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Automation Jobs in Charlotte, NC

Sr. Agentic AI/Automation Engineer

Motion Recruitment
  • CHARLOTTE, NC
    1 day ago

    Job Description

    Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Sr. Agentic AI/Automation Engineer in Charlotte, NC or Irving, TX.

    Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

    Contract Duration: 12 Months

    Required Skills & Experience
    • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
    • 4+ years of software engineering experience or equivalent through a combination of work experience, training, military service, or education
    • 2+ years of experience working with Generative AI, large language models, or foundation models
    • 2+ years of experience with either GCP, Azure, Kubernetes, or OpenShift
    • 2+ years of experience with Python
    • 2+ years of experience with REST API development and containerization technologies such as Docker and Kubernetes
    • 2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows
    • UI path Certified
    • MS Power Platform Certified
    Desired Skills & Experience
    • Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments
    • Experience working in highly regulated industries such as financial services
    • Experience as a technical lead or architect, including mentoring senior engineers
    • Experience integrating or contributing to open source AI or ML projects
    • Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines
    • Strong communication and documentation skills to collaborate across engineering, product, and oversight teams
    • Experience with Power Platform, including Power Apps and Dataverse
    • Experience with UiPath or other enterprise automation tools
    • Experience with LLM development using OpenAI, Anthropic, or Google Gemini models
    • Experience with agentic frameworks and AI workflow orchestration
    • Experience designing applications that incorporate retrieval augmented generation, fine tuning, and structured prompting
    • Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate
    • Experience with LLM evaluation, observability, and monitoring including latency, cost, accuracy, grounding, drift detection, and safety assessments
    • Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI or CD pipelines for AI services
    • Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments
    • Experience optimizing AI application performance including prompt efficiency, model selection, caching, batching, and cost management

    What You Will Be Doing
    • Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
    • Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
    • Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
    • Strategically collaborate and consult with client personnel.
    • Lead moderately complex initiatives and deliverables within technical engineering environments
    • Contribute to large scale planning of strategies across Consumer Technology
    • Design, code, test, debug, and document applications and services including upgrades and deployments
    • Review technical challenges that require in depth evaluation of technologies, procedures, and engineering approaches
    • Resolve moderately complex issues while guiding teams to meet existing and emerging business needs
    • Collaborate with peers, colleagues, and mid level managers to resolve technical challenges and meet project goals
    • Lead projects and act as an escalation point, providing direction to less experienced engineers
    • Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies
    • Implement prompt engineering, retrieval augmented generation, fine tuning, and agentic design patterns
    • Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards
    • Troubleshoot complex application and model related issues and contribute to the continuous improvement of AI systems
    • Assist and mentor engineers in advanced software development and AI engineering practices
    • Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems

    Numbers & Facts

    LocationCHARLOTTE, NC

    Skills

    • Analysis Skillsunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Programming Languagesunmatched
    • Automationunmatched
    • Automation Engineeringunmatched
    • Cachingunmatched
    • Cloud Computingunmatched
    • Communication Skillsunmatched
    • Consultingunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Improvementunmatched
    • Continuous Integrationunmatched
    • Cost Controlunmatched
    • Cryptographyunmatched
    • Customer Satisfactionunmatched
    • Data Managementunmatched
    • Design Patterns Programming Methodologiesunmatched
    • Dockerunmatched
    • Documentationunmatched
    • Elasticsearchunmatched
    • Enterprise Data Integrationunmatched
    • Financeunmatched
    • Financial Servicesunmatched
    • GCP (Good Clinical Practices)unmatched
    • Gitunmatched
    • Hybrid Cloudunmatched
    • Identify Issuesunmatched
    • Identity Data Managementunmatched
    • Information/Data Security (InfoSec)unmatched
    • Mentoringunmatched
    • Microsoft Windows Azureunmatched
    • Modeling Languagesunmatched
    • Network Securityunmatched
    • Open Sourceunmatched
    • Performance Tuning/Optimizationunmatched
    • Problem Solving Skillsunmatched
    • Public Cloudunmatched
    • Python Programming/Scripting Languageunmatched
    • REST (Representational State Transfer)unmatched
    • Regulatory Complianceunmatched
    • Software Designunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Source Code/Configuration Management (SCM)unmatched
    • Strategic Planningunmatched
    • Team Playerunmatched
    • Technical Deliveryunmatched
    • Technical Leadershipunmatched
    • Technical Strategyunmatched
    • Technology Analysisunmatched
    • User Interface/Experience (UI/UX)unmatched

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