2 days ago
Fukuoka, JapanSenior
Responsibilities
- Engage client executives and frontline users to define business challenges, AI adoption scope, requirements, outcome metrics, and priorities.
- Evaluate technical options, business value, risks, and stakeholder concerns to lead technical decisions and build consensus.
- Design AI solution architectures and deployment roadmaps using generative AI, agentic AI, RAG, APIs, data platforms, and cloud technologies.
- Design, implement, and review integrations with enterprise systems while addressing performance, reliability, observability, security, and governance.
- Lead delivery from requirements definition and prototyping through implementation, testing, production deployment, and operational improvement.
- Lead multidisciplinary teams through role allocation, technical and code reviews, issue resolution, and mentoring.
- Create reusable assets, solution patterns, frameworks, code libraries, and delivery playbooks to expand the AI business and generate new opportunities.
Requirements
- Professional software design and development experience with one or more of Python, C#, Node.js, or TypeScript.
- Experience designing and implementing AI applications or AI solutions, including generative AI or agentic AI in production.
- Experience as a Technical Lead setting technical direction, conducting design and code reviews, resolving issues, and developing team members.
- Experience working directly with client executives and frontline users to translate business challenges into technical solutions and execution plans.
- Experience leading stakeholder decision-making, owning major client engagements or technical domains, and independently leading solution design, deployment, and continuous improvement.
- Experience integrating solutions across multiple technical domains and development teams under complex constraints while owning quality and client outcomes.
- Preferred experience with cloud-native architectures using Azure, AWS, or Google Cloud; data platforms, pipelines, and SQL/NoSQL databases; AI agents and multi-agent systems; RAG design and evaluation; AI observability, guardrails, Policy as Code, security, and data protection.
- Preferred experience with client proposals, enterprise-system integrations, global teams, reusable frameworks and best practices, or business domains such as manufacturing, financial services, distribution, or the public sector.
Benefits
- Hybrid-friendly work culture with programs supporting financial, mental, physical, and social well-being.
- Career development through certifications with Microsoft, Google, and Amazon, coaching, personalized development goals, continuous feedback, and hands-on learning opportunities.
- Opportunities to work on impactful customer projects, develop in-demand skills, and grow or specialize across sectors.
About Kyndryl
Kyndryl is a public IT services company that designs, runs, and modernizes mission-critical infrastructure for large enterprises and governments. Spun off from IBM in 2021, it is headquartered in New York City and trades on the NYSE (ticker: KD). The company provides managed infrastructure, cloud migration and operations across AWS, Azure, and Google Cloud, plus mainframe, network, security, data, and digital workplace services.