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Java Ai Developer Jobs in Philadelphia, PA (NOW HIRING)

Sr Software Engineer - Java

King Of Prussia, PA · On-site

$124K - $163K/yr

Agile & DevOps Execution: Show proficiency in DevOps and Agile principles by actively participating ... AI Integration: Experience with development via AI or AI usage to improve engineering velocity.

Sr Software Engineer - Java

King Of Prussia, PA · On-site

$124K - $163K/yr

Agile & DevOps Execution: Show proficiency in DevOps and Agile principles by actively participating ... AI Integration: Experience with development via AI or AI usage to improve engineering velocity.

Sr Software Engineer - Java

King Of Prussia, PA · On-site

$124K - $163K/yr

Agile & DevOps Execution: Show proficiency in DevOps and Agile principles by actively participating ... AI Integration: Experience with development via AI or AI usage to improve engineering velocity.

Sr Software Engineer - Java

King Of Prussia, PA · On-site

$124K - $163K/yr

Agile & DevOps Execution: Show proficiency in DevOps and Agile principles by actively participating ... AI Integration: Experience with development via AI or AI usage to improve engineering velocity.

Senior AI Engineer

Trenton, NJ · On-site

$143.50 - $215.20/hr

... developer productivity across the organization. You will work on AI agents and platforms across ... Strong proficiency in Java, Go, or Python for service development. * Good understanding of design ...

Posted today

... DevOps practices and a proven ability to design, build, and deliver resilient, secure, and scalable ... AI across: agentic workflows, agent delegation, analysis, and conversational prompting Why ...

Lead AI / ML Engineer

Philadelphia, PA · On-site

$103K - $136K/yr

Proficiency in programming languages like Python, R, or Java. Familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Experience on big data technologies and tools (e.g ...

Showing results 41-60

Java Ai Developer information

See Philadelphia, PA salary details

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$57

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How much do java ai developer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for java ai developer in Philadelphia, PA is $57.21, according to ZipRecruiter salary data. Most workers in this role earn between $49.47 and $64.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Java AI Developer?

To thrive as a Java AI Developer, you need strong proficiency in Java programming, machine learning concepts, and a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or Deeplearning4j), version control systems like Git, and experience with cloud platforms are typically required. Creative problem-solving, strong analytical thinking, and effective communication skills help developers collaborate and innovate in complex AI projects. These skills ensure the delivery of efficient, scalable AI solutions and foster productive teamwork in fast-evolving tech environments.

What are some common challenges faced by Java AI Developers when integrating machine learning models into existing enterprise systems?

One of the main challenges Java AI Developers encounter is ensuring seamless integration of machine learning models—often built with Python-based frameworks—into Java-based enterprise environments. This can involve using APIs, microservices, or platforms like TensorFlow Java and Deeplearning4j to bridge compatibility gaps. Additionally, developers must optimize model performance for scalability and real-time inference, which requires thorough testing and tuning. Effective collaboration with data scientists and DevOps teams is crucial to address deployment issues and maintain model accuracy in production.

What is a Java AI Developer?

A Java AI Developer is a software professional who designs, develops, and implements artificial intelligence solutions using the Java programming language. They build machine learning models, integrate AI features into applications, and work with frameworks and libraries suited for AI development in Java. Their role often involves data processing, algorithm development, and deploying scalable AI-powered applications. Java AI Developers may work in various industries such as finance, healthcare, or technology to create intelligent systems that help solve complex business problems.
What are popular job titles related to Java Ai Developer jobs in Philadelphia, PA? For Java Ai Developer jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Java Ai Developer jobs in Philadelphia, PA look for? The top searched job categories for Java Ai Developer jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Java Ai Developer jobs? Cities near Philadelphia, PA with the most Java Ai Developer job openings:

Lead Java Platform Engineer (Payments Publish) - Senior Vice President

Information Technology Senior Management Forum

New Castle, DE • On-site

$156 - $234.24/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

About the Role

We are seeking an experienced, hands-on Senior Java Lead to contribute to the development of our engineering frameworks, with a strong focus on microservice architecture. This senior engineering leadership role merges hands‑on technical contribution with organizational accountability. The ideal candidate will remain deeply involved in the code and architecture while simultaneously owning the platform strategy, defining engineering standards, and guiding a scrum team in developing core functionalities within the payments lifecycle.


