Job Description
The Opportunity:
Apex Horizon Technologies is pioneering the 2026 Initiative, a groundbreaking program aimed at defining the technological landscape of the next decade. We are seeking a visionary Senior AI Architect to lead the development of next-generation artificial intelligence systems that are not only scalable and robust but also ethically sound.
In this role, you will be at the forefront of the intersection between deep learning, quantum computing potential, and real-world application. You will build the infrastructures that will power our products in 2026 and beyond, working alongside a team of elite engineers and data scientists.
Why Join Us?
• Work on projects that define the future of technology.
• Competitive compensation package with equity options.
• Flexible remote-first culture with premium office amenities in the heart of SF.
Key Responsibilities:
- Architect and deploy state-of-the-art Large Language Models (LLMs) tailored for enterprise scalability.
- Lead the integration of edge computing solutions to enhance real-time data processing capabilities.
- Define the technical roadmap for the 2026 AI stack, ensuring compatibility with future hardware generations.
- Collaborate with cross-functional teams to translate complex business requirements into innovative technical solutions.
- Establish best practices for AI ethics, safety, and transparency within the organization.
- Mentor junior developers and conduct code reviews to maintain high engineering standards.
Qualifications:
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering with a focus on machine learning and AI.
- Deep proficiency in Python, TensorFlow, PyTorch, and Hugging Face.
- Experience with cloud platforms (AWS, Google Cloud, or Azure) and containerization (Docker, Kubernetes).
- Strong understanding of distributed systems and microservices architecture.
- Proven track record of leading technical teams through complex project lifecycles.
Responsibilities
- Architect and deploy state-of-the-art Large Language Models (LLMs) tailored for enterprise scalability.
- Lead the integration of edge computing solutions to enhance real-time data processing capabilities.
- Define the technical roadmap for the 2026 AI stack, ensuring compatibility with future hardware generations.
- Collaborate with cross-functional teams to translate complex business requirements into innovative technical solutions.
- Establish best practices for AI ethics, safety, and transparency within the organization.
- Mentor junior developers and conduct code reviews to maintain high engineering standards.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering with a focus on machine learning and AI.
- Deep proficiency in Python, TensorFlow, PyTorch, and Hugging Face.
- Experience with cloud platforms (AWS, Google Cloud, or Azure) and containerization (Docker, Kubernetes).
- Strong understanding of distributed systems and microservices architecture.
- Proven track record of leading technical teams through complex project lifecycles.