Kyndryl
ModEngineer(FDE)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Mod Engineer (FDE) at Kyndryl. Skills: AI innovation, Agentic AI, Enterprise AI, Forward Deployed Engineering. Build autonomous agents. Implement agent architectures”
What You'll Achieve.
Drive advantage for businesses; Enable smarter decisions; Enable faster innovation; Deliver lasting competitive edge; Drive transformative results; Drive measurable business value; Drive adoption; Drive measurable business outcomes
Industry & Context.
Solve complex challenges; Solve technical blockers
Often on-site
What They're Looking For.
Must Have
Bachelor’s degree in computer science, Hands-on experience with Python development, Hands-on experience building AI based solutions, Knowledge of LLMs, Expertise with Docker, Expertise with Kubernetes, Expertise with at least one cloud platform, Experience in microservices-based architectures, Solid grasp of software delivery lifecycle, Solid grasp of version control (Git & GitHub), Solid grasp of data engineering tools, Experience with cloud AI platforms, Experience with distributed computing architectures, Ability to translate business requirements, Hands-on experience with SQL, Hands-on experience with NoSQL, Hands-on experience with vector databases, Proficiency in CI/CD
Nice to Have
Frontend UI technologies experience, AI Agent architectures knowledge, Agent Telemetry/Observability frameworks knowledge, Azure, AWS, GCP or on premises expertise, Pandas and Spark experience, PostgreSQL, MongoDB experience, GitHub Actions proficiency
What You'll Do.
Build autonomous agents
Implement agent architectures
Integrate agents into applications
Connect agents to external services
Implement safety mechanisms
Implement reliability mechanisms
Implement guardrail mechanisms
Work cross-functionally
Maintain documentation
Build Enterprise Agents and Tools Registry
Implement Agent Communication Gateway
Ensure agent-level security
Deploy agentic AI platforms
Customize agentic AI platforms
Solve technical blockers
Translate business logic
Implement observability tools
Maintain performance metrics
Maintain feedback loops
Build custom AI solutions
Iterate custom AI solutions
Own delivery end to end
Engineer production-ready solutions
Deploy production-ready solutions
Drive measurable business outcomes
Contribute to AI platforms
Partner with customers
Understand business challenges
Translate challenges into solutions
Prioritize outcome over speed
How You'll Work.
Team & Collaboration
Cross-functional teams; Customer teams; Researchers; Engineers; Product teams; Global AI ecosystem
Communication Scope
Communicate technical value
Full Job Description
**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** At Kyndryl, we deploy AI innovation where it creates the greatest real-world impact. As a Forward Deployed Engineer, you will collaborate directly with customers to solve complex challenges, shaping solutions that redefine industries. You will be empowered to work at speed, supported by a global AI ecosystem, and play a pivotal role in delivering outcomes that matter. This position operates within our triad delivery model, where engineering, consulting, and product expertise come together to drive transformative results for customers. This is not traditional consulting or pure software engineering; it is a hybrid role designed for the complexities of real-world AI deployment, with accountability for outcomes not just code. You will blend deep engineering expertise with consultative engagement to deliver tailored solutions that drive measurable business value. Operating in dynamic environments and working closely with customer teams - often on-site - you will scope, prototype, and deploy solutions at pace. Technologies include Generative AI, Agentic AI architectures, and multi-agent ecosystems, with insights continually fed back into Kyndryl’s platforms and frameworks to accelerate future deployments. If you are motivated by solving complex problems, excel in direct customer engagement, and aspire to shape the future of enterprise AI, this role is designed for you. **Key Responsibilities** * Build autonomous agents using LLMs, pl
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