AIML/GEN AI Architect

ACL Digital

Bengaluru

Híbrido

INR 3.000.000 - 6.000.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

ACL Digital is seeking a GenAI Solution Architect with 10+ years in software architecture and 5+ years in production-grade GenAI/LLM solutions. The role is hybrid and targets candidates with a data science/analytics background.

You will own end-to-end LLM integration, RAG, and multi-agent orchestration in an enterprise setting. Responsibilities include designing tool-calling frameworks, agent workflows, governance, security, and scalable AI infrastructure to support real-time workloads.

Formación

  • 10+ years in software architecture and distributed systems.
  • 5+ years architecting production-grade GenAI/LLM solutions.
  • Familiarity with LLM observability tools like Langfuse and Azure AI Evaluation.

Responsabilidades

  • Architect Enterprise AI: end-to-end design of LLM integration, advanced RAG, and multi-agent orchestration.
  • Design tool-calling frameworks, agent workflows, and Microsoft-aligned enterprise architectures.
  • Governance & Security: ensure audit compliance, enterprise security, and robust evaluation loops.
  • Data & AI Infrastructure: build scalable data pipelines and backend structures for real-time AI workloads.

Herramientas

Langfuse
Azure AI Evaluation

Descripción del empleo

Hiring: GenAI Solution Architect (10+ Years)

Experience: 10+ Years (5+ years in production grade projects of Gen AI/LLMs)

Work Mode: Hybrid

Looking for someone who can join us in 0-15Days max
Strong preference for candidates coming from a Data Science/Analytics background.
Key Responsibilities
  • Architect Enterprise AI: Own the end-to-end design of LLM integration, advanced RAG, and multi-agent orchestration.
  • Agentic Systems: Design tool-calling frameworks, agent workflows, and Microsoft-aligned enterprise architectures.
  • Governance & Security: Ensure full audit compliance, enterprise security, and robust evaluation loops.
  • Data & AI Infrastructure: Build scalable data pipelines and backend structures to support real-time AI workloads.
Who We Are Looking For
  • Experience: 10+ years in software architecture/distributed systems + 5+ years architecting production-grade GenAI/LLM solutions.
  • Tooling: Familiarity with LLM observability and evaluation tools (e.g., Langfuse, Azure AI Evaluation)
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