Fis Management Services LLC

Fis Management Services LLC

Systems Operations Engineer, NLP, LLM

US FL JAX 347, USA

Sponsorship not specifiedDetected 25 days ago
PythonJavaC#Distributed SystemsAWSAzureCI/CDDevOpsMachine LearningNLPLLMsAgentic AIComplianceResearchLeadershipCommunicationCollaborationProblem Solving

About the role

  • As a senior technical leader and hands-on developer, you will be responsible for creating advanced voice-driven AI agent solutions tailored to the needs of banking and financial services.
  • This position places a strong emphasis on innovation in Agentic AI, conversational AI, and voice interfaces, along with the development of autonomous decision-making agents that leverage Microsoft's latest AI and cloud technologies.
  • Security & Responsible AI: Embed security, privacy, and Responsible AI best practices into all solutions.

Responsibilities

  • Build agentic workflows that allow AI to perform complex, multi-step tasks autonomously.
  • Develop orchestration logic and use container services in AWS and Azure (AKS, EKS, ECS etc.) and microservices architectures to ensure these AI agents run efficiently in production.
  • In this role, you will design and launch AI systems within regulated enterprise environments, ensuring that these systems are scalable, secure, and reliable.
  • Your success will be measured by the robust, transformative AI capabilities you deliver, which enhance customer experiences and improve operational efficiency.
  • Throughout your work, you will maintain the highest standards of quality, compliance, and performance.
  • Integrate LLM models and cognitive services (e.g. OpenAI models, Azure AI Speech (STT/TTS), Azure AI Foundry, AWS Sagemaker/bedrock) into enterprise applications to deliver natural language and voice interactions.
  • Agentic Workflows & Orchestration: Build agentic workflows that allow AI to perform complex, multi-step tasks autonomously.
  • Quality, Observability & Optimization: Implement robust monitoring, logging, and observability for AI services.

Requirements

  • AI & Voice Expertise: Hands-on expertise with AI/ML technologies, including natural language processing (NLP) or speech recognition.
  • Familiarity with large language models (e.g., GPT, Claude or similar) and conversational AI/voice assistant development.
  • Microsoft Azure and AWS Proficiency: Strong experience developing with Microsoft Azure and AWS cloud services.
  • Knowledge of CI/CD, Azure and AWS container services for deploying AI workloads.
  • Experience implementing microservices, containerization, and API integration.
  • Problem Solving & Innovation: Strong analytical and problem-solving skills with the ability to navigate complex technical challenges.
  • Communication: Excellent communication skills, with ability to explain complex AI solutions and technical strategies to diverse stakeholders.
  • If you are made a conditional offer of employment, you will be required to undergo a drug test.
  • Extensive Industry Experience: Proven experience (e.g. 5+ years) in software development and architecture, building large-scale AI or cloud-based solutions in production environments.
  • AI & Voice Expertise: Hands-on expertise with AI/ML technologies, including natural language processing (NLP) or speech recognition. Familiarity with large language models (e.g., GPT, Claude or similar) and conversational AI/voice assistant development.
  • Microsoft Azure and AWS Proficiency: Strong experience developing with Microsoft Azure and AWS cloud services. Knowledge of CI/CD, Azure and AWS container services for deploying AI workloads.
  • Programming & DevOps Skills: Proficient in modern programming languages (such as Python, Java, C#, or similar) and building APIs or microservices. Solid understanding of DevOps and CI/CD practices (e.g., Azure DevOps pipelines) to ensure frequent, reliable delivery of AI software.
  • System Design & Architecture: Deep knowledge of scalable, distributed systems designs and cloud-native architecture. Experience implementing microservices, containerization, and API integration.
  • Problem Solving & Innovation: Strong analytical and problem-solving skills with the ability to navigate complex technical challenges. Innovative mindset to drive continuous improvement and to evaluate emerging technologies for potential adoption.
  • Financial Services Familiarity: Experience working in banking, fintech, or other heavily regulated industries and understanding of compliance, security, and data privacy considerations for AI solutions in these environments.
  • AI Research & Innovation: Demonstrated interest in emerging AI trends (such as agentic AI, multi-modal models, reinforcement learning, etc.) and experience bringing new AI concepts from prototype to production.
  • What We Offer you

Nice to have

  • However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation.
  • All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
  • Recruitment at FIS works primarily on a direct sourcing model
  • a relatively small portion of our hiring is through recruitment agencies.
  • Advanced Degree: Master's or higher degree in Computer Science, Engineering, AI, or related field (or equivalent practical experience) is a plus.

Skills

  • Solid understanding of DevOps and CI/CD practices (e.g., Azure DevOps pipelines) to ensure frequent, reliable delivery of AI software.
  • Bonus if you have
  • Opportunities to make an impact in fintech.
  • Personal and professional learning.
  • Inclusive, diverse work environment.
  • Resources to give back to your community.

Compensation

  • Competitive salary and benefits.
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