Forward Deployed Engineer
AI summary of the role
Forward-deployed engineer at an AI startup, working hands-on with enterprise customers to deploy, integrate, and operationalize a generative AI platform in complex environments.
What you’ll do
- Deploy and configure the platform in enterprise customer production environments.
- Integrate with customer systems, APIs, data sources, authentication frameworks, and workflows.
- Implement custom scripts, connectors, or extensions in Python.
- Troubleshoot issues in real time and own them through resolution.
What you’ll bring
- 6+ years in software engineering, solutions engineering, implementation engineering, or forward-deployed roles.
- Experience working directly with enterprise customers in technical engagements.
- Hands-on experience deploying or integrating systems on a major cloud provider, ideally Azure.
- Strong Python experience in production contexts.
Technologies
Python · Azure · APIs · identity providers · cloud deployment · debugging · distributed troubleshooting · automation · connectors
Source and classification
Implementation & delivery · Evidence for this classification:
About Us We are an innovative AI startup focused on transforming professional services through cutting-edge Generative AI and deep domain expertise. Our agent-driven solutions automate complex workflows, engaging humans only when needed to maximize efficiency and accuracy. Join us at the forefront of AI innovation, where your expertise will directly shape the future of professional services. As we expand our customer base, we are building a world-class forward-deployed engineering team that works directly with customers to implement, integrate, and operationalize our platform in complex enterprise environments. Role Overview We are looking for a Forward-Deployed Integration Engineer who excels at hands-on technical work, customer interaction, and real-world problem solving. In this role, you will work directly with enterprise customers to deploy, integrate, and customize our
More from the job description
About Us We are an innovative AI startup focused on transforming professional services through cutting-edge Generative AI and deep domain expertise. Our agent-driven solutions automate complex workflows, engaging humans only when needed to maximize efficiency and accuracy. Join us at the forefront of AI innovation, where your expertise will directly shape the future of professional services. As we expand our customer base, we are building a world-class forward-deployed engineering team that works directly with customers to implement, integrate, and operationalize our platform in complex enterprise environments. Role Overview We are looking for a Forward-Deployed Integration Engineer who excels at hands-on technical work, customer interaction, and real-world problem solving. In this role, you will work directly with enterprise customers to deploy, integrate, and customize our platform within their environments. You will act as the bridge between our core engineering team and live customer deployments—ensuring customers are successful, issues are resolved quickly, and integrations are robust, secure, and scalable. Key Responsibilities Customer-Facing Engineering Work directly with enterprise customers to deploy and configure our platform in their production environments. Serve as the hands-on technical expert during onboarding, integration, and expansion phases. Troubles [... source excerpt omitted ...] es, authentication frameworks, and enterprise workflows. Implement custom scripts, connectors, or extensions in Python where needed. Configure Azure-based deployments and assist customers with best practices. Product & Platform Contribution Gather customer feedback and translate real-world use cases into actionable product insights. Collaborate with internal engineering to reproduce issues, validate fixes, and enhance stability. Contribute improvements to deployment tooling, automation, and documentation. Operational Ownership Develop playbooks, checklists, migration guides, and integration best practices. Help establish repeatable, scalable processes for future deployme [... source excerpt omitted ...] fications Experience 6+ years in software engineering, solutions engineering, implementation engineering, or forward-deployed roles. Experience working directly with enterprise customers in technical engagements. Hands-on experience deploying or integrating systems on a major cloud provider, ideally Azure. Strong Python experience in production contexts. Experience working in fast-paced startup or high-growth environments is a plus. Education Bachelor’s or Master’s in Computer Science Technical Skills Strong proficiency in Python. Familiarity with Azure services. Experience integrating software with enterprise systems, APIs, or identity providers. Solid understanding
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