Forward Deployed Engineer – Agentic AI
Company: Resiliency LLC
Location: Atlanta, GA (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-08-09
About this role
Remote – United States
Salary: $200,000 – $250,000 + Bonus
Why This Role?
- Fully remote opportunity
- Work on enterprise-scale GenAI and Agentic AI initiatives
- Exposure to Fortune 2000 AI transformation programs
- High visibility with executive stakeholders and enterprise clients
- Strong compensation package with bonus eligibility
- Medical, dental, vision, 401(k) match, paid parental leave, PTO, and disability coverage
About The Role
Seeking a Forward Deployed Engineer to help enterprise clients design, prototype, and scale GenAI and Agentic AI solutions. This role sits at the intersection of engineering, solution architecture, and executive-facing consulting.
You will work directly with senior business leaders and technical teams to rapidly build proof-of-value solutions, architect scalable AI systems, and accelerate enterprise AI adoption across complex environments.
This is a highly hands-on role focused on shipping real AI systems, not presentations.
Responsibilities
- Partner with enterprise stakeholders to identify AI opportunities and define measurable business outcomes
- Build rapid proof-of-value and MVP AI solutions using modern GenAI and agentic frameworks
- Design scalable AI architectures including orchestration, governance, observability, and security controls
- Develop AI workflows with tool integrations, enterprise data connectivity, and lightweight user experiences
- Implement RAG architectures, vector search, retrieval strategies, and evaluation frameworks
- Integrate AI solutions with enterprise platforms including AWS, Azure, GCP, Salesforce, SAP, ServiceNow, and Microsoft ecosystems
- Support technical discovery sessions, workshops, demos, and executive presentations
- Create reusable AI accelerators, templates, evaluation suites, and reference architectures
- Collaborate with engineering, cloud, product, and delivery teams to transition solutions into production environments
Requirements
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