We're looking for Pre-Sales Engineer (AI & Data Solutions) to join our team!
At Insignia, we build innovative Data & AI solutions that help enterprises transform the way they operate. From modern data platforms and analytics to GenAI and cloud technologies, we solve real business problems through technology. If you're passionate about exploring new technologies, building impactful solutions, and working alongside talented engineers and consultants, we'd love to have you on our team.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.
- Minimum 4 years of experience as a Fullstack Developer, Software Engineer, Solutions Engineer, Pre-Sales Engineer, or a similar technical role.
- Strong understanding of software architecture, REST APIs, databases, cloud computing, and modern web application development.
- Hands-on experience with technologies such as React, Next.js, Node.js, Python, Java, Go, or similar frameworks.
- Passionate about researching and exploring emerging technologies, especially AI, GenAI, Data Platforms, and Cloud solutions.
- Enjoy building Proof of Concepts (POCs), prototypes, and technical demonstrations.
- Able to analyze business requirements and translate them into scalable technical solutions and solution architectures.
- Strong analytical thinking, troubleshooting, and problem-solving skills.
- Excellent communication and presentation skills, with the ability to explain technical concepts to both technical and non-technical audiences.
- Comfortable collaborating with Sales, Product, and Engineering teams throughout the sales cycle.
- Self-driven, creative, curious, and eager to continuously learn new technologies.
What You'll Do
- Partner with the Sales team to understand customer challenges and propose the best technical solutions.
- Design and present solution architectures, technical proposals, and product demonstrations.
- Build Proof of Concepts (POCs) and prototypes to validate customer requirements and showcase solution capabilities.
- Research, evaluate, and experiment with emerging technologies in AI, Data, Cloud, and Automation.
- Translate business requirements into scalable technical designs and collaborate with Engineering teams during solution planning.
- Support the pre-sales process through discovery sessions, technical workshops, presentations, RFP/RFIs, and proposal development.
- Keep up with industry trends and continuously improve technical knowledge and solution offerings.
Nice to Have
- Experience with AWS, GCP, or Azure.
- Familiarity with AI/LLM technologies, RAG, MCP, AI Agents, Vector Databases, or MLOps.
- Experience with Docker, Kubernetes, CI/CD, or DevOps practices.
- Experience creating technical proposals, solution architectures, or customer presentations.
- Familiarity with databrick or snowflake.
