Sr. Agentic AI​/Automation Engineer

$69.5 - $76.16

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

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: 6 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 Open Shift

+ 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

** 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

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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, Open Search, 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*
* + 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

+ 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…