The Senior Forward Deployed Software Engineer plays a pivotal role in transforming enterprise challenges into production-grade AI solutions. Working directly within customer environments, this engineer designs and implements systems powered by large language models, ensuring they are robust, scalable, and aligned with business objectives.
Key Responsibilities
- Develop full-stack, LLM-integrated applications, covering backend services, data workflows, and intuitive user interfaces
- Collaborate in real time with customer teams to adapt, refine, and deploy solutions in live settings
- Create reusable components such as prompt templates, code libraries, and development scaffolds to accelerate future projects
- Provide actionable feedback to product and platform teams to enhance developer tools and system capabilities
- Deliver end-to-end solutions within rapid agile cycles, from concept to deployment
- Engineer systems with a broad stack proficiency, including APIs, vector databases, LLM orchestration, and front-end frameworks
- Navigate complex legacy environments, resolve ambiguity, and maintain secure, reliable delivery under tight timelines
- Document and standardize successful patterns into SDKs and tooling to amplify organizational impact
- Inform platform evolution by contributing field-tested code and insights that shape future AI capabilities
Qualifications
- Demonstrated experience integrating AI into software workflows, automation, or decision systems
- Minimum of 8 years in software engineering, with at least 2 years in customer-facing or embedded technical roles
- Proven track record building AI-native applications in production environments
- Strong proficiency in backend languages (Python, Node.js, Java) and frontend frameworks (React, Angular)
- Hands-on experience with REST, GraphQL, LangChain, Semantic Kernel, and vector search technologies
- Skilled in diagnosing distributed systems, optimizing performance, and implementing observability
- Experience deploying cloud-native applications on AWS, Azure, or GCP using CI/CD and infrastructure-as-code
- Willingness to travel up to 30% to support on-site engagements
Preferred Background
- Prior work integrating AI into SaaS platforms such as ServiceNow or Salesforce
- History of deploying solutions in regulated, security-sensitive enterprise environments
- Contributions to internal developer tools, reusable frameworks, or AI scaffolding projects
Work Environment
This role follows a hybrid model with flexibility in work location. Engineers may be required to work remotely, on-site, or in a blended setup depending on project needs. Travel up to 30% is expected to support direct customer collaboration.
Culture and Impact
The team values innovation, engineering rigor, and meaningful customer partnerships. Engineers operate with agility and focus on creating scalable, long-term value. With an AI-first mindset, the organization is committed to transforming global enterprises through intelligent systems and forward-thinking technical leadership.
