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Urgent! Gen AI Architect Job Opening In Fremont – Now Hiring Simarn Solutions



Job description

Job Title: Gen AI Architect 

Location: Fremont, CA (Onsite)
Job Type: C2C
Remote: No

Job Summary

We are seeking an experienced Senior Technical Lead / Gen AI Architect with strong expertise in Langfuse v3, Azure AI services, and GenAI lifecycle management.

The role will involve architecting, implementing, and optimizing advanced GenAI evaluation frameworks, ensuring enterprise-grade reliability, scalability, and observability for AI-driven solutions.

Key Responsibilities
  • Provide technical leadership to development teams, ensuring best practices, coding standards, and performance optimization in complex GenAI projects.
  • Architect and deploy Langfuse v3 in production environments, including upgrades from Langfuse v2 with backward compatibility.
  • Design and build modular components for prompt management, tracing, metrics, evaluation, and playground features using Langfuse v3.
  • Leverage Langfuse capabilities for:

    • Prompt Management versioning, templating, optimization
    • Tracing end-to-end visibility of GenAI workflows

    • Metrics performance, latency, and usage analytics

    • Evaluation automated/manual scoring of outputs

    • Playground interactive prompt testing/debugging

  • Integrate Azure AI Evaluation SDK into enterprise pipelines for scalable evaluation of GenAI models.
  • Build reusable components and templates for evaluation across diverse RAG, multi-agent, and GenAI lifecycle workflows.
  • Ensure scalability, observability, and traceability of evaluation frameworks in both offline and online environments.
  • Collaborate with cross-functional teams (product, data science, and engineering) to align evaluation metrics with business KPIs.
  • Conduct feasibility studies, recommend technical alternatives, and ensure compliance with architecture best practices.
  • Stay current with emerging GenAI evaluation tools and methodologies (e.g., TruLens, W&B, Helicone).
Required Skills & Qualifications
  • Hands-on expertise in Langfuse (including v3 features) and integrations.
  • Proficiency with Azure AI Services and Azure AI Evaluation SDK.
  • Strong understanding of LLMOps, prompt engineering, and GenAI lifecycle management.
  • Experience with Retrieval-Augmented Generation (RAG), fine-tuning, and multi-agent orchestration.
  • Proficiency in Python (TypeScript or other GenAI-related languages is a plus).
  • Experience with cloud-native architectures (Azure preferred).
  • Familiarity with observability tools, tracing frameworks, and evaluation metrics for GenAI systems.
  • Excellent communication, documentation, and stakeholder collaboration skills.
Nice to Have
  • Experience with additional observability tools such as TruLens, Weights & Biases (W&B), Helicone.
  • Exposure to evaluation standards for enterprise AI adoption.
  • Knowledge of multi-cloud and hybrid deployment strategies.


Required Skill Profession

Computer And Mathematical



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