Forward deployed engineer - AIS at Weekday AI

, , India -

Full Time

Start Date

Immediate

Expiry Date

13 May, 26

Salary

0.0

Posted On

12 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, APIs, Microservices Architecture, System Integrations, AI/ML Systems, Data Pipelines, Intelligent Automation, AWS, Azure, GCP, Docker, Kubernetes, SQL, Data Modeling, Troubleshooting, Technical Documentation

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Location: Remote (India) JobType: full-time We are seeking a Forward Deployed Engineer – AIS to work at the intersection of engineering, customer success, and applied AI solutions. In this role, you will act as a technical partner to customers, deploying, customizing, and optimizing AI-driven systems in real-world environments. You will bridge the gap between product engineering and client requirements, ensuring seamless implementation and measurable business impact. Key Responsibilities Deploy and integrate AI/Intelligent Systems (AIS) solutions into customer environments, ensuring reliability, scalability, and performance. Customize and configure solutions based on client-specific workflows, data structures, and operational needs. Collaborate with cross-functional teams including product, engineering, and data science to provide feedback from field implementations and influence product improvements. Design and build integration layers, APIs, and automation workflows to connect AIS platforms with customer systems. Troubleshoot technical issues across the stack, including infrastructure, data pipelines, and application layers. Optimize system performance, ensuring low latency, high availability, and secure operations. Conduct technical discovery sessions with customers to understand requirements and define implementation strategies. Develop technical documentation, implementation guides, and best practices to support scalable deployments. Ensure data integrity, security, and compliance standards are maintained during deployments. Provide post-deployment support, monitoring, and continuous improvement of deployed systems. What Makes You a Great Fit Strong software engineering background with hands-on experience in Python or similar programming languages. Experience working with APIs, microservices architecture, and system integrations. Familiarity with AI/ML systems, data pipelines, or intelligent automation platforms. Solid understanding of cloud environments (AWS, Azure, or GCP) and containerization tools such as Docker or Kubernetes. Experience working directly with customers in technical implementation or solution engineering roles. Ability to debug complex issues across infrastructure, application, and data layers. Strong knowledge of SQL and data modeling principles. Comfortable working in a remote, distributed team environment while managing multiple deployments simultaneously. Excellent communication skills with the ability to translate technical details into business value. Proactive mindset with strong ownership and accountability for outcomes.

Responsibilities

The engineer will deploy, customize, and optimize AI/Intelligent Systems (AIS) solutions within customer environments, ensuring reliability and performance. This involves building integration layers, troubleshooting complex technical issues across the stack, and providing post-deployment support and monitoring.