Lead – Forward Deployed Engineer, AI Application Engineer

Kyndryl

. Engage directly with clients to structure business and operational challenges and propose AI use cases, expected value, and implementation approaches .

Posted 11/10/2026full-timeFukuoka • JapanSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI solution design and implementation, with a strong focus on client engagement, architecture selection, and continuous improvement. Proficient in software development across multiple programming languages and cloud platforms, ensuring high-quality outcomes and effective risk management.

Highest-signal resume keywords

Python DevelopmentGenerative AI ImplementationArchitecture DesignCloud Technologies (Azure, AWS, Google Cloud)Client Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentPythonC#JavaJavaScriptNode.jsTypeScriptSQLNoSQLData Pipeline Development

Soft Skills

CollaborationCommunicationProblem-SolvingLeadershipClient Relationship Management

Tools & Technologies

APIsData PlatformsCloud TechnologiesGenerative AILLMsRAGAgentic AI

Industry Keywords

ManufacturingFinancial ServicesDistributionPublic SectorProduction OperationsSecurityGovernanceAI Solutions Evaluation

Tech Stack

Tools & technologies

AWSAzureCloudJavaJavaScriptNode.jsNoSQLPythonSQLTypeScript

About the role

Key responsibilities & impact

Engage directly with clients to structure business and operational challenges and propose AI use cases, expected value, and implementation approaches
Lead workshops to clarify requirements, scope, and evaluation metrics
Lead technology selection and architecture design
Drive solution design, implementation, testing, and deployment using generative AI, LLMs, RAG, agentic AI, APIs, cloud technologies, and data platforms
Manage tasks, quality, and technical risks
Guide the team through code reviews and technical support
Assess usage and outcomes after production deployment
Lead continuous improvement to realize agreed client value
Turn engagement insights and outcomes into reusable code, methodologies, and templates
Support new proposals and generate new business opportunities

Requirements

What you’ll need

Software development experience using one or more of Python, C#, Java, JavaScript, Node.js, or TypeScript
Experience driving responsibilities from requirements definition through design, implementation, testing, deployment, and improvement
Experience translating challenges into technical requirements and execution plans through dialogue with clients or internal stakeholders
Experience making architecture, technology selection, quality, and technical risk decisions or recommendations
Experience collaborating with multiple team members and coordinating work through reviews, technical support, and progress management
Preferred: experience developing and deploying applications using generative AI, LLMs, RAG, or agentic AI
Preferred: experience developing applications on Azure, AWS, or Google Cloud
Preferred: experience designing and developing applications or data platforms
Preferred: experience with client workshops, technical proposals, proofs of concept, and project leadership
Preferred: experience related to production operations, security, governance, and evaluation of AI solutions
Preferred: experience designing and implementing SQL/NoSQL solutions, data pipelines, or data platforms
Preferred: business domain knowledge in manufacturing, financial services, distribution, or the public sector

Benefits

Comp & perks

Flexible, supportive environment
Well-being support through Be Well programs for financial, mental, physical, and social health
Hands-on experience and learning opportunities
Opportunities to certify in four major platforms
Certifications with Microsoft, Google, and Amazon
Coaching and hands-on experiences
Personalized development goals and continuous feedback
Hybrid-friendly culture
Cutting-edge learning opportunities
Career path and development tools