Kyndryl

Engineer

• Collaborate directly with customers to solve complex challenges
• Build autonomous agents using LLMs, planning algorithms, and decision-making frameworks
• Implement agent architectures that support autonomy, interactivity, and task completion
• Integrate agents into applications, APIs, and workflows (e.g., copilots, chatbots, automation tools)
• Connect agents to external services via APIs, databases, and cloud platforms
• Tune agent behavior using feedback loops, reinforcement learning, semantic knowledge layer and user interaction
• Monitor performance and implement safety, reliability, and guardrail mechanisms
• Work cross-functionally with researchers, engineers, and product teams
• Maintain clear documentation of agent logic, design decisions, and dependencies
• Build and maintain the Enterprise Agents and Tools Registry for metadata and lifecycle management
• Implement the Agent Communication Gateway with robust security, rate limits, observability, and cost controls
• Ensure agent-level security, including authentication, authorization, and data protection
• Optimize cost, scalability, performance, and reliability of agent operations across cloud and on-prem environments
• Deploy and customize agentic AI platforms (e.g., LLM agents, orchestration frameworks)
• Integrate AI systems with enterprise APIs, data platforms, and workflows
• Solve technical blockers across data ingestion, model deployment, and agent behavior
• Design and refine prompts to ensure clarity, compliance, and contextual accuracy
• Maintain performance metrics and feedback loops for continuous improvement
• Build and iterate custom AI solutions tailored to customer needs, leveraging agentic AI frameworks
• Own delivery end to end, from scoping to production
• Actively contribute to the evolution of Kyndryl’s AI platforms through feedback, code contributions, and collaboration with product teams

Mod Engineer – FDE

DevOps Engineer

• Implement the architecture of the software lifecycle flow, select and integrate key tools and technologies such as Kubernetes, Infrastructure as Code (IaC) solutions, CI/CD tools
• Work closely with teams to integrate quality gates as part of the whole flow using Selenium, JMeter, Cypress among others to ensure seamless integration and delivery of high-quality software
• Build and maintain the pipelines stack, ensuring reliability, scalability, and performance
• Drive the automation of complex operational tasks that traditionally burdened developers or operations teams
• Collaborate closely with development, operations, and security teams to understand their pain points and gather feedback that guides the continuous improvement of the current flow
• Help measuring and publishing principal KPIs about the architecture’s flows, main metrics affecting the developer’s productivity and operational efficiency
• Assist with building and managing cloud-native environments using containers (Docker/Kubernetes) and serverless solutions
• Contribute to the continuous improvement of CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)

Junior DevOps Engineer

Solutions Engineer

• Act as a trusted advisor for cloud architecture
• Collaborate with client executives and teams
• Shape migration and modernization roadmaps
• Lead implementation teams to deliver on time

Public Cloud Solutions Architect

Marketing

• Grow our reputation by refining our brand promise and positioning Kyndryl as a trusted innovator
• Deepen relationships within existing accounts (Account-Based Marketing - ABM)
• Support sales teams in acquiring new clients (Volume Marketing)
• Build relationships with new buyers inside existing accounts (Pursuit Marketing)
• Support Kyndryl’s growth strategy and drive measurable signing results
• Foster positive engagement, strengthen our culture, and contribute to making Kyndryl an Employer of Choice

Marketing Associate

Director

• Create, maintain and develop deep customer relationships
• Responsible to drive profitable growth leading with a consultative approach and Kyndryl Consult
• Deliver on budget, owning revenue, profit/loss, and growth objectives
• Ensure account profitability, leading operating margin improvement
• Generate opportunities, drive through to closure and expand existing work into larger scope and new capabilities
• Own account P&L, drive customer satisfaction, and ensure account compliance by acting with integrity
• Invest in the development of the people on the account and across Kyndryl

Director, Customer Partner – Retail

• Leverage command of Microsoft’s partner ecosystem to support and shape complex managed services engagements
• Drive deals to closure and contribute to negotiations with top-level executives
• Define winning propositions and support end-to-end response for complex deals
• Create Kyndryl’s unique propositions tailored to meet market demands and customer requirements
• Engage in demand generation activities to close pipeline gaps

