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About the Role

As a Forward Deployed Engineer, you will work closely with strategically important customers to solve complex technical challenges and deliver meaningful business outcomes. By combining engineering, consulting, and product expertise, you will shape and deliver practical solutions focused on AI adoption and system modernization, leading engagements end to end from requirements definition and implementation through production deployment, adoption, and continuous improvement. You will also leverage Generative AI, Agentic AI, and multi-agent technologies to create business value in complex enterprise environments.

Responsibilities

Partner with customers to understand business challenges, current processes, technical constraints, and desired outcomes, translating them into actionable AI and modernization solutions.
Facilitate workshops and working sessions with business stakeholders, consulting teams, product teams, and engineering teams to align on solution direction and delivery approach.
Design, build, and continuously improve AI-powered applications using modern software engineering practices and cloud-native technologies.
Develop agentic workflows, Generative AI solutions, Retrieval-Augmented Generation (RAG) architectures, enterprise automation capabilities, and production-ready prototypes.
Lead end-to-end solution delivery, including requirements definition, architecture design, implementation, deployment, adoption, troubleshooting, and optimization.
Integrate AI solutions with enterprise platforms, APIs, cloud services, data stores, knowledge repositories, vector databases, and business workflows while ensuring performance, scalability, reliability, security, and governance.
Contribute reusable assets, solution patterns, code libraries, delivery playbooks, and best practices while continuously exploring emerging AI and cloud technologies to enhance customer outcomes and Kyndryl capabilities.

Requirements

Hands-on software development experience in Python or modern programming languages such as C#, Node.js, or TypeScript.
Strong software engineering fundamentals, including SDLC, Git/GitHub, APIs, backend services, automated testing, CI/CD, and secure engineering practices.
Experience designing, building, or integrating AI-powered solutions using agentic AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, Microsoft Agent Framework, AutoGen, CrewAI, or equivalent.
Solid understanding of AI/ML(Machine Learning) technologies and modern AI architectures, including TensorFlow, PyTorch, Hugging Face, Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
Experience with cloud-native and distributed systems, including Azure, AWS, or GCP, as well as Docker and Kubernetes.
Ability to optimize AI-enabled solutions for performance, scalability, reliability, observability, security, and data protection.
Strong consulting, stakeholder management, and communication skills, with business-level proficiency in both Japanese and English and the ability to translate business requirements into technical outcomes.
Degree in Computer Science, Informatics, Data Science, Engineering or a related field, or equivalent practical experience.
Real project experience implementing, operating and improving AI, Generative AI, Agentic AI or multi-agent solutions in production environments.
Experience building full-stack prototypes or production systems using frontend, backend, API(Application Programming Interface), data and cloud services.
Experience with agent telemetry, observability, evaluation frameworks, guardrails, policy-as-code, knowledge graphs or semantic knowledge layers.
Experience integrating AI solutions into enterprise systems such as APIs, workflows, data platforms, knowledge repositories and cloud services.
Experience working with customers in regulated or mission-critical environments where reliability, security and compliance are essential.
Experience contributing reusable assets, reference implementations, solution patterns, code libraries, delivery playbooks or platform improvements.

Skills

Python
C#
Node.js
TypeScript
SDLC
Git/GitHub
APIs
Backend services
Automated testing
CI/CD
Secure engineering practices
LangChain
LangGraph
Semantic Kernel
Microsoft Agent Framework
AutoGen
CrewAI
AI/ML
TensorFlow
PyTorch
Hugging Face
Retrieval-Augmented Generation (RAG)
Prompt engineering
Vector databases
Azure
AWS
GCP
Docker
Kubernetes
Consulting
Stakeholder management
Communication
Japanese
English
Full-stack development
Agent telemetry
Observability
Evaluation frameworks
Guardrails
Policy-as-code
Knowledge graphs
Semantic knowledge layers
Enterprise systems integration

Location

Remote

Work Type

Hybrid

Experience Level

Mid-level
Senior

Education Level

Bachelor's Degree in Computer Science, Informatics, Data Science, Engineering or related field, or equivalent practical experience.

Benefits

Flexible, supportive environment
Well-being is prioritized
Be Well programs (financial, mental, physical, social health)
Career path tools
Personalized development goals
Continuous feedback
Cutting-edge learning opportunities
Certifications with Microsoft, Google, and Amazon
Coaching
Hands-on experiences

About the Company

Kyndryl runs and reimagines the mission-critical technology systems that drive advantage for the world’s leading businesses.
We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge.
Our people—Kyndryls—do purposeful work that powers human progress.
We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences.
We believe in growth, and we’re excited to see what you can bring.
Employee feedback has told us that our number one driver of employee engagement is belonging.
That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers.
This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success.
That’s The Kyndryl Way.
Your career with us isn’t just a job—it’s an adventure with purpose.
We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow.
From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day.
You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We’re here to champion your journey.
With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve.
You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences.
And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here—and we’re committed to helping you do just that.

Equal Opportunity

We welcome people of all cultures, backgrounds, and experiences.
Even if you don’t meet every requirement, we encourage you to apply.
Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success.
We focus on ensuring all Kyndryls feel included.