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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Lead: AI & Automation Architect

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Innovations is seeking a visionary Future Tech Lead to spearhead our next-generation AI and automation initiatives. In this role, you will bridge the gap between theoretical AI research and scalable production engineering, ensuring our platforms remain at the forefront of innovation.

We are not just building software; we are architecting the future. You will lead a high-performance team in designing robust machine learning pipelines and autonomous systems that will power our clients' operations for the decade to come. If you thrive in a fast-paced, forward-thinking environment and possess a deep understanding of cutting-edge technologies, we want to meet you.

Responsibilities

  • Architect and deploy scalable machine learning models and AI systems tailored for 2026 and beyond.
  • Lead the research and development of next-gen automation solutions, focusing on efficiency and scalability.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product offerings.
  • Mentor and guide junior engineers, fostering a culture of innovation and continuous learning.
  • Define technical roadmaps and ensure best practices in cloud infrastructure and data security.
  • Optimize existing algorithms to handle high-volume data streams in real-time environments.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7+ years of experience in software engineering, with at least 3 years in a Lead or Architect role.
  • Proficiency in programming languages such as Python, TensorFlow, PyTorch, or Java.
  • Deep understanding of machine learning algorithms, natural language processing (NLP), and computer vision.
  • Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
  • Strong problem-solving skills and the ability to translate complex business requirements into technical solutions.

Required Skills

Python TensorFlow PyTorch AWS Azure GCP Docker Kubernetes Machine Learning AI Architecture NLP Cloud Computing Agile Data Engineering

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