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# Forward Deployed Engineer

- **Company:** Spectraforce
- **Location:** Charlotte, NC, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Layers, Microsoft Azure, Software Deployment, Systems Integration, Large Language Models, Multi-Agent Systems, Backend, Data Layers, Kubernetes, Front End Software Development, Software Coding, Data Pipelines
- **Published:** August 14, 2026
- **Apply:** http://leoforce.us/Careers/Spectraforce/JobDetails.html?jobid=62484dbb-76ec-4a4b-9444-9c40bb64dffe&OrgId=1&UserId=6585

## About the Role

* Strong full-stack software engineering background (front-end, back-end, APIs, data layer) with hands-on coding ability - this is a builder role, not an advisory one.
 * Direct, hands-on experience building AI agents or agentic workflows (e.g., using LLM orchestration frameworks, tool-calling/function-calling, RAG pipelines, or multi-agent systems).
 * Demonstrated ability to independently identify business opportunities for AI/agentic involvement - not just execute a pre-defined technical spec.
 * Comfort working directly with business stakeholders to scope ambiguous problems and translate them into working solutions.
 * Experience with cloud platforms (AWS/Azure/GCP) and modern data/AI tooling.
 * Strong communication skills - able to explain agentic AI concepts, tradeoffs, and limitations to non-technical business partners.
 * Comfort with fast iteration cycles and evolving requirements typical of emerging-technology initiatives.
 * Prior experience in a Forward Deployed Engineer, Applied AI Engineer, or Solutions Engineer role.
 * Experience with agent frameworks/tooling such as LangChain, LangGraph, AutoGen, Semantic Kernel, or similar.
 * Domain knowledge in Wealth Management, Retirement Services, or broader financial services.
 * Experience with enterprise AI governance, model risk, or responsible AI practices in a regulated industry.
 * Prior startup, consulting, or client-facing delivery experience.

## Description

* Partner with business stakeholders across Prosperity to understand workflows and pain points, and proactively identify areas where agentic AI can drive meaningful improvement.
 * Design, build, and deploy AI agents that automate or augment business processes - from initial concept through production deployment.
 * Work full-stack: build the agent logic/orchestration as well as the surrounding application layer, integrations, APIs, and data pipelines needed to make an agent usable in a real workflow.
 * Rapidly prototype agentic solutions, validate them with business users, and iterate quickly based on feedback.
 * Evaluate and select appropriate agent frameworks, tooling, and LLM/model choices for each use case.
 * Partner with platform/architecture teams to ensure agents are secure, scalable, auditable, and aligned with enterprise AI governance standards.
 * Own technical delivery of assigned use cases end-to-end - discovery, build, deployment, and post-launch monitoring/tuning.
 * Act as a trusted technical voice for agentic AI within Prosperity, educating business partners on realistic capabilities and limitations.
 * Identify patterns across use cases and feed reusable agent components/frameworks back to the broader engineering organization.


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