Jobs at Kyndryl

Provides cybersecurity consulting and implementation services for client environments. Conducts security and risk assessments, identifies vulnerabilities, manages information-security risks, and recommends mitigation strategies. Designs and implements security controls, policies, firewalls, intrusion prevention, access controls, and encryption. Supports audits, due diligence, secure infrastructure and application design, and ongoing security-posture improvements while advising technical and non-technical stakeholders.

Develop data-driven solutions by translating business problems into data problems, collecting and preparing data, building and evaluating statistical and mathematical models, and deploying models into applications. Manage data security, privacy, quality, availability, governance, migration, and policy. Operate and troubleshoot ELK environments, distributed clusters, Linux systems, and cloud infrastructure while communicating technical insights to diverse stakeholders.

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.

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.

Own strategic banking and financial services accounts, including P&L, customer relationships, account growth, renewals, profitability, and satisfaction. Identify and qualify opportunities, lead end-to-end sales engagements, develop account strategies, expand services, and collaborate with cross-functional teams and partners to deliver digital transformation solutions. Monitor industry trends, regulations, risks, and competitive dynamics while maintaining compliance and trusted executive relationships.

Owns strategic banking and financial services accounts, building executive relationships, driving revenue growth, renewals, profitability, and customer success. Responsibilities include developing account plans, managing sales pipelines, identifying and closing opportunities, overseeing delivery, expanding engagements, and coordinating sales, technical, delivery, and partner teams. The role also manages account P&L, governance, risk, compliance, customer satisfaction, and market insights while supporting digital transformation initiatives.

Design and scale data infrastructure for agentic AI, including RAG pipelines, vector databases, semantic layers, knowledge graphs, and automated data-quality guardrails. Build and maintain data pipelines, ETL processes, and CI/CD infrastructure while resolving source-data issues and protecting against noise, bias, and PII. The role also requires expertise with ELK, Python, relational and NoSQL databases, data modeling, and collaboration with technical and business stakeholders.

Drive profitable growth by managing client relationships at the CXO level, leading complex consulting engagements, and achieving financial targets. Foster team development and ensure delivery excellence.

As a Cloud Architect, you'll lead architecture workshops, automate AWS deployments, and design advanced cloud-based solutions for clients, ensuring projects are delivered on time and within budget.

Customer-facing engineer who scopes, prototypes, and deploys production-ready GenAI and agentic AI solutions. Responsibilities include end-to-end delivery, optimization, knowledge capture, and contributing to platform evolution while working onsite with customers.

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 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.

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.

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.

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.