About this opportunity
Original employer descriptionWho We Are
At Kyndryl, we run and reimagine 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. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
The Role
At Kyndryl, we apply AI where it can deliver the greatest real-world impact. As a Modernization Engineer, you
will work directly with customers to solve complex challenges and build solutions that can reshape industries.
Supported by a global AI ecosystem, you will move quickly and play a central role in delivering meaningful
outcomes through our integrated engineering, consulting, and product model.
This hybrid role goes beyond traditional consulting or software engineering. It is built for real-world AI
deployment and emphasizes accountability for outcomes, not only code.
You will combine engineering depth with consultative skills to deliver tailored solutions that create measurable
business value. Working closely with customer teams—often on-site—you will rapidly scope, prototype, and
deploy generative AI, agentic AI, and multi-agent solutions. Lessons from each engagement will help
strengthen Kyndryl’s platforms and accelerate future deployments.
This role is ideal for someone who enjoys solving complex problems, working directly with customers, and
shaping the future of enterprise AI.
Build autonomous agents using Kyndryl’s Agentic Platform and LLMs, planning algorithms, and
decision frameworks.
• Leverage and customerize pre-built autonomous agents available within Kyndryl’s Agentic Platform to
maximize adoptiopn scale and consistency.
• Design agent architectures for autonomy, interaction, and task completion.
• Integrate agents with applications, APIs, workflows, databases, cloud platforms, and external services.
• Refine agent behavior through feedback loops, reinforcement learning, semantic knowledge layers, and
user interactions.
• Monitor performance and implement safeguards for security, reliability, and responsible operation.
• Collaborate with researchers, engineers, product teams, and other cross-functional partners.
• Document agent logic, design decisions, dependencies, and deployment practices.
• Build and maintain the Enterprise Agents and Tools Registry for metadata and lifecycle management.
• Implement the Agent Communication Gateway with security, rate limiting, observability, and cost
controls.
• Apply agent and workflow orchestration patterns using tools such as Temporal and Airflow.
• Protect agents through authentication, authorization, and data security controls.
• Optimize cost, scalability, performance, and reliability across cloud and on-premises environments.
• Use knowledge graphs to strengthen agent reasoning and data integration.
• Deploy and tailor agentic AI platforms, LLM agents, and orchestration frameworks.
• Resolve technical blockers in data ingestion, model deployment, and agent behavior.
• Design and refine prompts for clarity, compliance, and contextual accuracy.
• Translate business logic into agentic workflows and task trees aligned with real-world expectations.
• Implement observability, performance metrics, and feedback loops to improve reliability, latency, trust,
and outcomes.
• Build and iterate customer-specific AI solutions using agentic AI frameworks.
• Own delivery from scoping through production, embedding with customer teams to deploy solutions that
drive adoption and measurable business results.
• Customer Engagement & Solution Integrity: Translate customer challenges into high-quality, fit-for-
purpose solutions, prioritizing the right outcome over the fastest answer.
• Optimization: Diagnose and improve system performance, scalability, and reliability.
• Field Intelligence: Capture deployment lessons, document best practices, and share insights that
improve Kyndryl’s platforms and frameworks.
• Continuous Learning: Stay current with emerging technologies and changing customer needs through
ongoing development.
Join a team that values speed, autonomy, and measurable impact. At Kyndryl, you will gain end-to-end
visibility across the delivery lifecycle, with opportunities to lead engagements and shape strategy. Our triad
model connects you with engineering, product, and consulting experts to drive continuous learning and
innovation. With clear career paths from Junior to Principal, you can help shape our AI platforms, contribute
directly to their development, and see your work deliver real-world results. If you want your ideas to matter
and your execution to make a difference, this is the place to do it.
Every role at Kyndryl offers opportunities to advance your career through hands-on experience, continuous
learning, and certifications across all four major platforms. Whether you want to expand your expertise or
specialize in a specific sector, you can build your future here.
You bring the skills and experience required for the role, along with a growth mindset and a commitment to
your personal and professional development. You put customer success first and work openly, collaboratively,
and inclusively with others.
Kyndryl is committed to a diverse workplace and is proud to be an equal opportunity employer. We consider
all qualified applicants without regard to race, color, religion, gender, gender identity or expression, sexual
orientation, national origin, genetics, disability, age, or veteran status. We also comply with all fair
employment practices related to citizenship and immigration status.
Ready to turn innovation into results? Apply now.
Who You Are
Required Technical and Professional Experience
• Bachelor’s degree in computer science, engineering, or an equivalent field.
• Full-stack development experience with Python and front-end technologies such as TypeScript and
React.js, including building demos and systems from the ground up.
• Minimum 3 years of expertise with hands-on experience building AI solutions with frameworks such
as LangChain, Microsoft Semantic Kernel, Google ADK, or Microsoft Agent Framework.
• Knowledge of LLMs, agent architectures, and telemetry or observability tools such as LangSmith,
Langfuse, and LiteLLM.
• Expertise with Docker, Kubernetes, and at least one cloud platform—Azure, AWS, or GCP—or on-
premises environments.
• Experience with microservices architectures.
• Strong understanding of the software delivery lifecycle, Git and GitHub, and data engineering tools such
as Pandas and Spark.
• Experience with cloud AI platforms and distributed computing architectures.
• Ability to translate business needs into technical solutions and explain their value to varied
stakeholders, including executives.
• Hands-on experience with SQL databases such as PostgreSQL, NoSQL databases such as MongoDB,
and vector databases for storage, semantic search, and retrieval.
• Proficiency in CI/CD tools such as GitHub Actions, automated testing, and observability.
• Proficiency in API development, back-end services, and AWS, Azure, or GCP.
• Practical experience deploying RAG architectures and integrating structured and unstructured
knowledge sources.
• Open-Source Ecosystems: Familiarity with community-driven AI tools, libraries, and repositories,
including Hugging Face.
• T-Shaped Profile: Deep expertise in one or two areas, supported by broad knowledge of AI/ML, cloud,
and consulting.
• Agentic AI Systems: Experience designing, building, or integrating multi-agent systems and
orchestration frameworks such as LangGraph, Semantic Kernel, Agent Framework, AutoGen, or
CrewAI, including agent protocols and coordination mechanisms.
• Performance & Security: Knowledge of system optimization and security practices for scalable AI
systems.
Being You
The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, 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.
What You Can Expect
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. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best.
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. Ready to make an impact? Join us and help shape what’s next.
Get Referred!
If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.
