Forward Deployed Engineer – AI

Kyndryl

Forward Deployed Engineer at Kyndryl collaborating with customers to deploy AI solutions. Shape industry-defining technologies and translate business challenges into technical solutions.

Posted 6/30/2026full-timeMumbai • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and deploying custom AI solutions using Agentic AI frameworks, with a strong focus on system performance, scalability, and reliability. Proficient in translating business challenges into technical solutions while actively contributing to AI platform evolution.

Highest-signal resume keywords

Agentic AI FrameworksPython ProgrammingAI/ML Frameworks (TensorFlow, PyTorch)Cloud AI Platforms (AWS, Azure, Google AI)Software Delivery Lifecycle

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Python ProgrammingAgentic AI FrameworksAI/ML FrameworksMulti-Agent SystemsRAG ArchitecturesVersion Control (Git & GitHub)Data Engineering ToolsSystem-Level OptimisationSecurity Best PracticesGenAI Solutions

Soft Skills

Customer CollaborationAdaptabilityProblem-SolvingDocumentation SkillsCommunication

Tools & Technologies

TensorFlowPyTorchHugging FaceAWSAzureGoogle AI

Industry Keywords

AI SolutionsTechnical SolutionsDeploymentOrchestrationSoftware Delivery Lifecycle

Tech Stack

Tools & technologies

AWSAzureCloudPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Partner with customers to understand business challenges and translate them into high-quality, fit-for-purpose technical solutions
Build and iterate custom AI solutions tailored to customer needs, leveraging agentic AI frameworks
Own delivery end to end, from scoping to production
Troubleshoot and enhance system performance, scalability, and reliability
Systematically capture deployment learnings, document best practices, and proactively share insights
Adapt quickly to emerging technologies and evolving customer requirements
Actively contribute to the evolution of Kyndryl’s AI platforms through feedback, code contributions, and collaboration

Requirements

What you’ll need

3-6 years of relevant IT experience
1 year of working experience in Agentic AI Frameworks, Orchestration, Deployment and 2 years on GenAI solutions
Programming Proficiency in Python
Experience working with AI/ML frameworks like TensorFlow or PyTorch
Familiarity with community-driven AI tools and libraries, including Hugging Face
Deep technical expertise in one or two domains
Experience designing, building, or integrating multi-agent systems and orchestration frameworks
Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources
Solid grasp of the software delivery lifecycle, version control (Git & GitHub), and data engineering tools
Experience with cloud AI platforms (AWS, Azure, Google AI)
Knowledge of system-level optimisation and security best practices
Ability to translate business requirements into technical solutions
Willingness to travel and work on customer premises as required.

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities
Wellness programs