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# Cognitive Implementation Engineer

- **Company:** Genesis10
- **Location:** Charlotte, NC, United States
- **Salary:** $121,285.0 - $137,925.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, Databases, Python (Programming Language), Messaging Application Programming Interface, Microsoft Office, Software Engineering, Systems Integration, Enterprise Software Applications, Chatbots, Large Language Models, Kubernetes, Programming Languages
- **Published:** August 21, 2026
- **Apply:** https://www.dice.com/job-detail/7cab722d-5e82-4656-b310-8288982ff28a

## About the Role

* Strong understanding of both software engineering and AI system design
 * Experience with programming languages such as Java or Python
 * Ability to connect multiple technologies including virtual assistants, orchestration platforms, LLMs, enterprise APIs, and AI agents into seamless user experiences
 * Proficiency with Microsoft Office Suite

## Description

Genesis10 is currently seeking a Cognitive Implementation Engineer for an onsite position with a Global Financial Institution located in Charlotte, NC, Pennington, NJ, or Plano, TX. This is a 12+ month contract opportunity.

The Cognitive Implementation Engineer is responsible for designing, developing, and implementing intelligent employee experiences that leverage conversational AI, Large Language Models (LLMs), agentic workflows, and enterprise integrations. This role combines traditional deterministic workflow development with emerging AI capabilities to deliver scalable, secure, and effective employee solutions. The ideal candidate can design and develop solutions that solve complex employee needs through a combination of structured business processes, AI-powered reasoning, and intelligent automation, connecting multiple technologies into seamless user experiences., * Collaborate with business partners, architects, engineers, and platform teams to define technical requirements and ensure optimal solution design

 * Design, develop, and deploy intelligent employee experiences leveraging conversational AI, virtual assistants, and generative AI capabilities
 * Build deterministic workflows, business process automations, and reusable orchestration components that can be leveraged across multiple domains
 * Design and implement agentic solutions that leverage Large Language Models, retrieval systems, tool calling, and autonomous task execution
 * Develop and maintain prompt frameworks, prompt libraries, and orchestration patterns to enable scalable AI capabilities
 * Integrate AI solutions with enterprise systems through APIs, databases, messaging frameworks, and knowledge repositories
 * Design and support Model Context Protocol (MCP) integrations that enable secure access to enterprise tools, data sources, and services
 * Evaluate business use cases and determine the most appropriate architecture leveraging deterministic workflows, LLM orchestration, AI agents, or hybrid approaches
 * Perform testing, validation, observability, and troubleshooting for both traditional workflow solutions and AI-based systems
 * Monitor, tune, and optimize AI solutions to improve quality, reliability, performance, and user experience
 * Ensure solutions adhere to enterprise AI governance, security, compliance, and risk management standards


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