You will be responsible for the reliability, scalability, security, and evolution of a global cheque payment platform and will play a pivotal role in integrating AI into both the platform and the engineering workflow.


Key Responsibilities
1. Hands‑On Technical Contribution & System Design

  • Actively code in Java developing reusable frameworks while performing system design, architecture reviews, and code reviews for the core cheque payment platform.

  • Contribute to the design of distributed, fault‑tolerant, real‑time systems for high‑volume, low‑latency transaction processing.

  • Write, review, and refactor production‑grade code in Java setting a high technical standard for the team.

  • Independently design event‑driven, microservices‑based architectures utilizing REST APIs, Java and React.

  • Apply hands‑on experience with Kafka, including message schema design, topic partitioning, consumer group strategies, and fault‑tolerant processing.

  • Design and govern data architecture across Oracle (SQL) and MongoDB (NoSQL), covering schema design, indexing strategies, query optimization, and data consistency patterns.

  • Champion continuous development, feature flags, and progressive delivery, contributing to the design and optimisation of CI/CD pipelines.

  • Produce and review Architecture Decision Records (ADRs) and technical design documents for key platform components.


2. Engineering Excellence & Quality

  • Maintain and enforce engineering standards within the scrum team, including Test‑Driven Development (TDD), reusable framework development, CI/CD, secure coding, and observability.

  • Conduct code reviews for critical platform components, providing detailed technical feedback to enhance team quality and capacity, ensuring the development of scalable and reusable services.

  • Drive the adoption of AI‑powered quality practices, including leveraging tools like GitHub Copilot for coding, utilizing LLMs (Gemini experience preferred) to improve payment processing quality, and implementing automated test script generation and vulnerability remediation.

  • Lead performance engineering initiatives, including profiling JVM‑based applications Java identifying performance hotspots, and optimising critical settlement processing paths.

  • Own the security and compliance posture of the cheque payment platform by participating in threat modelling, vulnerability assessments, and secure design reviews.

  • Ensure all engineering delivery aligns with Citi Engineering Excellence Standards, including CI/CD, DevOps, cloud‑native practices, and modern ways of working.


3. Platform Strategy & Domain Ownership

  • Define and own the engineering roadmap for modernising the cheque payment platform, migrating global components from monolithic mainframe and legacy applications to a reusable microservices architecture.

  • Develop strong domain knowledge in the payment lifecycle, settlement, and cheque image processing to inform sound engineering decisions.

  • Own the platform's SLA commitments, driving architectural decisions to meet availability, throughput, and latency targets.

  • Develop cross‑platform integration by governing API contracts, data flows, and system dependencies across the Payments, Settlements, DDA, and Data Lake ecosystems.

  • Drive capacity planning and investment prioritisation, making informed decisions on platform scaling, technology refresh, and resource allocation.

  • Partner with Operations, Risk, Compliance, and Business teams to ensure the platform meets all regulatory requirements and business needs.


4. Leadership & Stakeholder Engagement

  • Act as the primary engineering point of contact for the core Cheque Processing pillar, engaging with senior business, technology, and operations stakeholders.

  • Clearly communicate platform health, delivery progress, engineering strategy, and risks to senior leadership.

  • Partner with Product, Operations, Risk, Finance, and Compliance teams to align engineering priorities with business and regulatory needs.

  • Demonstrate the ability to pivot direction to meet timelines and delivery commitments with tactical solutions, while maintaining a clear vision for strategic platform development.


Skills and Qualifications
1. Core Programming & System Architecture

  • Java: 10+ years of extensive hands‑on experience in high‑throughput, production‑grade Java engineering, including JVM performance tuning.

  • API Development: Hands‑on experience building RESTful APIs with frameworks such as Spring MVC or Spring Boot.

  • Microservices Architecture: Proven experience designing microservices ecosystems, including service decomposition, API design, inter‑service communication, and cloud engineering.

