Lead Java AI Engineer

Infosys is seeking a passionate Lead Java AI Engineer who can design build and integrate intelligent systems into scalable enterprise applications. The ideal candidate has a strong Java development background combined with hands-on experience using AI/ML tools APIs and frameworks and exposure to Generative AI and LLMs.
Youll work closely with cross-functional teams to design robust backend services and embed AI-driven capabilities such as natural language processing recommendation systems predictive analytics and automation.

Key Responsibilities

• Design and develop high-performance applications using Java (Spring Boot Microservices).
• Integrate AI models via REST APIs Python services or cloud AI platforms.
• Collaborate with data scientists to deploy and optimize ML models in production.
• Build APIs and microservices that enable intelligent data-driven features.
• Implement data pipelines for AI workloads ensuring scalability and reliability.
• Evaluate and experiment with GenAI LLMs and AI APIs (OpenAI AWS Bedrock Vertex AI OpenAI).
• Maintain coding standards CI/CD pipelines and cloud deployment best practices (AWS GCP).
• Troubleshoot performance issues and ensure application reliability.

• Bachelors degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• At least 4 years of experience in Information Technology.
• Experience in Java/J2EE development
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
• Location for this position isAustin TX. This position requires travel and/or relocation toproject/client location.

• At least 3 years of experience in Java/J2EE development
• At least 3 years of experience in DB SQL/NoSQL.
• Strong knowledge of Spring Boot Microservices Spring Security Spring MVC Spring Data JPA Hibernate.
• Hands-on experience with AI/ML frameworks (TensorFlow PyTorch scikit-learn).
• Experience integrating AI APIs (OpenAI Hugging Face Google Vertex AI).
• Hands-on experience designing and integrating microservices using REST APIs and asynchronous messaging (Kafka).
• High-level knowledge of CI/CD.
• Familiarity with Generative AI technologies (LLM integration prompt engineering AI model APIs).
• Solid understanding of data structures algorithms and software design patterns.
• Familiarity with Python for ML model interaction or API wrapping.
• Experience with Docker Kubernetes and cloud environments (AWS/GCP/Azure).
• Exposure to LangChain LangGraph RAG architecture or vector databases (Pinecone FAISS).
• Understanding of the machine learning lifecycle (training testing deployment).
• Experience with event-driven systems (Kafka RabbitMQ).
• Contribution to AI-based open-source projects or hackathons.
• Strong analytical and troubleshooting skills.
• Excellent oral and written communication skills.
• Ability to independently learn new technologies.
• Passionate team player and fast learner.

Along with competitive pay as a full-time Infosys employee you are also eligible for the following benefits :
Medical/Dental/Vision/Life Insurance
Long-term/Short-term Disability
Health and Dependent Care Reimbursement Accounts
Insurance (Accident Critical Illness Hospital Indemnity Legal)
401(k) plan and contributions dependent on salary level
Paid holidays plus Paid Time Off

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone email or face to face. Travel may be required as per the job requirements.