Information Security Engineer 4 - AI Engineer

Responsibilities:

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  Design and deliver end-to-end automation and AI agent solutions using Copilot Studio, and pro-code technologies.
  
  
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  Build agentic AI systems leveraging LLMs, reasoning engines, memory components, and orchestration frameworks such as LangChain, Semantic Kernel, or Azure AI Foundry.
  
  
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  Develop custom AI agents capable of planning, reasoning, and interacting across systems via APIs, tools, and multi-turn conversations.
  
  
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  Create and maintain AI-powered business applications that integrate user input, enterprise data, and intelligent responses to enhance productivity and decision-making.
  
  
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  Integrate with external APIs and services, including RESTful endpoints, and hyperscale AI platforms (Azure, AWS, GCP).
  
  
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  Partner with stakeholders to identify opportunities, gather requirements, and deliver solutions aligned with strategic objectives.
  
  
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  Stay up to date on advancements in generative AI, LLMs, and prompt engineering to drive innovation and recommend modern approaches.
  
  
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  Drive team modernization. Build and transfer knowledge. Create reusable playbooks and processes to embed transformed capabilities across the team. Assist other individuals in advanced software development.
  
  

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline.
• Minimum of 4 years of experience in AI solution development, including automation, chatbots, or AI agents.
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  Proficiency with Power Platform, including Power Apps, Power Automate, Power BI and Copilot Studio (or Power Virtual Agents).
  
  
• Practical experience with LLM technologies (e.g., OpenAI, Azure OpenAI Service, or equivalents).
• Experience integrating REST APIs and external data sources into applications.
• Strong understanding of prompt engineering, NLP, and the capabilities and limitations of LLMs.
• Financial services experience specifically big banks.

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  Power Platform Developer Associate or equivalent certification.
  
  
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  Experience with hyperscaler AI services like Azure Cognitive Services, AWS Bedrock, or Vertex AI.
  
  
• Familiarity with open-source AI frameworks such as Hugging Face Transformers, LangChain, or FastAPI.
• Knowledge of DevOps practices, CI/CD pipelines, and version control in both low-code and pro-code environments.
• Exposure to Retrieval-Augmented Generation (RAG) or memory-enabled agent architectures.

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.