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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Orchestration Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 210.000 – USD 320.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Are you ready to define the infrastructure of tomorrow? Nexus Future Systems is seeking a visionary 2026 AI Orchestration Architect to lead the deployment of autonomous, multi-agent AI ecosystems.

As we approach the era of true artificial general intelligence, the ability to orchestrate complex AI agents seamlessly is our most critical asset. You will build the 'operating system' for AI, ensuring that LLMs, vector databases, and external tools communicate with zero latency and maximum security. This is not just a job; it is a mission to accelerate the singularity.

Why Join Us?

  • Work on the cutting edge of Generative AI and Agentic workflows.
  • Competitive equity package and top-tier benefits.
  • Flexible remote-first culture with a focus on high-impact output.

Responsibilities

  • Architect and implement scalable Agent Orchestration frameworks using LangChain and AutoGen.
  • Design robust LLM pipeline architectures to optimize inference costs and latency.
  • Establish RAG (Retrieval-Augmented Generation) strategies for enterprise data security.
  • Collaborate with cross-functional teams to integrate AI agents into legacy software ecosystems.
  • Implement strict Guardrails and safety protocols to prevent hallucinations and ensure compliance.
  • Mentor junior engineers in the latest AI engineering best practices.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of experience in Software Engineering with a strong focus on Python and cloud infrastructure.
  • Proven expertise in Large Language Model (LLM) fine-tuning and prompt engineering.
  • Deep understanding of vector databases (Pinecone, Milvus) and semantic search.
  • Experience with containerization (Docker/Kubernetes) and serverless architecture.
  • Familiarity with AI ethics, bias mitigation, and responsible AI deployment.

Required Skills

Python LangChain LLM AI Orchestration RAG Vector Databases Docker Kubernetes AWS Machine Learning

Ready to Take This Challenge?

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