Job Description
We are on a mission to engineer the future. OmniStream Solutions is seeking a visionary Senior AI Architect to lead the development of next-generation artificial intelligence systems designed to revolutionize industries by 2026.
In this pivotal role, you will not just build models; you will architect the very infrastructure that powers the intelligent enterprises of tomorrow. You will bridge the gap between theoretical AI research and scalable production environments, ensuring our solutions are ethical, robust, and future-proof.
Why Join Us?
• Impactful Work: Shape the technological landscape for the year 2026 and beyond.
• Innovation-First Culture: Work with cutting-edge tools and methodologies in a collaborative environment.
• Competitive Compensation: Comprehensive benefits package including equity options and health coverage.
Responsibilities
- Architect Scalable AI Solutions: Design and implement robust machine learning pipelines and AI architectures capable of handling massive data throughput.
- Lead Technical Vision: Define the technical roadmap for AI initiatives, aligning them with the company’s long-term strategic goals for 2026.
- Model Optimization: Continuously refine algorithms for accuracy, latency, and cost-efficiency in real-world deployment scenarios.
- Cross-Functional Collaboration: Partner with data scientists, engineers, and product managers to integrate AI seamlessly into business workflows.
- Ethical AI Governance: Establish guidelines and frameworks to ensure AI models are fair, transparent, and compliant with emerging regulations.
- Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: 7+ years of professional experience in software engineering, with at least 3 years specifically focused on AI/ML architecture.
- Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
- System Design: Strong background in distributed systems, cloud architecture (AWS/Azure/GCP), and containerization technologies (Docker/Kubernetes).
- Problem Solving: Demonstrated ability to solve complex, unstructured problems and translate business requirements into technical solutions.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.