Associate Director, Alliances Deal Maker

Full-stack Engineer

• build scalable, high-performance backend solutions that power modern data-driven platforms in a cloud-first environment
• design and develop robust backend services
• play a key role in shaping API-driven data processing and orchestration frameworks
• leverage asynchronous Python (asyncio) to deliver efficient, scalable solutions
• seamlessly integrate with Azure data services such as ADLS, ADF, and Databricks
• maintain high code quality through comprehensive testing with Pytest
• contribute to continuous improvement through code reviews and performance optimization
• deliver end-to-end solutions that drive real business value
• contribute to CI/CD pipelines and modern, containerized deployments

Senior Software Engineer

Architect

• Assess legacy codebases, monolithic architectures, and on-premises infrastructure to define targeted modernization strategies
• Design cloud-native target architectures leveraging microservices, event-driven patterns, API-first design, and containerization (Docker/Kubernetes)
• Lead technical discovery workshops to inventory systems, dependencies, data flows, and integration points
• Produce modernization roadmaps with phased milestones, risk registers, and TCO/ROI analysis
• Define migration patterns for databases, middleware, and mainframe workloads to modern cloud platforms
• Design and build custom AI agents and multi-agent workflows tailored to client-specific business processes and modernization objectives
• Implement agentic orchestration using frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, or using the Kyndryl Agentic Platform
• Create intelligent automation pipelines that replace or augment legacy batch jobs, manual handoffs, and rule-based workflows
• Build/Enhance AI-assisted code migration agents capable of analyzing, transforming, and validating legacy code (COBOL, VB6, PL/SQL, .Net, etc.)
• Lead client-facing discovery sessions, architecture reviews, and modernization readiness assessments
• Translate legacy estate complexity into clear business risk narratives and modernization business cases
• Serve as a trusted technical advisor to senior stakeholders, guiding both strategy and sequencing
• Facilitate workshops to align business owners, engineers, and operations teams around target state architectures
• Produce actionable deliverables: strategy decks, architecture blueprints, migration playbooks, and agent workflow specifications
• Design and deliver live demonstrations of agentic modernization capabilities, including code transformation, intelligent workflow automation, and AI-assisted operations
• Build reusable demo environments and MVPs that showcase modernization outcomes at different stages of a client journey
• Present modernization strategies and AI workflow designs to both technical teams and executive audiences
• Scope, design, and deliver production-ready AI agents based on client-supplied requirements and use cases
• Lead joint development sessions ("AI pairing") with client engineering teams to accelerate capability transfer
• Define agent contracts: input/output schemas, tool definitions, memory strategies, fallback behaviors, and escalation paths
• Establish quality gates: unit tests, integration tests, and evaluation harnesses for agent reliability and output quality

Modernization Architect

• Lead client discovery sessions and AI readiness assessments to surface high-impact use cases
• Translate ambiguous business requirements into structured technical architectures and implementation roadmaps
• Act as a trusted advisor to senior client stakeholders, guiding strategic Agentic AI adoption decisions
• Facilitate workshops, design sessions, and architecture reviews with cross-functional teams
• Build and maintain proof-of-concepts and reference implementations that demonstrate business value
• Create and deliver live, interactive demos of agentic AI capabilities tailored to specific client contexts

Solution Architect

Account Manager

• Create, maintain, and develop deep customer connections
• Drive proactive account growth and minimize erosion in renewals
• Develop and execute cutting-edge account strategies
• Lead one or more Portfolio or Strategic accounts
• Generate new opportunities and expand existing work into larger scopes

Director, Account Management

• Solution Architects are the key link between Kyndryl and our clients.
• You’re in a technical leadership role, uniting and guiding stakeholders from clients, governance, and project executives to delivery and sometimes even the vendors who work with the client.
• You’ll be there from the start of a project — understanding what’s needed and figuring out the best technical solution.
• And you’ll be there at the finish, delivering the right product on time and within budget.
• As an Infrastructure Architect, you’ll draw upon the full breadth of your talent and experience.
• This is a technical leadership role, so we want you to bring your vision, knowledge, and leadership to each project.
• To the client, you’re the subject matter expert – consulting early, gathering inputs, understanding what they need from our solution.
• You define what Kyndryl can do to meet this solution.
• You design the best solution for the job.
• And finally, you’re the tech leader for implementation.
• At Kyndryl we support all major cloud platforms, so you’ll get the chance to use everything you know – and then some.
• You’ll also become expert at knowing when and how to call on other SMEs outside your wheelhouse.
• Thinking your way around pre-existing limitations will grow your creativity and flexibility.
• You’ll learn a lot here, and if you want to work toward certifications there are plenty of opportunities.

