[Remote] Principal Applied AI Engineer, Finance

Note: The job is a remote job and is open to candidates in USA. Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. They are seeking a Principal Applied AI Engineer to lead the design and delivery of AI and predictive models that transform financial decision-making at scale, focusing on production-grade AI systems and intelligent automation.ResponsibilitiesArchitect and lead the development of agentic AI systems that automate and augment finance workflows (e.g., forecasting, reporting, and decision support)Design and implement multi-agent systems leveraging LLMs, tool-use frameworks, and orchestration patterns (e.g., RAG, model chaining, dynamic prompting)Translate cutting-edge research in LLMs and agentic AI into scalable, production-ready solutionsEstablish guardrails, evaluation frameworks, and responsible AI practices to ensure safe, compliant, and reliable outputsDesign fault-tolerant, observable agent systems with clear failure modes and recovery strategiesLead the design and implementation of advanced predictive models, including time series forecasting and attrition prediction across customer segmentsDevelop interpretable, production-grade models that drive retention strategies and financial planningDefine and standardize evaluation metrics, validation frameworks, and monitoring systems for model performance and drift detectionTranslate complex predictive insights into actionable recommendations for finance and business leadersDesign and build scalable AI/ML systems with a strong emphasis on software engineering best practices (modular design, APIs, CI/CD, testing)Lead end-to-end development from concept to production, ensuring robustness, scalability, and maintainabilityDevelop and integrate AI services into internal applications and workflows, including light front-end/back-end components where neededDrive adoption of modern tooling (e.g., containerization, orchestration, cloud-native architectures)Establish and enforce MLOps best practices for deployment, monitoring, retraining, and governance of AI systemsEnsure systems meet enterprise standards for security, compliance (e.g., SOX), and auditabilityDevelop advanced feature engineering strategies capturing behavioral, financial, and temporal signalsSet technical direction for AI/ML initiatives across the finance organizationLead complex, cross-functional projects and mentor other data specialistsWork alongside stakeholders across finance, IT, and product to adopt AI-driven solutionsContribute to long-term AI strategy, identifying opportunities to drive efficiency and innovationSkills8+ years of experience in data science, software engineering, and AI engineering, with significant experience deploying production systemsProven track record of building production AI systems used at scaleDeep expertise in predictive modeling, including time series forecasting and customer churn modelingAdvanced proficiency in Python and strong experience with ML/AI frameworks and system designHands-on experience with LLMs, including prompt engineering, fine-tuning, and evaluation techniquesStrong experience with cloud platforms (preferably AWS), distributed systems, and MLOps practicesExperience working with financial data and compliance-aware modelingStrong software engineering foundation, including API development, containerization (Docker/Kubernetes), and CI/CD pipelinesExpertise in building production agentic AI frameworks, including multi-agent orchestration, tool-using agents, and autonomous workflowsExperience building RAG-based systems, vector databases, and semantic search architecturesDemonstrated ability to lead large-scale AI initiatives and influence technical strategyDeep understanding of responsible AI practices, including model alignment, guardrails, and bias mitigationExceptional communication skills, with the ability to translate complex technical concepts into business valueTrack record of mentoring and elevating technical teams in high-impact environmentsBenefitsMedical, Dental, and Vision Insurance.Telehealth coverageFlexible work schedules and work from home opportunitiesDevelopment and career growth opportunitiesOpen Time Off in addition to 10 paid holidays401(k) matching programAdoption AssistanceFertility treatmentsCompany OverviewGenesys enables organizations to orchestrate the best AI-powered experiences to drive customer loyalty and growth. It was founded in 1990, and is headquartered in Menlo Park, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.genesys.com.Company H1B SponsorshipGenesys has a track record of offering H1B sponsorships, with 2 in 2025, 2 in 2021. Please note that this does not guarantee sponsorship for this specific role.