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.
You'll 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.

Required Qualifications:

• Bachelor's 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 is Austin, TX. This position requires travel and/or relocation to project/client location.

Preferred Qualifications:

• 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.

Client-provided location(s): Austin, TX

Job ID: Infosys-141196BR

Employment Type: FULL_TIME

Posted: 2025-11-18T18:38:48