Software Engineer - Solutions

Artian AI is pioneering a transformative agentic AI-driven approach to enterprise process automation, redefining what’s possible in regulated industries like financial services. By advancing the concept of AI Workflow Agents and enabling seamless collaboration among them, Artian is poised to deliver what RPA and BPM tools have long promised but never achieved. With a vision to make AI-powered automation scalable, reliable, and adaptable, Artian is starting with financial services but sees vast potential for its Artian Intelligence Platform across industries. Led by a team of experts at the forefront of AI research and enterprise innovation, Artian is shaping the future of multi-agent automation in large-scale, mission-critical environments. Learn more about us at .

Our platform leverages the latest in AI and machine learning to deliver scalable, intelligent automation. As we rapidly scale, we're looking for a talented Solutions Engineer that can work hand-in-hand with our product development and go-to-market teams and with large enterprise customers to design and develop novel multi-agent AI solutions for specific customer use cases using the Artian Intelligence Platform.

Please note : This position is on-site in New York, with some flexibility.

Key Responsibilities:

• Partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications.

• Work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development.

• Design and build PoCs and pilot use cases in a very rapid development, iteration and deployment environment.

• Collaborate with the product management, engineering, and go-to-market teams to drive improvements in our core product and solution offerings.

• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.
  

Requirements:

• Bachelor's or Master's degree in Computer Science.

• 5+ years of experience in a software engineering role, working in cloud environments like AWS, Google Cloud, or Azure.

• Strong experience in forward deployed solution engineering, pre-sales engineering, or similar role, managing C-level technical and business relationships with complex global organizations.

• Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products.

Preferred Qualifications:

• Understanding of regulatory and compliance standards (GDPR, SOC 2, ISO 27001, etc.).

• Experience in AI/ML environments, supporting machine learning operations (MLOps/LLMOps/AIOps) and data pipelines.

• AWS/GCP/Azure certifications.

What We Offer:

• Competitive salary and equity options.

• Opportunity to work with leading-edge AI technologies in a fast-growing startup.

• Collaborative, inclusive, and innovative team culture.

• Professional development opportunities, including certifications and training.

• Health insurance and other benefits.

How to Apply: If you're passionate about cloud infrastructure, DevOps best practices, and want to help shape the future of AI technology, we'd love to hear from you. Please submit your resume and a brief cover letter outlining your experience and interest in the role at .