Senior Java AI Engineer

SS&C Technologies

. Design and implement Agentic-enabled workflows that improve developer productivity and software quality .

Posted 10/27/2026full-timeHyderabad • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in software development with a strong focus on Java and Python, leveraging AI-assisted tools and methodologies to enhance productivity and quality throughout the application development lifecycle. Proven ability to transform traditional SDLC practices into autonomous Agentic-driven Application Development Lifecycle models while ensuring engineering excellence.

Highest-signal resume keywords

Java DevelopmentPython DevelopmentAI-Assisted DevelopmentAgentic-Driven Application Development LifecycleMicroservices Architecture

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Hard Skills

Software DevelopmentSolution DesignTestingProduction SupportDatabase DesignSecure Coding PracticesCI/CD PipelinesDevOps PracticesAgile DeliveryPrompt Engineering

Soft Skills

CollaborationProblem-SolvingTechnical Documentation

Tools & Technologies

Claude CodeGitHub CopilotAI AgentsAutomation Tools

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Software EngineeringBachelor's Degree in Information Technology

Industry Keywords

SDLC MethodologiesAI Evaluation TechniquesContext Management StrategiesEvent-Driven Architectures

Tech Stack

Tools & technologies

JavaMicroservicesPythonSDLC

About the role

Key responsibilities & impact

Design and implement Agentic-enabled workflows that improve developer productivity and software quality
Leverage Claude Code and AI-assisted development tools to accelerate project deliverables from requirement analysis through production activities
Apply AI-assisted approaches throughout the application development lifecycle while maintaining engineering quality standards
Contribute to evolving traditional SDLC practices toward Agentic-driven Application Development Lifecycle (ADLC) models
Implement AI agents and automation capabilities supporting planning, development, testing, review, integration, deployment, and operational support
Identify opportunities to reduce manual effort and repetitive engineering tasks through AI-driven automation
Support production applications and troubleshoot complex technical issues
Use AI-assisted techniques to accelerate root cause analysis and incident resolution
Create and maintain technical documentation, operational procedures, and knowledge artifacts
Collaborate with operations, support, Product Owners, Business Analysts, Architects, QA teams, and Developers
Contribute to technical design discussions and implementation planning
Promote best practices for AI-assisted software development and engineering excellence

Requirements

What you’ll need

10+ years of hands-on software development experience in Java and Python
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline
Proven experience designing and delivering enterprise software applications
Proven experience transforming software delivery from traditional SDLC methodologies to autonomous Agentic-driven Application Development Lifecycle (ADLC) platforms, leveraging AI agents to automate planning, implementation, testing, review, integration, and delivery
Experience implementing AI-assisted development capabilities within software engineering teams
Strong background in solution design, software development, testing, and production support
Hands-on experience with Claude Code and GitHub Copilot
Practical experience applying AI to software design, development, code review, testing, documentation, and troubleshooting
Understanding of prompt engineering, RAG concepts, AI agents, context management strategies, and AI evaluation and validation techniques
Strong proficiency in Java and Python and software development frameworks
Experience with microservices, event-driven architectures, database design and integration, and secure coding practices
Strong understanding of SDLC methodologies, CI/CD pipelines, DevOps practices, and Agile delivery approaches