Job Description
We are pioneering the future of intelligent automation and are seeking a visionary Senior AI Architect to define our technology roadmap for 2026. In this pivotal role, you will bridge the gap between theoretical AI advancements and scalable production systems, leading a team of engineers in building the next generation of autonomous agents and generative AI solutions. If you are passionate about shaping the technological landscape of tomorrow, this is your opportunity to lead at the intersection of innovation and execution.
Why Join Us?
- Work on cutting-edge technologies expected to dominate the 2026 market.
- Competitive equity package and performance bonuses.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to publish research and speak at global tech conferences.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of robust, scalable AI infrastructure capable of handling high-throughput data streams for 2026-scale applications.
- Model Development: Lead the research and deployment of advanced Generative AI and Large Language Model (LLM) applications, focusing on prompt engineering and fine-tuning.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence within the AI division.
- Strategic Roadmapping: Translate business goals into technical strategies, ensuring our AI capabilities remain ahead of industry trends.
- System Optimization: Drive initiatives to reduce latency and improve the efficiency of inference pipelines using edge computing and model quantization.
- Cross-Functional Collaboration: Partner with product managers and designers to integrate AI solutions seamlessly into the user experience.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related field (or equivalent professional experience).
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or senior architectural role.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, or JAX. Experience with LangChain and vector databases (Pinecone, Milvus).
- AI Expertise: Deep understanding of NLP, Computer Vision, or Reinforcement Learning. Experience deploying models via Kubernetes and cloud platforms (AWS/GCP/Azure).
- Problem Solving: Proven track record of solving complex, unstructured problems using data-driven methodologies.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.