Solutions Architect – Modernization

• Assess legacy codebases, monolithic architectures, and on-premises infrastructure to define targeted modernization strategies
• Design cloud-native target architectures leveraging microservices, event-driven patterns, API-first design, and containerization
• Lead technical discovery workshops to inventory systems, dependencies, data flows, and integration points
• Produce modernization roadmaps with phased milestones, risk registers, and TCO/ROI analysis
• Design and build custom AI agents and multi-agent workflows tailored to client-specific business processes and modernization objectives
• Create intelligent automation pipelines that replace or augment legacy batch jobs, manual handoffs, and rule-based workflows
• Facilitate workshops to align business owners, engineers, and operations teams around target state architectures

Senior Modernization Architect

• Lead client discovery sessions and AI readiness assessments to surface high-impact use cases
• Translate ambiguous business requirements into structured technical architectures and implementation roadmaps
• Act as a trusted advisor to senior client stakeholders, guiding strategic Agentic AI adoption decisions
• Facilitate workshops, design sessions, and architecture reviews with cross-functional teams
• Develop and maintain reusable solution frameworks, playbooks, and reference architectures
• Build and maintain proof-of-concepts and reference implementations that demonstrate business value
• Define integration patterns for connecting AI agents to enterprise systems (CRMs, ERPs, APIs, data lakes)
• Create and deliver live, interactive demos of agentic AI capabilities tailored to specific client contexts and verticals using the Kyndryl Agentic Framework (KAF)
• Design and present compelling solution narratives — from executive briefings to technical deep-dives
• Produce detailed project estimates covering effort, cost, risk, timeline, and team composition leveraging Kyndryl’s solution calculator and other Kyndryl tools
• Develop Statements of Work (SOWs), Requests for Proposal (RFP) responses, and technical proposal sections
• Define MVP scopes and phased delivery plans aligned to client budget and business priorities
• Collaborate with sales, consult, and legal teams to structure technically sound, deliverable engagements
• Own technical due diligence for new opportunities and validate feasibility of proposed solutions

Network Engineer

• Install, configure, and maintain network hardware and software components
• Monitor network performance and proactively identify and resolve issues and outages
• Troubleshoot incidents and implement corrective actions, including emergency changes
• Execute routine and scheduled network changes in line with change management processes
• Participate in change reviews and contribute to continuous service improvement
• Support and maintain network architecture design standards and configurations
• Implement and enforce network security policies and best practices
• Provide technical support for network-related issues to internal and external stakeholders
• Collaborate with cross-functional teams including project managers, architects, and service engineers
• Document configurations, architecture diagrams, processes, and incident resolutions

Network Engineer – Level 3

Artificial Intelligence

• Build and operationalize scalable data and AI solutions by translating architectural designs into production-ready systems.
• Develop and maintain data pipelines and AI-enabled services using cloud-native technologies.
• Implement and integrate machine learning and LLM-powered solutions within enterprise workflows.
• Contribute to real-time and batch data architectures.
• Support MLOps practices, including model versioning, deployment, monitoring, and lifecycle management.
• Collaborate with solution architects, data scientists, and software engineers to deliver MVPs and production solutions.
• Build secure, scalable APIs and services for AI and data applications.
• Contribute to containerized and orchestrated deployments (Docker, Kubernetes).

Mod Engineer – FDE

Junior DevOps Engineer

Public Cloud Solutions Architect

Marketing Associate

Director, Customer Partner – Retail

Associate Director, Alliances Deal Maker

Senior Software Engineer

Modernization Architect

Solution Architect

Director, Account Management

Solutions Architect – Modernization

Senior Modernization Architect

Solution Architect

Network Engineer – Level 3

Data & AI Specialist