  • Event‑Driven & Messaging Systems: Deep, hands‑on expertise in Kafka, including topic design, partitioning, consumer groups, exactly‑once semantics, and high‑throughput stream processing.

  • High‑Performance Computing: Hands‑on experience with profiling and optimisation, including JVM tuning, garbage collection (GC) optimisation, thread management, and memory profiling.

  • High Availability & Fault Tolerance: Practical experience designing resilience patterns such as circuit breakers, bulkheads, failover, and disaster recovery.

  • Databases: Hands‑on expertise in Oracle (SQL) and Microsoft SQL for schema design, query optimisation, and indexing, as well as MongoDB (NoSQL) for document modeling, aggregation pipelines, sharding, and replica sets.


2. Cloud & DevOps

  • Cloud‑Native Engineering: Hands‑on experience with OpenShift/AWS, Kubernetes, and Docker for container orchestration, autoscaling, and cloud‑native deployment.

  • CI/CD & DevOps: Experience designing and owning CI/CD pipelines aligned with enterprise‑level Engineering Excellence Standards. Experience with tools like Jenkins and Gradle/Maven.

  • Observability: Hands‑on experience with distributed tracing, intelligent alerting, and AI‑driven observability using tools like Grafana.

  • Secure Engineering: Practical experience with threat modelling, vulnerability assessments, and secure design reviews.

  • Agile at Scale: Experience with Agile/SAFe delivery at the program level, including PI planning, cross‑team dependency management, and delivery governance.


Good‑to‑Have Skills

  • ML Integration: Hands‑on experience with real‑time ML model serving, including feature stores, online inference, and model monitoring.

  • AI Frameworks: Familiarity with Retrieval‑Augmented Generation (RAG) patterns, vector databases (e.g., Pinecone, Weaviate), or agentic AI frameworks (e.g., LangChain, AutoGen).

  • MLOps: Knowledge of MLOps practices such as model versioning, deployment pipelines, and production model monitoring.

  • Resilience Testing: Experience with chaos engineering and resilience testing, including fault injection and production readiness reviews.

  • Financial Systems: Knowledge of reconciliation and exception handling patterns in settlement workflows.

  • LLM Experience: Familiarity with prompt engineering and LLM fine‑tuning in a regulated enterprise context.

  • Python: Hands‑on expertise in Python for data pipelines, AI/ML integration, scripting, and automation.

  • Legacy Modernisation: Experience with large‑scale transformation projects, including migrating mainframe components (COBOL, Assembler) and legacy systems (C++, .NET) to a microservices architecture.

  • Strategy: Experience with technology investment governance and engineering budget management.


What We Are Looking For

  • A hands‑on leader who actively contributes to code, frameworks, reviews, and technical problem‑solving.

  • A strategic thinker who is equally comfortable at the code/architecture level and the platform strategy/stakeholder management level.

  • A pragmatic innovator who identifies practical, high‑value opportunities to apply AI/ML without losing focus on engineering fundamentals.

  • An accountable owner with a strong sense of ownership for platform quality, reliability, and delivery.

  • A mentor committed to developing engineers and managers, building technical capability and leadership depth across the team.

  • An effective communicator able to translate technical complexity into clear, concise updates for business and senior leadership.


Why Join Us

  • Lead engineering for a central global payment platform while remaining deeply technical.

  • Drive AI and engineering transformation on a high‑visibility modernisation initiative with significant business impact.

  • Work at the intersection of high‑throughput financial systems and modern AI capabilities.

  • Build and mentor a strong engineering team with access to state‑of‑the‑art tools, platforms, and talent.

  • Be part of an engineering culture that values technical depth at every level of seniority.


Education:

  • Bachelor's degree/University degree or equivalent experience

  • Master's degree preferred


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Job Family Group:

Technology


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Job Family:

Applications Development


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Time Type:

Full time


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Primary Location:

New Castle Delaware United States


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Primary Location Full Time Salary Range:

$156,160.00 - $234,240.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.


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Most Relevant Skills

Please see the requirements listed above.


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Other Relevant Skills

For complementary skills, please see above.


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Anticipated Posting Close Date:

Jun 22, 2026


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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.


If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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