Kyndryl’s Network Managed Services
• Build and manage the roadmap, prioritizing releases based on customer needs and business objectives
• Collaborate with network engineering and development teams in an Agile environment
• Conduct user research and competitive analysis and analyze network and services data to gather insights
• Champion cultural transformation by implementing new processes and ways of working

Director, Offering Management – AI/Network Services

• Collaborate with customers to design and implement enterprise wider agentic AI solutions at scale
• Develop and maintain core software components for Agentic AI platforms
• Implement secure, scalable integrations across cloud-native environments (AWS, Azure, GCP)
• Collaborate and lead teams of architects and data engineers to deliver rapid MVP cycles, from concept to production deployment
• Work directly with customers as a subject matter expert, providing thought leadership, delivering bespoke solutions, and driving innovation

Forward Deployed AI Engineer

Solutions Engineer

• Work closely with customers to understand their unique challenges and provide cutting-edge technical solutions
• Develop resiliency solutions for our services and offerings
• Collaborate with Technical Solutioning and Solutioning Managers during technology and business discussions
• Demonstrate the value of our solutions to decision makers
• Create innovative technical solutions that align with industry trends
• Compile, refine, and take ownership of final solution documents
• Contribute to the growth and success of Kyndryl by standardizing go-to-market pitches

Resiliency Solution Architect

Data Engineer

• Definir la arquitectura de datos objetivo para la migración de Oracle Exadata a Google Cloud (BigQuery).
• Diseñar arquitecturas cloud escalables, resilientes y optimizadas en entornos GCP.
• Establecer estándares de modelado, integración, calidad y gobierno del dato.
• Diseñar estrategias de migración, modernización y transformación de plataformas de datos.
• Definir frameworks de ETL/ELT para ingesta, transformación y explotación de datos.
• Diseñar arquitecturas de datos orientadas a analítica avanzada e integración con Vertex AI.
• Optimizar rendimiento, costos y seguridad en entornos BigQuery.
• Asegurar cumplimiento de políticas de seguridad, privacidad y gobierno del dato.
• Actuar como referente técnico ante equipos de ingeniería y stakeholders de negocio.

Data Architect

Database Administrator

• Manage and administer the backbone of technological infrastructure
• Configure, install, and maintain database management systems
• Manage user access and implement security standards
• Create backup and recovery plans
• Support end users and application developers
• Conduct capacity planning and growth projections
• Coordinate systematic database project plans
• Propose and implement enhancements for performance and reliability

Mainframe DB2 Database Administrator – SME

Full-stack Engineer

• Design, develop, and implement cutting-edge software solutions
• Responsible for implementing identified components from design documentation and functional specifications
• Ensure that components are documented, unit-tested, ready for integration
• Architect solutions, test code, and build a CI/CD pipeline for it
• Provide work estimates, guide features or technologies being built

Senior Software Engineer – Full Stack Development

Software Engineer

• Solve complex problems and identify potential future issues across the spectrum of platforms and services
• Manage systems data for clients and provide day-to-day solutions and security compliance
• Oversee a queue of assignments and work directly with technicians, prioritizing tickets to deliver the best solutions

zSystems Network System Programmer

• designing, developing, and maintaining large‑scale data pipelines using Python, PySpark, and SQL
• building and optimizing data ingestion, transformation, and processing workflows on AWS using services such as Lambda, Glue, EMR, S3, Athena, DynamoDB, Step Functions, MWAA, EventBridge, SNS/SQS, and Kinesis
• implementing secure, scalable, and reliable cloud solutions aligned with AWS best practices through IAM, CloudWatch, CloudTrail, and Secrets Manager
• working extensively with modern table formats like Apache Iceberg, Delta Lake, or Apache Hudi
• developing and tuning advanced SQL queries, including Teradata SQL
• contributing to scalable, reliable, and cost‑efficient Data Lake and Lakehouse architectures
• designing event‑driven and serverless data solutions, including real‑time streaming pipelines
• applying strong data modeling principles such as partitioning strategies, schema evolution handling, and metadata management
• building and maintaining CI/CD pipelines using GitLab or Jenkins
• automating infrastructure provisioning with Terraform
• ensuring code quality through unit testing, code reviews, and adherence to engineering best practices

AWS Data Engineer

• Designing, developing, and implementing cutting-edge software solutions
• Your code will deliver value to our customers faster than ever before
• Responsible for implementing identified components
• Ensure that implemented components are appropriately documented, unit-tested, and ready for integration
• Architect the solution, test the code, and deploy
• Build a CI/CD pipeline
• Provide work estimates for assigned development work

Software Engineer – Full Stack Developer

Support Engineer

• Ensure the smooth operation of our customers’ IT infrastructure.
• Maintain and optimize systems for peak performance.
• Troubleshoot critical customer situations and provide timely solutions.
• Size and optimize systems to ensure world-class business performance.
• Collaborate on cutting-edge technologies and innovative solutions.

EDI Support Analyst

• Managing and administering the backbone of our technological infrastructure
• Configuring, installing and maintaining database management systems
• Managing user access and implementing security standards
• Developing backup and recovery plans
• Supporting end users and application developers

• Provide high-level technical support for complex issues related to infrastructure, deployment, and system integrations.
• Lead the investigation and resolution of critical incidents.
• Design, implement, and optimize continuous integration and continuous deployment (CI/CD) pipelines to ensure seamless software delivery and deployment processes.
• Manage and automate the deployment, scaling, and monitoring of infrastructure across multiple environments.
• Monitor system performance, identify bottlenecks, and implement optimizations to improve efficiency, reliability, and scalability of applications and infrastructure.
• Ensure adherence to security best practices and compliance requirements.
• Implement and manage security controls and policies to safeguard the organization’s infrastructure and data.
• Work closely with development teams to understand application requirements and provide guidance on DevOps best practices.
• Maintain comprehensive documentation of systems, processes, and workflows.
• Generate reports and metrics to track performance and highlight areas for improvement.
• Contribute to the strategic planning of DevOps initiatives.

Infrastructure Specialist, AWS

System Administrator

• Solve complex problems and identify potential future issues
• Manage systems data for clients and provide day-to-day solutions and security compliance
• Oversee a queue of assignments and work directly with technicians
• Prioritize tickets to deliver the best solutions
• Collaborate with cross-functional teams to design and implement Linux-based solutions

AI Developer

Mainframe Infrastructure Engineer

Director, Offering Management – AI/Network Services

Forward Deployed AI Engineer

Resiliency Solution Architect

Data Architect

Mainframe DB2 Database Administrator – SME

Senior Software Engineer – Full Stack Development

zSystems Network System Programmer

AWS Data Engineer

Software Engineer – Full Stack Developer

EDI Support Analyst

Mainframe DB2 Database Administrator – SME

Infrastructure Specialist, AWS

SME – zLinux Systems Administrator