Senior AI/ML Architect, Applied Field Engineering/Field CTO - Sydney, Australia

Role Overview

As a Senior AI/ML Architect within Snowflake's Applied Field Engineering/Field CTO team in Sydney, Australia, you will be at the forefront of enabling enterprises to leverage the power of AI and Machine Learning through the Snowflake AI Data Cloud. This role is critical in driving the adoption of Snowflake's AI/ML solutions across the Asia Pacific and Japan (APJ) region by providing hands-on expertise and support to technical decision-makers and data scientists. Your primary focus will be on designing and architecting innovative AI solutions that address complex business challenges, ultimately empowering Snowflake's customers to achieve their full potential.

Day in the Life

A typical day for a Senior AI/ML Architect at Snowflake involves a diverse range of activities, including:

• Technical Consultation: Engaging with customers to understand their AI/ML needs and providing expert guidance on leveraging Snowflake's AI Data Cloud capabilities.
• Solution Architecture: Designing and architecting end-to-end AI/ML solutions that align with customer requirements and integrate seamlessly with their existing infrastructure.
• Proof of Concept (POC) Development: Collaborating with account teams and customer champions to develop and execute POCs that demonstrate the value of Snowflake's AI/ML capabilities.
• Technical Presentations: Delivering compelling presentations and demonstrations to both technical and executive audiences, showcasing the benefits of Snowflake's AI/ML solutions.
• Content Creation: Developing technical content, such as blog posts, presentations, and demos, to educate and enable the broader Snowflake team and customer base.
• Product Feedback: Collaborating with Snowflake's product and engineering teams to provide valuable customer feedback and influence the roadmap for future AI/ML features and enhancements.
• Travel: Traveling within the APJ region to meet with customers, attend industry events, and support sales and marketing initiatives (as needed).

Why Sydney, Australia?

Sydney is a vibrant and dynamic city that offers a unique blend of career opportunities, cultural experiences, and natural beauty. As a hub for technology and innovation in the Asia Pacific region, Sydney provides access to a thriving ecosystem of startups, established enterprises, and research institutions. The city's diverse population, world-class infrastructure, and high quality of life make it an attractive destination for professionals seeking to advance their careers and enjoy a fulfilling lifestyle.

Career Path

The Senior AI/ML Architect role at Snowflake offers a clear path for career growth and advancement within the organization. Depending on your interests and skills, you can potentially progress to roles such as:

• Principal AI/ML Architect: Lead a team of AI/ML architects and provide technical leadership on strategic projects.
• Field CTO: Serve as a trusted advisor to Snowflake's largest and most strategic customers, helping them to define their AI/ML vision and roadmap.
• Product Manager: Transition to a product management role and help to shape the future of Snowflake's AI Data Cloud.
• Sales Engineering Manager: Lead a team of solution engineers and drive the adoption of Snowflake's AI/ML solutions across a specific region or industry.

Salary & Benefits

While the specific salary and benefits for this role are not disclosed in the provided job description, Snowflake typically offers a competitive compensation package that includes:

• Competitive Base Salary: A salary commensurate with your experience and skills.
• Performance-Based Bonus: An opportunity to earn a bonus based on your individual and team performance.
• Stock Options: Equity in Snowflake, allowing you to share in the company's success.
• Comprehensive Benefits: A comprehensive benefits package that includes health insurance, paid time off, retirement savings plan, and other perks.

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information.

Innovation Culture

Snowflake is committed to fostering a culture of innovation, collaboration, and impact. The company encourages employees to challenge ordinary thinking, push the pace of innovation, and build a future for themselves and Snowflake. As a Senior AI/ML Architect, you will have the opportunity to work on cutting-edge technologies, collaborate with talented colleagues, and make a significant impact on the company's success.

How to Apply

Interested candidates are encouraged to apply for the Senior AI/ML Architect position through the Snowflake Careers website. The application process typically involves submitting a resume and cover letter, completing an online assessment, and participating in a series of interviews with hiring managers and team members.

FAQ

1. What is the Snowflake AI Data Cloud?

   The Snowflake AI Data Cloud is a unified platform that enables organizations to store, process, and analyze all their data in a single, secure, and scalable environment. It provides a comprehensive set of tools and services for building and deploying AI/ML applications, including data integration, data preparation, feature engineering, model training, and model deployment.

2. What are the key technologies used in this role?

   The key technologies used in this role include Python, LangChain, pandas, scikit-learn (sklearn), PyTorch, dbt, Airflow, Spark, LLM ecosystem tools like LlamaIndex, and cloud platforms like AWS, Microsoft Azure, and GCP.

3. What are the main challenges in this role?

   The main challenges in this role include keeping up with the rapidly evolving landscape of AI/ML technologies, effectively communicating complex technical concepts to both technical and executive audiences, and driving the adoption of Snowflake's AI/ML solutions across a diverse range of customers and industries.

4. What are the key performance indicators (KPIs) for this role?

   The key performance indicators (KPIs) for this role may include the number of POCs successfully completed, the number of new AI/ML use cases adopted by customers, customer satisfaction with Snowflake's AI/ML solutions, and the overall growth of Snowflake's AI/ML business in the APJ region.

5. What is the work-life balance like at Snowflake?

   Snowflake is committed to providing a supportive and flexible work environment that allows employees to balance their professional and personal lives. The company offers a variety of benefits and programs to support employee well-being, including flexible work arrangements, paid time off, and wellness resources.

6. What is the interview process like?

   The interview process typically involves an initial screening call with a recruiter, followed by several rounds of interviews with hiring managers, team members, and potentially a member of the executive team. The interviews may cover technical skills, experience, and cultural fit.

7. What opportunities are there for professional development?

   Snowflake offers a variety of opportunities for professional development, including training programs, conferences, and mentorship opportunities. The company also encourages employees to pursue certifications and other professional credentials.

8. How does Snowflake support diversity and inclusion?

   Snowflake is committed to creating a diverse and inclusive workplace where all employees feel valued and respected. The company has a variety of initiatives in place to promote diversity and inclusion, including employee resource groups, unconscious bias training, and inclusive hiring practices.

9. What are the main benefits of working at Snowflake?

   The main benefits of working at Snowflake include the opportunity to work on cutting-edge technologies, collaborate with talented colleagues, make a significant impact on the company's success, and enjoy a competitive compensation and benefits package.

10. What is Snowflake's approach to innovation?

    Snowflake fosters a culture of innovation by encouraging employees to challenge the status quo, experiment with new ideas, and take risks. The company provides employees with the resources and support they need to innovate, including access to cutting-edge technologies, dedicated innovation labs, and opportunities to collaborate with external partners.