Job Description
Are you ready to architect the next generation of artificial intelligence? OmniStream Technologies is seeking a visionary Senior AI Architect to lead our groundbreaking 2026 strategic initiative. In this pivotal role, you will define the technical roadmap for our next-generation Generative AI platforms, bridging the gap between cutting-edge research and scalable production deployment.
We are looking for a leader who thrives in ambiguity and possesses an insatiable curiosity about the future of technology. You will be responsible for designing robust systems that not only meet today's demands but are resilient enough to shape the landscape of 2026 and beyond.
Why Join Us?
- Work on projects that define the future of Human-Computer Interaction.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art office amenities.
Responsibilities
- Architect & Deploy: Design, implement, and maintain scalable machine learning infrastructure and Generative AI pipelines using Python, PyTorch, and TensorFlow.
- Research Integration: Translate theoretical research papers into practical, production-ready code and systems.
- Model Optimization: Fine-tune Large Language Models (LLMs) and Vision Transformers to ensure high performance, low latency, and cost efficiency.
- Team Leadership: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Collaboration: Partner with product managers and stakeholders to define technical requirements and deliver high-impact features.
- Ethical AI: Ensure all AI systems adhere to strict ethical guidelines and safety protocols regarding bias and data privacy.
Qualifications
- Experience: 5+ years of professional experience in software engineering, with at least 3 years specifically focused on AI/ML architecture.
- Technical Skills: Proficiency in Python, C++, and SQL. Deep understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- AI Expertise: Strong background in NLP, Computer Vision, or Reinforcement Learning. Hands-on experience with LLM fine-tuning (LoRA, QLoRA) and RAG architectures.
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Soft Skills: Exceptional problem-solving abilities and excellent communication skills to bridge the gap between technical and non-technical teams.
- Passion: Demonstrated interest in the future of AI and emerging technologies.