Position Summary:
As a Cloud Developer with a focus on Generative AI, you will design and build an innovative application that transforms how developers interact with cloud technologies. Your work will help shape our agent-oriented software engineering (AOSE) journey. You will combine conversational AI, intelligent workflows, and integrated agents to automate and enhance developer experience using cloud at Fiserv.
Primary Responsibilities:
• Leading the design, development, and implementation of an agentic customer engagement platform, leveraging the latest Generative AI capabilities
• Collaborating with other development teams to integrate agents, tools, and cloud services, ensuring seamless functionality and efficient workflows
• Monitoring, operating, and optimizing the solution for performance, customer satisfaction, and cost efficiency, ensuring high availability and responsiveness.
• Develop and integrate autonomous, agents that can plan, execute, and monitor tasks across cloud platforms, including retrieval-augmented generation, tool use, and workflow automation
• Participating in code reviews, technical discussions, and contributing to the overall architectural strategy of AI solutions
• Integrate large language models (LLMs), vector search, and other ML capabilities to power conversational experiences and intelligent recommendations
• Collaborate with software engineering and security teams to ensure new services and features are production-ready and meet reliability standards
Qualifications:
• Familiarity with Agent Development Kit (ADK), Model Context Protocol (MCP) and strong skills in prompt engineering for optimizing Generative AI model outputs.
• 5+ years of experience in software development with proficiency in at least one programming language (e.g., Python, Go, Java, C++)
• Experience administrating cloud platforms (AWS, GCP, Azure), including networking, security, containerization, storage, data management, and serverless technologies
• Deep understanding of observability (monitoring, alerting, and logging) tools in cloud environments. Ability to set up and maintain monitoring dashboards, alerts, and logs
• Familiarity with Continuous Integration/Continuous Deployment (CI/CD) tools for automated testing, deployments, provisioning, and observability
• Ability to manage and respond to incidents, perform root cause analysis, and implement post-mortem reviews
• Understanding and practical experience with MLOps principles for managing the machine learning lifecycle
• Experience with data management and engineering principles in a cloud context
Additional Qualifications a Plus:
• Experience working with enterprise-scale financial services or other regulated industries
• 5+ years of experience in SRE, DevOps, MLOps, infrastructure, or cloud engineering roles, preferably supporting large-scale, distributed systems.
• Experience leading technical projects or mentoring junior engineers
• Cloud Certifications: Certified Engineer, Developer, Architect, DevOps.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law