Java AI Lead

About Position:

We are seeking an experienced Java AI Lead with 10-14 years of expertise in designing, developing, and delivering enterprise-scale applications and AI-driven solutions. The ideal candidate will provide technical leadership across multiple programs, define architecture strategies, drive modernization initiatives, and lead high-performing engineering teams.

• Role: Java AI Lead
• Location: Hyderabad
• Experience: 10 to 14 Years
• Job Type: Full-Time Employment

What You'll Do:

• Lead the architecture, design, and delivery of large-scale enterprise applications and modernization programs.
• Define and drive cross-program technical strategy, engineering standards, and reference architectures.
• Design scalable Microservices and event-driven architectures using Java, Spring Boot, and Kafka.
• Lead complex transformation initiatives including COBOL to Java modernization, IBM MQ to Kafka migration, and cloud transformation programs.
• Design and implement Agentic AI solutions, RAG-based architectures, and AI-assisted engineering workflows.
• Establish AI-Driven Software Development Lifecycle (AIDLC) standards and adoption across engineering teams.
• Define evaluation frameworks, AI governance models, and performance measurements for AI-powered solutions.
• Collaborate with Enterprise Architects, Product Owners, Business Stakeholders, and Delivery Teams to align technology strategy with business objectives.
• Drive architecture reviews, technical governance, solution assessment, and engineering best practices.
• Lead cloud-native application development and modernization initiatives using GCP technologies.
• Oversee enterprise integration, resiliency, scalability, observability, and performance engineering initiatives.
• Drive technical excellence through code reviews, design reviews, mentoring, and engineering coaching.
• Own project delivery governance, resource planning, demand forecasting, and project health management.
• Manage client relationships, stakeholder communications, and executive-level technical discussions.
• Lead technical demonstrations, solution workshops, and architecture presentations.
• Define reusable frameworks, development accelerators, and engineering productivity improvements.
• Support CI/CD implementation, DevOps automation, security, and compliance initiatives.
• Mentor engineering teams and cultivate a culture of innovation, learning, and continuous improvement.

Expertise You'll Bring:

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 10-14 years of experience in enterprise application development, software architecture, and technology leadership.
• Strong expertise in Java, Spring Boot, Microservices Architecture, and Enterprise Application Design.
• Extensive experience with Kafka and Event-Driven Architectures.
• Strong understanding of distributed systems, scalability patterns, and enterprise integration frameworks.
• Experience designing and implementing cloud-native solutions on Google Cloud Platform (GCP).
• Knowledge of GKE, Cloud Run, Pub/Sub, Cloud SQL, and cloud modernization strategies.
• Expertise in API-driven architectures, RESTful services, and asynchronous messaging systems.
• Strong understanding of architecture principles, design patterns, domain-driven design, and engineering best practices.
• Experience with PostgreSQL and enterprise database technologies.
• Hands-on experience with GitHub, GitHub Copilot, Maven, Docker, Jira, and Confluence.
• Strong understanding of CI/CD pipelines, DevOps practices, and deployment automation.
• Experience with Harness, SonarQube, containerization, Kubernetes, and observability frameworks.
• Exposure to Terraform and Infrastructure as Code methodologies.
• Experience with workflow orchestration platforms such as Camunda or Appian.
• Strong knowledge of Generative AI, Agentic AI, RAG architectures, and Context Engineering.
• Experience implementing AI productivity frameworks and measuring AI ROI across engineering teams.
• Knowledge of MCP (Model Context Protocol) integrations and enterprise AI tooling.
• Familiarity with Vertex AI, IBM Watsonx, and enterprise AI platforms.
• Strong architectural expertise in legacy modernization and migration programs.
• Proven experience leading large engineering teams and multiple workstreams.
• Strong client engagement, stakeholder management, and executive communication skills.
• Excellent analytical, problem-solving, and decision-making abilities.
• Experience working in Agile, DevOps, and modern software delivery environments.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let's unleash your full potential at Persistent - persistent.com/careers

Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.