Job Description
We are seeking a visionary Senior AI Strategy Architect to define the technological roadmap for the year 2026 and beyond. In this pivotal role, you will lead the integration of next-generation generative AI into our core infrastructure, bridging the gap between complex machine learning capabilities and strategic business objectives.
The Opportunity
At OmniStream, we are not just preparing for the future; we are building it. You will work in a dynamic, high-performance environment where innovation is the norm. If you are passionate about ethical AI, scalable architecture, and shaping the digital landscape of tomorrow, we want to hear from you.
Responsibilities
- Lead the 2026 Roadmap: Define and execute the strategic vision for AI integration, ensuring alignment with long-term business goals and market trends.
- Architect Scalable Solutions: Design and oversee the deployment of robust AI systems that can handle enterprise-level data processing and real-time inference.
- Cross-Functional Collaboration: Work closely with engineering, product, and design teams to translate technical requirements into user-centric AI features.
- Ethical AI Governance: Establish and enforce strict guidelines for data privacy, algorithmic bias, and responsible AI usage.
- Market Intelligence: Conduct deep-dive research on emerging AI technologies (LLMs, Computer Vision) to identify competitive advantages.
- Stakeholder Management: Present complex technical strategies to C-level executives and stakeholders with clarity and confidence.
Qualifications
- Experience: 10+ years of experience in Product Management, Technical Architecture, or Strategy within the AI/ML or Software industry.
- Technical Expertise: Deep understanding of Large Language Models (LLMs), neural networks, and modern cloud architecture (AWS/Azure/GCP).
- Strategic Mindset: Proven track record of defining product roadmaps and delivering high-impact technology solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical audiences and executive leadership.
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
- Leadership: Demonstrated experience leading diverse teams and fostering a culture of innovation and continuous improvement.