About INSAIT: At Insait.io, we’re transforming operations, marketing, and sales with AI-driven intelligent conversations that streamline processes and enhance engagement. Our predictive, personalized platform ensures the right product reaches the right client at the right time. With a 30% improvement in engagement rates and a 45% reduction in operational overhead, we empower businesses to automate workflows, optimize communication, and drive innovation.
Position Overview
As a Solution Engineer, you’ll play a critical role in ensuring seamless implementation, integration, and optimization of Insait’s AI-powered solutions. You’ll work closely with clients, sales teams, and engineers to architect scalable solutions, enhance API integrations, and drive adoption of our technology. Your expertise in cloud infrastructure, AI-driven automation, and customer success will be key to maximizing the value our clients get from Insait’s Digital Agent.
Key Responsibilities
- Technical Solution Design & Implementation: - Collaborate with clients to design, integrate, and deploy AI-driven automation solutions. - Optimize API integrations for seamless communication between Insait’s platform and customer systems. - Provide technical expertise and best practices in cloud-based deployments and security. - Develop proof-of-concept (PoC) implementations showcasing real-world impact.
- Customer Success & Optimization: - Act as a trusted technical advisor, guiding customers on best practices for AI-driven workflows. - Work closely with marketing, sales, and operations teams to ensure clients achieve maximum efficiency and ROI. - Troubleshoot deployment challenges, resolve technical issues, and enhance system performance.
- Innovation & Continuous Improvement: - Stay ahead of industry trends in AI automation, conversational agents, and cloud-native technologies. - Optimize multi-tenant SaaS deployments, improving scalability, performance, and security. - Collaborate with product teams to drive enhancements based on customer feedback.
Requirements
- 3+ years of experience in Solution Engineering, DevOps, or API Integration roles.
- Expertise in cloud platforms (AWS, Azure, GCP) and API-first architectures.
- Proficiency in AI-driven automation, chatbots, and NLP-based solutions.
- Strong understanding of RESTful APIs, microservices, and event-driven architectures.
- Experience with CI/CD pipelines, Terraform, Kubernetes, and observability tools.
- Ability to translate complex technical concepts into actionable business solutions.