Software Engineer - Solutions

As a Software Engineer - Solutions at Artian AI, you'll play a crucial role in understanding customer needs and guiding their AI strategy. This includes designing and developing innovative multi-agent AI solutions, creating Proof of Concepts (PoCs), and working closely with cross-functional teams to enhance our product offerings. Your involvement will also extend to nurturing customer relationships during the evaluation and purchasing process.

To qualify for the Software Engineer - Solutions role at Artian AI, candidates need a Bachelor's or Master's degree in Computer Science and at least 5 years of experience in a software engineering role, particularly within cloud environments like AWS, Google Cloud, or Azure. A keen understanding of IT security and B2B SaaS product requirements is essential, and experience in solution engineering is a plus.

Candidates applying for the Software Engineer - Solutions position at Artian AI should possess strong skills in forward deployed solution engineering and pre-sales engineering. Familiarity with regulatory compliance standards, cloud platforms, and AI/ML environments will be highly beneficial. Certifications in AWS, Google Cloud, or Azure are preferred.

Working at Artian AI as a Software Engineer - Solutions means being part of a collaborative and inclusive work environment. You'll collaborate with product management, engineering, and marketing teams, and engage directly with customers to drive innovation. The atmosphere is fast-paced, encouraging rapid development and iteration of solutions.

At Artian AI, Software Engineers - Solutions can take advantage of numerous professional development opportunities. The company supports continuous learning through certifications, training programs, and exposure to leading-edge AI technologies, all designed to foster career growth in a rapidly evolving industry.

In responding, highlight your experience with AWS, Azure, or Google Cloud, detailing specific projects where you deployed solutions. Emphasize how this experience enables you to effectively design and implement AI-driven products at Artian AI.

Discuss your methodology for gathering client requirements, brainstorming potential solutions, and conducting rapid iterations. Explain how your approach ensures that PoCs not only meet client needs but also demonstrate tangible value.

Share examples of how you’ve effectively communicated technical insights to non-technical stakeholders. Highlight the importance of understanding their business goals and how this drives successful collaborations during the sales process.

Use the STAR method (Situation, Task, Action, Result) to frame your response, focusing on a specific challenge related to cloud computing or AI that showcases your problem-solving skills and technical acumen.

Mention specific resources, such as academic journals, industry conferences, and online courses, that you utilize to keep your skills sharp and ensure you’re bringing the latest knowledge to Artian AI.

Describe the project context, your role, and the outcomes achieved, focusing on both technical and business metrics that demonstrate the project’s success and your contribution to it.

Discuss your understanding of these compliance standards and how you incorporate them into your solution design, ensuring that customer data is handled appropriately and securely.

Provide examples of how you’ve successfully adapted to fast-paced development cycles, emphasizing your ability to iterate quickly and effectively based on stakeholder feedback.

Share your time management strategies and tools that help you prioritize effectively, ensuring deadlines are met while maintaining high-quality standards.

Your response should reflect your passion for AI and automation, as well as Artian AI’s mission. Be genuine about what excites you about the company and how your skills align with their goals.