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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Solutions Architect

Nexus Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Join Nexus Technologies at the forefront of innovation as we build the technological landscape for 2026. We're seeking a visionary 2026 AI Solutions Architect to design and implement next-generation artificial intelligence systems that will redefine industries. This role combines cutting-edge research with practical deployment, offering unparalleled impact in shaping our digital future.

As a key member of our Future Technologies Division, you'll architect AI solutions that anticipate and solve emerging challenges, working with industry leaders to transform ambitious concepts into reality. Our Austin hub offers a dynamic environment where innovation thrives, and your contributions will directly influence the technological trajectory of the coming decade.

Responsibilities

  • Design scalable AI architectures for 2026-era applications, focusing on autonomous systems and predictive analytics
  • Lead cross-functional teams in implementing next-gen machine learning pipelines and neural networks
  • Develop strategic roadmaps for AI integration across enterprise systems and client solutions
  • Research and evaluate emerging AI paradigms including quantum machine learning and neuromorphic computing
  • Collaborate with product teams to define AI-driven features for next-generation platforms
  • Establish governance frameworks for ethical AI deployment and responsible innovation
  • Present technical blueprints and innovation strategies to C-suite executives and key stakeholders

Qualifications

  • Master's degree in Computer Science, AI, or related field; PhD preferred
  • 10+ years of experience in AI architecture with 5+ years in leadership roles
  • Expertise in transformer architectures, federated learning, and MLOps deployment
  • Proven track record of building production-grade AI systems at scale
  • Deep understanding of ethical AI frameworks and responsible innovation practices
  • Strong background in cloud-native AI deployment (AWS/Azure/GCP)
  • Exceptional strategic thinking with ability to translate technical vision into business impact
  • Published research in AI/ML or equivalent industry recognition

Required Skills

AI Architecture Machine Learning Neural Networks Quantum Computing MLOps Strategic Planning Cloud AI Ethical AI Predictive Analytics

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