Forward Deployed Engineer - AI
Who We Are
About the Role
Key Responsibilities
- 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. Working as part of the customer team to engineer and deploy production‑ready solutions that drive adoption and measurable business outcomes.
- Optimisation: 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
You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.
Required Skills & Experience
- 3-6 years of relevant IT experience in which at least 1 years of working experience in Agentic AI Frameworks, Orchestration, Deployment and 2 years on GenAI solutions
- Programming Proficiency: Demonstrable expertise in Python; experience working with AI/ML frameworks like TensorFlow or PyTorch is a plus.
- 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.
- 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.
- 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.
Desired Experience
- Experience in Observability and evaluation platforms – e.g. Langsmith
Why join us? You will become part of a team that values pace, autonomy, and tangible impact. At Kyndryl, you will have full visibility of the delivery lifecycle, with opportunities to lead engagements and shape strategic direction. Our triad delivery model means you will work alongside experts in engineering, product, and consulting, fostering continuous learning and innovation. Career progression is clearly defined, from Junior to Principal levels, with pathways to influence the evolution of our AI platforms. You will contribute directly to platform development and see the results of your work in real-world applications. If you are seeking an environment where your ideas are valued and execution drives results, this is the place to make a difference. If you want to work where innovation meets execution, apply now.
Being You
What You Can Expect
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Not included in the source posting: benefits.
Skills
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