Forward Deployed Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement agents and multi-step workflows utilizing Glean, Claude, and various GPT platforms.

• Utilize AI solution patterns such as retrieval-augmented generation (RAG), workflow orchestration, agent-assisted processes, model integration, API-driven automation, and human-in-the-loop reviews.

• Establish connections to gather data from enterprise systems including Salesforce, ServiceNow, SharePoint/Teams, email, and internal APIs.

• Enhance platform functionalities through MCP-based integrations and context-aware workflows that increase the effectiveness and scope of AI solutions.

• Develop custom services and integrations, encompassing REST APIs and webhooks.

• Guarantee that solutions are secure, dependable, observable, and align with enterprise standards.

• Generate reusable templates, components, and solution patterns applicable across teams and various use cases.

• Actively identify pain points within business workflows and innovate solutions by leveraging cutting-edge technology to drive impact.

• Swiftly prototype, validate with actual users, and refine MVPs into scalable, production-ready solutions.

• Collaborate with stakeholders to prioritize high-impact use cases based on business value, feasibility, risk, and repeatability.

• Assess and communicate the value of delivered solutions, including time savings, error reduction, adoption rates, reliability, and operational performance.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or Data and Analytics.

• Experience in technical roles such as Forward Deployed Engineer, Solutions Engineer, Integration Engineer, Automation Engineer, or similar positions with direct stakeholder involvement.

• Proven experience in designing or supporting AI-enabled solutions in production settings, including prompting and system design, agent development, and workflow configuration.

• Familiarity with evaluation methods such as test sets, quality metrics, and iterative improvement processes.

• Working knowledge of AI solution patterns including retrieval-augmented generation, orchestration, model integration, vector-backed retrieval, and human-in-the-loop workflows.

• Ability to configure existing connectors for data access as needed.

• Experience in integrating enterprise applications through APIs, webhooks, automation tools, or lightweight services.

• Understanding of observability, monitoring, governance, guardrails, and responsible AI controls within enterprise contexts.

🏝️ Benefits

• Medical, Dental, and Vision Insurance.

• 401(k).

• Paid company holidays.

• Paid time off.

• Paid parental and caregiver leave.

• Plus more! For additional details, see benefits at https://www.aheadbenefits.com/.