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About the Role

As a Forward Deployed Engineer (FDE) with an AI & Agentic Engineering focus, you will own the delivery of AI applications for complex customer engagements, including agentic systems and generative AI features. You will translate business challenges into technical solutions, build and iterate AI applications, and collaborate with platform engineers throughout the design, build, and deployment phases. You will operate with significant autonomy, bringing deep expertise in agentic AI architectures and applied software engineering, bridging engineering rigor with business value.

Responsibilities

Translate business challenges into agentic AI applications and generative AI use cases
Build and iterate AI applications: agentic workflows, frameworks, 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
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 modernization 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

Requirements

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 (e.g., LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI’s Agents SDK, 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)
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 modernization 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

Skills

AI & Agentic Engineering
Generative AI
Agentic systems
Python
FastAPI
SDLC practices
Design
Testing
Code review
CI/CD
Git
GitHub
Agentic AI frameworks
LangGraph
CrewAI
AutoGen
Semantic Kernel
OpenAI’s Agents SDK
Google’s Agent Development Kit
MCP (Model Context Protocol)
RAG pipelines
LLM API integrations
Vector databases
Relational databases
Graph databases
Postgres
Neo4j
Docker
AI coding copilots
Claude
Codex
Cursor
Observability instrumentation
OpenTelemetry
Prometheus
AI/ML frameworks
TensorFlow
PyTorch
Hugging Face
Open-source AI ecosystem
Image understanding
OCR
Policy-as-code
OPA/Rego
LLM governance
Data privacy
Guardrails
Responsible-use controls
Legacy application modernization
Enterprise IT
Technical consulting

Work Type

Hybrid

Experience Level

5+ years of hands-on software engineering experience

Education Level

Degree in Computer Science, Informatics, Data Science, Engineering, Physics, Mathematics, or a related discipline — or equivalent professional experience

Benefits

Flexible, supportive environment
Well-being is prioritized
Potential can thrive
Be Well programs (financial, mental, physical, social health)
Impactful work
Meaningful projects
Powerful tools to chart career path
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 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.
We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow.
Our culture values empathy, restless learning, and a devotion to shared success.

Equal Opportunity

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.
Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success.