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Forward Deployed Engineer, Agentic AI
Location
South Korea
Posted
1 day ago
Salary
0
Seniority
Lead
Job Description
Forward Deployed Engineer, Agentic AI
Rimini Street
• Embed with enterprise clients to design, build and operationalize agentic AI solutions • Build production outcomes for clients and integrate agentic systems with enterprise platforms • Lead technical discovery, scope agentic AI use cases, and translate business problems into engineering deliverables • Design target architectures that fit the client's environment, regulatory posture and platform preferences • Write production-grade code and work inside the client's source control, CI/CD, and deployment infrastructure • Build and tune retrieval pipelines and implement enterprise-safe agent tool execution • Build evaluation suites that catch hallucinations, regressions, grounding gaps and quality drift • Stay engaged through cutover and the first production iteration cycle • Act as an escalation backup to the support team after handover • Build trusted advisor relationships with client engineering, data, security and business stakeholders
Job Requirements
- 8+ years of professional engineering experience across production systems
- 2+ years shipping AI or machine learning systems into production
- Proven track record working directly with Fortune 500 or Global 2000 enterprise clients
- Track record of operating across the full lifecycle of a system
- Demonstrated ability to learn fast and ship in emerging technical disciplines
- ERP and enterprise systems experience across SAP, Oracle E-Business Suite, JD Edwards, Infor, ServiceNow, Salesforce, Workday or other systems of record
- Direct SAP and Oracle EBS experience highly valued
- Experience with multiple-agent AI platforms
- Prior experience as a Forward Deployed Engineer, Applied AI Engineer or equivalent embedded delivery role
- Production Python and at least one additional enterprise or full-stack language
- SQL and data modelling fluency
- Hands-on retrieval-augmented generation
- Evaluation suite design for LLM-based systems
- Production observability for AI systems
- Working knowledge of at least one major agentic AI platform
- Agent tool execution and governance
- Enterprise integration fundamentals
- UI and front-end fluency in modern web frameworks
- Durable execution frameworks, event-driven architectures or workflow orchestration at enterprise scale
- Exceptional written and verbal communication across technical and executive audiences
- High autonomy, resilience and pragmatism in legacy and politically complex environments
Benefits
- Compensation, bonuses, and benefits for top-performing team members
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