IT - Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL

Client: Apple (Infosys sub-con)

Do you have a pre-identified candidate? New sourcing? Existing Subcon? : New sourcing

Do you have a preferred interview schedule?: No

Would you require the candidates to meet you for an in-person interview?: The client requires an in-person interview. Candidates must be available to attend the interview at the client's Sunnyvale/Austin office.

Is Skype/WebEx interview OK?: No

Work Location with ZIP: Sunnyvale, CA 94085

Is remote work an option?: No

If remote work, please indicate how many days are required to be in the office and remote: NA

Chance to be perm?:

Performance Expectations:

Technical Hiring Criteria (Must Haves)
• Top 3 Required skills:

Java (Spring Boot, Microservices).


GenAI, LLMs, AI/ML frameworks
Python
• Years of experience in each of the must-have skills:

At least 8 to 10 years.
• Any Certifications required: No

Any additional information you would like to share about the project specs/nature of work:

Core Skill required for this role:

Job Title: Java + AI Engineer

Experience Level: 5-10 years

About the Role

We are looking for a passionate 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.

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 (e.g., 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, Azure OpenAI).
Maintain coding standards, CI/CD pipelines, and cloud deployment best practices (AWS, GCP, or Azure).
Troubleshoot performance issues and ensure application reliability.

Required Skills & Experience

Strong Java development experience (Java 8+, Spring Boot, REST APIs).
Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Hands-on experience or exposure to Generative AI technologies (e.g., LLM integration, prompt engineering, or AI model APIs)
Experience integrating AI APIs (e.g., OpenAI, Hugging Face, Google Vertex AI).
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).
Knowledge of SQL/NoSQL databases and data ingestion pipelines.
Excellent communication and problem-solving skills.

Preferred Qualifications

Experience working with Generative AI / LLM applications.
Exposure to LangChain, 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.

Education
• Bachelor's or Master's in Computer Science, Engineering, or related field.

Interview Criteria: The client requires an in-person interview. Candidates must be available to attend the interview at the client's Sunnyvale office.