Lead Agentic & AI Architect (FDE)

Posted 9 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Cloud • Information Technology • Consulting
The Role
Own end-to-end delivery of complex AI engagements as a forward-deployed engineer: translate business needs into technical solutions, rapidly prototype agentic AI systems, deploy production-ready solutions, optimize performance and reliability, capture field learnings, and contribute to platform evolution while partnering closely with customers.
Summary Generated by Built In

Who 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

Your role
As a Forward Deployed Engineer (FDE), you own end to end delivery for complex AI engagements. You translate business challenges into technical solutions, lead solution design and deployment, and operate as a trusted technical partner to customers. You are accountable not just for what gets built, but for whether it works-technically, operationally, and for the people who rely on it.
You operate with significant autonomy, bring deep expertise in at least one technical domain, and confidently bridge engineering rigor with business value. You use AI assisted development tools across the full delivery lifecycle to accelerate learning, improve quality, and deliver measurable impact.
What you will do
•Customer Engagement & Solution Integrity: Partner with customers to understand business challenges and translate them into high‑quality, fit‑for‑purpose technical solutions, prioritising the right outcome over the fastest one
•Rapid Prototyping: Build and iterate custom AI solutions tailored to customer needs, leveraging agentic AI frameworks
•Ownership, Deployment & Partnership: Own delivery end to end, from scoping to production. Work as part of the customer team to engineer and deploy production‑ready solutions that drive adoption and measurable business outcomes.
•Optimization: Troubleshoot and enhance system performance, scalability, and reliability
•Field Intelligence: Systematically capture deployment learnings, document best practices, and proactively share insights to inform enhancements to Kyndryl’s core platforms and frameworks
•Continuous Learning: Adapt quickly to emerging technologies and evolving customer requirements by engaging in ongoing professional development
•Platform Contribution: Actively contribute to the evolution of Kyndryl’s AI platforms through feedback, code contributions, and collaboration with product teams


Who You Are

Required skills and experience
•Programming Proficiency: Demonstrable expertise in Python, (or another modern language such as C#, Node.js or TypeScript); experience working with AI/ML frameworks like TensorFlow or PyTorch is a plus
•Software Engineering: Solid grasp of the software delivery lifecycle, version control (Git & GitHub), and data engineering tools such as Pandas and Spark
•Cloud & Distributed Systems: Experience with cloud AI platforms (AWS, Azure, Google AI) and distributed computing architectures
Preferred skills and experience
•Open-Source Ecosystems: Familiarity with community-driven AI tools and libraries, including Hugging Face and relevant repositories
•T-shaped Profile: Deep technical expertise in one or two domains, with broad understanding across AI/ML, cloud, and consulting
•Agentic AI Systems: Experience designing, building, or integrating multi-agent systems and orchestration frameworks (e.g., LangGraph, Semantic Kernel, Agent Framework, AutoGen, CrewAI), including the development of agent protocols and coordination mechanisms
•Retrieval-Augmented Generation (RAG) & Knowledge Systems: Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources into AI solutions
•Performance & Security: Knowledge of system-level optimisation and security best practices for scalable AI systems
•Business Acumen: Ability to translate business requirements into technical solutions and communicate technical value to diverse stakeholders, including executive audiences
•Flexibility: Willingness to travel and work on customer premises as required
•Education: Degree-level qualification in Computer Science, Informatics, Data Science, Engineering, or a closely related discipline - or equivalent professional experience


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.

Skills Required

  • Programming proficiency in Python or another modern language (C#, Node.js, TypeScript).
  • Experience with AI/ML frameworks (TensorFlow, PyTorch).
  • Software engineering fundamentals including software delivery lifecycle and version control (Git & GitHub).
  • Experience with data engineering tools such as Pandas and Spark.
  • Experience with cloud AI platforms and distributed computing architectures (AWS, Azure, Google AI).
  • Familiarity with open-source AI ecosystems (e.g., Hugging Face).
  • Experience designing or integrating agentic multi-agent systems and orchestration frameworks (e.g., LangGraph, Semantic Kernel, Agent Framework, AutoGen, CrewAI).
  • Practical knowledge of deploying Retrieval-Augmented Generation (RAG) architectures and knowledge systems.
  • Knowledge of system-level optimization and security best practices for scalable AI systems.
  • Ability to translate business requirements into technical solutions and communicate to diverse stakeholders.
  • Willingness to travel and work on customer premises as required.
  • Degree-level qualification in Computer Science, Informatics, Data Science, Engineering, or closely related discipline, or equivalent professional experience.

Kyndryl Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kyndryl and has not been reviewed or approved by Kyndryl.

  • Fair & Transparent Compensation Pay is considered good in some roles, with mentions of “good pay,” “great pay and benefits,” and an “acceptable salary range” paired with bonuses. Certain senior or consulting tracks are described as market-competitive.
  • Leave & Time Off Breadth Vacation, paid time off, holidays, and a dedicated volunteer day are highlighted as positives. Parental leave exists companywide alongside sick leave and disability coverage.
  • Wellbeing & Lifestyle Benefits Remote and hybrid flexibility is emphasized, including 100% remote roles and a formal flexible workplace policy. Well‑being resources such as the Be Well program and an EAP are available.

Kyndryl Insights

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The Company
HQ: New York, NY
46,070 Employees
Year Founded: 2021

What We Do

We have the world’s best talent that design, run, and manage the most advanced and reliable technology infrastructure each day. Together, we think holistically about the health of these vital technology ecosystems. We are a focused, independent company that builds on our foundation of excellence by creating systems in new ways. Bringing in the right partners, investing in our business, and working side-by-side with our customers to unlock potential. We're raising the bar. Our experience speaks for itself: We have 90,000 highly skilled employees around the world serving 75 of the Fortune 100. But our purpose is what drives us: Advancing the vital systems that power human progress. Because when a digital ecosystem is healthy, it can more readily adapt and support continuous growth and that opens up a world of possibility for everyone.

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