Principal, AI Engineer

Principal, AI Engineer

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Principal, AI Engineer

About your role:

As a Principal AI Engineer, you will design and deliver advanced generative artificial intelligence (AI) solutions that support scalable, production-ready intelligent applications across the enterprise. You will work with engineering, architecture, and product teams to build multi-agent systems, retrieval-augmented generation (RAG) pipelines, and cloud-native AI services that enable innovation and operational efficiency. Your work will help strengthen AI platform capabilities, improve solution reliability, and accelerate enterprise adoption of next-generation intelligent systems.

What you'll do:

• Design and implement generative AI solutions using large language model orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.
• Build and optimize multi-agent systems that coordinate intelligent task execution, reasoning, and workflow orchestration across enterprise applications.
• Develop retrieval-augmented generation (RAG) pipelines using embeddings, vector stores such as Weaviate, and data retrieval strategies that improve relevance and response quality.
• Build backend services and application interfaces using Python, FastAPI, Java, Spring Boot, or similar technologies to support scalable AI-driven applications.
• Design and support cloud-native AI solutions across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), including serverless and containerized deployment patterns.
• Collaborate with engineering and platform teams to integrate AI applications with data services, messaging systems, caching layers, and enterprise platforms such as Oracle, PostgreSQL, Apache Ignite, RabbitMQ, or similar technologies.
• Drive engineering best practices for observability, scalability, security, reliability, and operational readiness across AI and machine learning services.
• Provide technical leadership in solution design, architectural reviews, and implementation patterns that advance enterprise AI engineering standards.
• Evaluate and improve performance of AI applications through efficient use of data processing tools such as Apache Spark, Pandas, and related analytics or pipeline technologies.
• Responsibilities listed are not intended to be all-inclusive and may be modified as necessary.

Experience you'll need to have:

• 13+ years of experience in software engineering, AI engineering, machine learning engineering, or related technical disciplines supporting enterprise-scale applications.
• 13+ years of experience developing production services using Python, Java, Spring Boot, FastAPI, or similar backend engineering frameworks.
• Experience with generative AI, multi-agent systems, large language model orchestration, and retrieval-augmented generation pipelines using tools such as LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Experience with vector databases or semantic retrieval platforms such as Weaviate and with data integration patterns supporting AI application development.
• Experience deploying and operating cloud-native applications across AWS, Azure, GCP, Kubernetes, Docker, or serverless architectures.
• Experience working with relational and distributed data platforms such as Oracle, PostgreSQL, Apache Ignite, ElastiCache, RabbitMQ, Apache Spark, or similar technologies in scalable environments.
• Bachelor’s degree or higher in Computer Science, Engineering, Data Science, Information Systems, or related field or equivalent combination of education, related experience and/or military experience.

Experience that would be great to have:

• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field.
• Experience leading architecture and design decisions for enterprise AI platforms or intelligent application ecosystems.
• Experience in financial services, payments, or regulated technology environments.
• Experience with observability, evaluation, and governance practices for generative AI applications in production.

How you'll work:

• This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.

Thank you for considering employment with Fiserv.  Please:

• Apply using your legal name
• Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. 

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

Experience Level

Senior Level