Senior Agentic AI Engineer
- Kyndryl
- 10 - 20 years
- Chennai
- 4 months ago
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Job Description
Role & responsibilities:
- Design and implement agentic AI systems that automate discovery, assessment, and migration of legacy applications.
- Develop intelligent workflows for refactoring monolithic systems into microservices or serverless architectures.
- Integrate AI agents with cloud platforms (Azure, AWS, GCP) to orchestrate infrastructure provisioning, data migration, and validation.
- Build reasoning engines that optimize migration paths based on cost, performance, and compliance.
- Collaborate with architects, DevOps, and business stakeholders to align AI-driven modernization with enterprise goals.
- Concentrateson building and integrating custom AI agents to solve specific, tactical customer problems.
- Apply LLMs, graph reasoning, and planning to accelerate decision-making in migration scenarios.
- Monitor agent performance, retrain models, and continuously improve autonomy and reliability.
- Evaluate the effectiveness of prototypical agents through an understanding of both legacy and modern application development languages.
Required Skills & Qualifications:
- Bachelors or masters degree in computer science, AI, or related field.
- Experience in AI engineering, with a focus on agentic systems or autonomous workflows.
- 10+ years of experience in application development.
- Deep understanding of application migration strategies (rehost, replatform, refactor, retire).
- Experience having built and leveraged AI for software development.
- Proficiency in cloud-native development and infrastructure-as-code (Terraform, Pulumi).
- Experience building autonomous agents using frameworks like Lang Chain, Semantic Kernel, or custom planners.
- Experience with LLMs, reinforcement learning, or multi-agent systems.
- Strong programming skills in Python, Java, or other modern languages.
Preferred Qualifications:
- Experience with both modern and legacy application development.
- Experience in Legacy modernization assessments.
- Good understanding of Legacy technologies (AS400, IBM Mainframe, HP Tandem, etc)
- Experience in reverse engineering of legacy source to generate business requirements
- Certifications in cloud architecture (e.g., Azure Architect Expert, AWS Solutions Architect), Agentic AI.
- Familiarity with enterprise platforms (SAP, Infor, Oracle) and legacy modernization tools.
- Experience developing ML Models
- Knowledge of data lake architectures and ETL pipelines (e.g., Azure Data Factory, Databricks).
- Exposure to compliance frameworks (GDPR, HIPAA) and secure migration practices.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: KyndrylLocation(s): Chennai+ View Contact
Keyskills: Agentic Ai Design And Implementation Artificial Intelligence Machine Learning
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