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Information Technology 🏢 Full Time ⭐️ Verified

Senior Architect: 2026 Roadmap Initiative

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Senior Architect (2026 Roadmap) to drive the technological evolution of our enterprise solutions. In this pivotal role, you will bridge the gap between today's capabilities and the future of intelligent automation. You will be responsible for defining the technical strategy that will power our products through the 2026 horizon, integrating cutting-edge AI and scalable cloud infrastructure.

As a key member of our leadership team, you will influence the architectural direction of high-stakes projects, ensuring our systems are resilient, scalable, and future-ready.

Responsibilities

  • Define and execute the technical roadmap for the '2026 Initiative,' focusing on next-generation AI integration and predictive analytics.
  • Design and oversee the implementation of scalable microservices architecture to support global expansion.
  • Collaborate with cross-functional teams (Product, Engineering, and Design) to translate business requirements into robust technical solutions.
  • Mentor junior and mid-level architects, fostering a culture of continuous learning and technical excellence.
  • Evaluate emerging technologies (e.g., Quantum Computing, Edge AI) and assess their feasibility for integration into our ecosystem.
  • Ensure enterprise-wide compliance with security standards, data privacy regulations, and architectural best practices.
  • Lead architectural reviews and code audits to maintain high-quality standards across all development squads.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in a senior leadership role.
  • Proven expertise in Python, Go, or Java, with deep knowledge of distributed systems and cloud-native technologies (AWS, Azure, or GCP).
  • Strong background in Machine Learning pipelines, Neural Networks, and large-scale data processing frameworks (Spark, Kafka).
  • Experience designing solutions for high availability, fault tolerance, and low-latency environments.
  • Master's degree in Computer Science, Engineering, or a related technical field is preferred.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Demonstrated ability to work in fast-paced, agile environments.

Required Skills

Python Go Distributed Systems Cloud Architecture Machine Learning AWS System Design AI/ML Strategy Agile Methodologies

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