Cloud Developer

OverviewAs 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.ResponsibilitiesLeading the design, development, and implementation of an agentic customer engagement platform, leveraging the latest Generative AI capabilitiesCollaborating with other development teams to integrate agents, tools, and cloud services, ensuring seamless functionality and efficient workflowsMonitoring, operating, and optimizing the solution for performance, customer satisfaction, and cost efficiency, ensuring high availability and responsivenessDevelop and integrate autonomous agents that can plan, execute, and monitor tasks across cloud platforms, including retrieval-augmented generation, tool use, and workflow automationParticipating in code reviews, technical discussions, and contributing to the overall architectural strategy of AI solutionsIntegrate large language models (LLMs), vector search, and other ML capabilities to power conversational experiences and intelligent recommendationsCollaborate with software engineering and security teams to ensure new services and features are production-ready and meet reliability standardsQualificationsFamiliarity with Agent Development Kit (ADK), Model Context Protocol (MCP) and strong skills in prompt engineering for optimizing Generative AI model outputs5+ years of experience in software development with proficiency in at least one programming language (e.g., Python, Go, Java, C++)Experience administering cloud platforms (AWS, GCP, Azure), including networking, security, containerization, storage, data management, and serverless technologiesDeep understanding of observability (monitoring, alerting, and logging) tools in cloud environments. Ability to set up and maintain monitoring dashboards, alerts, and logsFamiliarity with Continuous Integration/Continuous Deployment (CI/CD) tools for automated testing, deployments, provisioning, and observabilityAbility to manage and respond to incidents, perform root cause analysis, and implement post-mortem reviewsUnderstanding and practical experience with MLOps principles for managing the machine learning lifecycleExperience with data management and engineering principles in a cloud contextAdditional Qualifications a PlusExperience working with enterprise-scale financial services or other regulated industries5+ years of experience in SRE, DevOps, MLOps, infrastructure, or cloud engineering roles, preferably supporting large-scale, distributed systemsExperience leading technical projects or mentoring junior engineersCloud Certifications: Certified Engineer, Developer, Architect, DevOpsAI TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. AI TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will AI TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract #J-18808-Ljbffr