What are the responsibilities and job description for the Sr. Agentic AI/Automation Engineer position at Motion Recruitment?
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
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 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
- 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
- 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 requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
- Strategically collaborate and consult with client personnel.