What are the responsibilities and job description for the AI Product Design and Architecture Lead position at Allnessjobs?
Title: AI Product Design and Architecture Lead
Summary:
The AI Product Design and Architecture Lead plays a critical role in merging technical expertise with design sensibilities to develop AI-powered products that are innovative, user-friendly, and impactful. This role requires a hands-on approach to AI/ML development and experience in architecting scalable solutions using advanced technologies, including generative AI and cloud-native microservices.
Key Responsibilities:
Technical Design & Architecture:
- Architect and implement scalable, cloud-native AI solutions utilizing microservices frameworks.
- Develop and deploy AI/ML models, ensuring their integration into practical and impactful product features.
- Design high-level technical architecture aligning with business goals and performance metrics.
- Ensure system reliability, scalability, and security through thoughtful technical design.
User-Centric Product Development:
- Leverage user research and data analysis to identify requirements, pain points, and opportunities for intuitive AI product design.
- Collaborate with design teams to create interfaces that make complex AI capabilities accessible and engaging.
- Continuously refine product designs based on performance data and user feedback.
Cross-Functional Leadership:
- Work closely with product managers, data scientists, and engineers throughout the product development lifecycle.
- Communicate design and technical decisions effectively to diverse stakeholders.
- Establish and nurture a culture of collaboration, innovation, and transparency within the team.
Technical Skills Required:
- AI/ML Expertise: Strong proficiency in developing AI/ML models, including familiarity with generative AI technologies.
- Cloud-Native Microservices: Experience in architecting large-scale cloud-based solutions using microservices frameworks.
- Programming Skills: Proficiency in programming languages such as Python, Java, or C , and frameworks like TensorFlow or PyTorch.
- System Integration: Capability to integrate AI systems into existing infrastructure seamlessly.
- Data Visualization: Ability to present data insights clearly, emphasizing storytelling through visualizations.
Leadership & Thought Leadership:
- Mentor and guide team members, fostering growth and innovation.
- Stay informed on industry trends and advancements in AI technology.
- Represent the product and its vision during internal discussions and external events.
Qualifications:
- Formal training or degree in computer science, design, or related fields.
- Proven experience leading cross-functional teams and delivering successful AI-powered products.
- Excellent communication and collaboration skills.
- A portfolio showcasing previous work in AI/ML product design and development.
Preferred Qualifications:
- Advanced knowledge of data visualization tools and techniques.
- Demonstrated ability to design and deliver intuitive user interfaces for complex AI applications.