Job Description
Welcome to the future. Project 2026 Labs is at the forefront of defining the technological landscape for the coming decade. We are seeking a visionary Senior AI Architect to spearhead our next-generation artificial intelligence initiatives. In this role, you will not just use existing tools; you will help architect the very frameworks that will drive innovation through the year 2026 and beyond.
We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to turn ambitious concepts into scalable reality. Join a diverse team of engineers, ethicists, and strategists committed to building AI systems that are not only powerful but also responsible and transformative.
Why join us?
- Work on cutting-edge Generative AI and Predictive Analytics projects.
- Competitive compensation package and equity options.
- Flexible remote-first culture with quarterly in-person innovation sprints.
If you are ready to define the roadmap for the next era of technology, we want to hear from you.
Responsibilities
- Design and implement scalable machine learning pipelines and AI architectures for large-scale data processing.
- Lead the research and development of novel algorithms to solve complex business problems.
- Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to translate business requirements into technical solutions.
- Establish best practices for model training, evaluation, and deployment (MLOps).
- Ensure the ethical use of AI, addressing bias and transparency in model outputs.
- Mentor junior engineers and conduct technical code reviews to maintain high engineering standards.
- Stay abreast of the latest advancements in AI, NLP, and Computer Vision to drive innovation.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- 8+ years of professional experience in software engineering or machine learning, with at least 3 years in a senior leadership or architectural role.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven experience designing and deploying large-scale machine learning models in production environments.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Experience with AI governance frameworks and responsible AI principles.