Software Engineer - AI Concepts

CHARLOTTE, NC, US • Posted 1 hour ago • Updated 1 hour ago
Contract W2
On-site
$69.5 - $76.16/hr
Fitment

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Job Details

Skills

  • Financial Services
  • Training
  • Military
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud
  • Cloud Computing
  • Python
  • Software Development Methodology
  • DevOps
  • Finance
  • Test-driven Development
  • Cyber Security
  • Workflow
  • User Experience
  • Generative Artificial Intelligence (AI)
  • Software Engineering
  • Evaluation
  • Regulatory Compliance
  • Collaboration
  • Use Cases
  • Artificial Intelligence
  • FOCUS
  • LangChain
  • Machine Learning Operations (ML Ops)
  • Banking
  • Functional Requirements
  • Mainframe
  • .NET
  • Java
  • Migration
  • Software Development
  • Technical Direction
  • Scalability
  • Management
  • Roadmaps

Summary

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Software Engineer in Charlotte, NC (Hybrid).

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.
  • 2+ years of strong understanding of multi-cloud environments (Azure, Google Cloud Platform, OpenShift) and hands-on experience with cloud-native development and/or Cloud migration of applications
  • 1+ years knowledge of retrieval-augmented generation (RAG) and/or agentic workflows in generative AI
  • Applications
  • 5-10 years of engineering experience (could be Java Engineers who transitioned to Python)
  • 2+ years of Python engineering
  • AI concepts (know frameworks for building agents, tech agnostic)
  • SDLC
Desired Skills & Experience
  • Proficiency in DevOps tools and practices, including infrastructure as code.
  • Strong experience collaborating with product and business stakeholders to deliver valuable and user-centric solutions.
  • Financial industry experience or familiarity with regulatory and compliance requirements.
  • Demonstrated ability to balance technical excellence with business priorities.
  • Expertise in test-driven development methodologies.
  • Cybersecurity and Risk Mindset: proactively identifies risks and integrates secure practices into development workflows.
  • End-user experience focused: delivers intuitive, valuable solutions that align with employee needs.
  • Mission-aligned: shares Client's vision of transforming the employee experience through generative AI

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.
  • Accelerate business use cases via Agentic AI with focus on using frameworks like Agent Development Kit (ADK) and LangChain.
  • Have strong background in MLOps and LLMOps.
  • Ensure adherence to the Banking Platform Architecture and meeting non-functional requirements with each release.
  • Engage with architects and experienced engineers to incorporate Client's technical strategies, while understanding next generation domain architectures to enable application migration paths to target architecture. For example, Mainframe to Java migration; or .Net and Java version migration.
  • Identify and recommend opportunities for driving resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards.
  • Conduct peer reviews to evaluate quality and solution alignment to technical direction.
  • Interpret, develop, and ensure security, stability, and scalability within functions of technology with low to moderate complexity, as well as identify, manage and mitigate technology and enterprise risk.
  • Influence technology requirements and priorities in the product roadmaps.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 878710
  • Posted 1 hour ago
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