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Senior Agentic AI Architect (2026 Specialization)

FutureCore Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are building the operating system for the next era of human-machine collaboration. As a Senior Agentic AI Architect (2026 Specialization), you will lead the research and development of autonomous AI agents capable of complex reasoning, self-correction, and multi-step planning. If you are passionate about the future of AI and want to define the standards for 2026 and beyond, join our elite engineering team.

Why FutureCore?

  • Work on cutting-edge Agentic AI frameworks.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture.

Responsibilities

  • Design and architect scalable, autonomous AI agents for enterprise automation and decision support systems.
  • Develop novel algorithms for LLM chain-of-thought reasoning and memory management.
  • Lead the integration of multimodal data streams (text, vision, audio) into unified agent workflows.
  • Collaborate with product managers to translate complex 2026 roadmaps into technical specifications.
  • Mentor junior engineers and conduct code reviews to ensure architectural integrity.
  • Evaluate and implement emerging AI hardware accelerators (e.g., Quantum-Ready APIs).

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of experience in software engineering with a focus on Machine Learning and NLP.
  • Deep expertise in building and deploying LLMs using frameworks like PyTorch, TensorFlow, or LangChain.
  • Strong understanding of agent-based architectures, tool-use patterns, and prompt engineering strategies.
  • Experience with vector databases and RAG (Retrieval-Augmented Generation) pipelines.
  • Ability to thrive in a fast-paced, ambiguous, and innovative environment.

Required Skills

Python PyTorch TensorFlow NLP Large Language Models Agentic AI LangChain Vector Databases RAG System Design Machine Learning Engineering

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