Forward Deployed Engineer - AI

Kyndryl; Mumbai; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Kyndryl is seeking a Forward Deployed Engineer in Mumbai, India. This role focuses on deploying AI solutions that address complex challenges for clients. You will engage directly with customers, shape solutions, and work within a dynamic team environment.

The ideal candidate will have proficiency in Python, experience in Agentic AI Frameworks, and a strong understanding of cloud platforms. This position emphasizes customer success and outcomes, while also prioritizing innovative problem solving.

Qualifications

• 3-6 years of relevant IT experience, including 1 year in Agentic AI and 2 years in GenAI solutions.
• Proficient in Python; experience with AI/ML frameworks is a plus.
• Experience with cloud AI platforms like AWS or Azure.

Responsibilities

• Engage customers to understand challenges and deliver tailored AI solutions.
• Rapidly prototype custom AI solutions for customer needs.
• Own the end-to-end delivery of production-ready solutions.

Skills

Python

Agentic AI Frameworks

TensorFlow

PyTorch

Multi-agent systems

Education

Degree in Computer Science, Informatics, Data Science, Engineering

Tools

Git

GitHub

Pandas

Spark

Job description

About 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

1. 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.

2. Rapid Prototyping: Build and iterate custom AI solutions tailored to customer needs, leveraging agentic AI frameworks.

3. 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.

4. Optimisation: Troubleshoot and enhance system performance, scalability, and reliability.

5. Field Intelligence: Systematically capture deployment learnings, document best practices, and proactively share insights to inform enhancements to Kyndryl’s core platforms and frameworks.

6. Continuous Learning: Adapt quickly to emerging technologies and evolving customer requirements by engaging in ongoing professional development.

7. 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.

Preferred Experience

• Experience in Observability and evaluation platforms – e.g. Langsmith

Equal Opportunity Employer Statement

Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.