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GenAI Solutions Architect

Lorven Technologies

 

Plainsboro, NJ, USA

Posted On: 2 days ago
Experience: 10+ years
Availability: Remote
Openings: 1
Category: GenAI Architect
Tenure: No Preference/Any
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Description

Architect and govern enterprise-grade GenAI solutions across the bank’s platform, ensuring secure, scalable, and compliant AI integration.

This role is remote.

Responsibilities

  • Design solution architectures, data flows, and model access patterns aligned with the enterprise AI platform and gateway standards.
  • Produce reference architectures, design patterns, and working examples for RAG applications, document processing, and agent-based workflows.
  • Review solution designs against governance requirements, driving remediation and ensuring all model access routes through the governed enterprise gateway.
  • Advise on model selection, prompt engineering, retrieval design, and guardrail patterns appropriate to each use case’s risk tier.
  • Enable application teams lacking AI delivery experience through hands-on guidance, architecture enablement materials, and knowledge transfer.

Required Skills

  • Minimum 10 years’ experience in solution or application architecture, including hands-on delivery of cloud-native applications.
  • Proven experience architecting GenAI/LLM solutions: model integration, RAG pipelines, prompt/context engineering, and agent patterns.
  • Strong Azure expertise: Azure OpenAI/AI services, API Management, Entra ID, Key Vault, networking, and landing-zone concepts.
  • Demonstrated ability to produce reference architectures and design documentation adopted by multiple teams.
  • Experience designing within security, risk, and compliance constraints in regulated environments.
  • Strong consulting skills with the ability to influence without authority and facilitate design workshops.
  • Experience partnering with cybersecurity on AI threat modeling and adversarial testing.

Preferred Skills

  • Financial services experience with familiarity in banking SDLC governance (design gates, architecture reviews).
  • Experience with AI gateway patterns: model allowlisting, entitlement-based access, and audit logging.
  • Familiarity with vector stores, evaluation harnesses, and MCP/tool-integration patterns.

Education

Any Graduate

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