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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Solutions Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Nexus Future Systems is at the forefront of the next industrial revolution. As we prepare to launch our flagship 2026 Autonomous Agent Platform, we are seeking a visionary AI Solutions Architect to define the technical backbone of our ecosystem.

In this pivotal role, you will bridge the gap between cutting-edge artificial intelligence research and scalable enterprise deployment. You will not just build systems; you will architect the future of how machines interact with human intent in the year 2026 and beyond. Join us in building the intelligence layer of tomorrow, today.

Responsibilities

  • Lead Architectural Design: Design and oversee the end-to-end architecture for the 2026 AI platform, ensuring scalability, security, and high performance.
  • Model Strategy: Define the roadmap for Large Language Model (LLM) integration, fine-tuning strategies, and retrieval-augmented generation (RAG) pipelines.
  • Technical Leadership: Mentor a team of data scientists and ML engineers, setting coding standards and architectural best practices.
  • Performance Optimization: Continuously optimize inference latency and model efficiency to handle millions of concurrent transactions.
  • Stakeholder Collaboration: Translate complex technical concepts into actionable insights for product managers and executive stakeholders.
  • Innovation: Research emerging AI paradigms relevant to the 2026 timeframe, such as agentic workflows and multimodal AI.

Qualifications

  • Experience: 7+ years of experience in software engineering with at least 3 years in AI/ML architecture and machine learning operations (MLOps).
  • Technical Stack: Deep proficiency in Python, PyTorch or TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • AI Expertise: Strong understanding of transformer architectures, vector databases, and prompt engineering methodologies.
  • Cloud Proficiency: Extensive experience deploying large-scale systems on AWS, Azure, or GCP.
  • Strategic Vision: Proven ability to define long-term technical roadmaps aligned with business objectives.
  • Communication: Exceptional verbal and written communication skills with the ability to present technical strategies to diverse audiences.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes MLOps System Design Machine Learning Large Language Models AI Architecture

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