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) with an AI & Agentic Engineering focus (Band 8), you own delivery of AI applications for complex customer engagements, including the agentic systems and generative AI features that go into production in close collaboration with platform engineering. You translate business challenges into technical solutions, build and iterate AI applications, and work hand-in-hand with the platform engineers on the team throughout design, build, and deployment. You’re accountable for what you build, including how well it holds up once people are actually using it.
You operate with significant autonomy, bring deep expertise in agentic AI architectures and applied software engineering, and confidently bridge engineering rigour with business value. You use modern AI development tools and sound engineering practice across the full delivery lifecycle to accelerate learning, improve quality, and deliver measurable impact.
What You Will Do
Depending on the engagement, you’ll draw on some of the below more than others — not every bullet applies to every project.
Translate business challenges into agentic AI applications and generative AI use cases
Build and iterate AI applications: agentic workflows and the frameworks that run them, RAG pipelines, and LLM API integrations
Process unstructured data into condensed, structured knowledge, including ontology extraction
Write production-grade Python services (FastAPI) with solid engineering practices: design, testing, code review, CI/CD
Work with relational and graph databases (e.g. Postgres, Neo4j) to model and serve data behind AI applications
Work closely with platform engineering throughout deployment — hosting and MLOps/LLMOps — without owning that infrastructure yourself
Define AI governance and responsible-use guardrails: data privacy boundaries and policy enforcement (OPA/Rego)
Instrument AI applications for observability (OpenTelemetry, Prometheus)
Guide clients through legacy modernisation into AI-enabled workflows, troubleshooting performance and reliability issues
Capture deployment learnings and share best practices to inform core AI platform frameworks
Contribute code, reusable agentic patterns, and feedback to core platform teams
Who You Are
You don’t need to tick every box below to apply — this reflects the breadth of the role, not a strict checklist.
Required Skills and Experience
5+ years of hands-on software engineering experience, with exposure to AI/ML integration and API design
Strong Python engineering (FastAPI), with solid SDLC practices: design, testing, code review, CI/CD, Git & GitHub
Hands-on experience with agentic AI frameworks (examples include LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI’s Agents SDK, and Google’s Agent Development Kit) and MCP (Model Context Protocol)
Practical experience building RAG/LLM-based pipelines and working with vector databases
Experience with relational and graph databases (e.g. Postgres, Neo4j) and Docker for building and running AI applications
Hands-on familiarity with modern AI coding copilots (e.g. Claude, Codex, Cursor)
Preferred Skills and Experience
Familiarity with observability instrumentation for AI systems (OpenTelemetry, Prometheus)
Experience with AI/ML frameworks (TensorFlow, PyTorch) and the Hugging Face / open-source AI ecosystem
Experience with image understanding and OCR
Working knowledge of policy-as-code (OPA/Rego) for AI governance and guardrails
Understanding of LLM governance: data privacy, guardrails, and responsible-use controls
Experience guiding clients through legacy application modernisation into AI-enabled workflows
T-shaped profile: solid technical expertise in AI engineering, broad understanding across enterprise IT and technical consulting
Ability to serve as a trusted advisor, translating business requirements into technical roadmaps for diverse stakeholders
Willingness to travel and work on customer premises as required
Degree in Computer Science, Informatics, Data Science, Engineering, Physics, Mathematics, or a 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
- 5+ years of hands-on software engineering experience with exposure to AI/ML integration and API design
- Strong Python engineering experience, including FastAPI and SDLC practices such as design, testing, code review, CI/CD, Git, and GitHub
- Hands-on experience with agentic AI frameworks and Model Context Protocol
- Practical experience building RAG and LLM-based pipelines and working with vector databases
- Experience with relational and graph databases, including examples such as PostgreSQL and Neo4j
- Experience with Docker for building and running AI applications
- Hands-on familiarity with modern AI coding copilots such as Claude, Codex, or Cursor
- Familiarity with AI observability instrumentation using OpenTelemetry or Prometheus
- Experience with TensorFlow, PyTorch, Hugging Face, or the open-source AI ecosystem
- Experience with image understanding and OCR
- Working knowledge of OPA/Rego policy-as-code for AI governance and guardrails
- Understanding of LLM governance, data privacy, guardrails, and responsible-use controls
- Experience guiding clients through legacy application modernization into AI-enabled workflows
- Technical expertise in AI engineering and broad understanding of enterprise IT and technical consulting
- Ability to translate business requirements into technical roadmaps for diverse stakeholders
- Willingness to travel and work on customer premises as required
- Degree in Computer Science, Informatics, Data Science, Engineering, Physics, Mathematics, or a 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.
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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.
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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.
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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
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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