Pre-Sales Engineer

The Opportunity

In this role, you’ll help customers identify where agentic AI can deliver measurable value and establish a technically sound path to implementation. You will:

• Lead technical discovery.
• Qualify use cases.
• Demonstrate solutions that connect business needs to achievable capabilities.
• Design proposed workflows and architectures.
• Build demonstrations and proofs of concept.
• Assess data, integration, infrastructure, and security requirements with engineering teams.
• Make assumptions, limitations, and implementation complexity explicit.
• Agree technical acceptance criteria and business success measures.

Your accountability is validated feasibility and clear scope, with an accepted handoff to Forward-Deployed Engineering and Customer Success.

Due to the nature of work performed within this facility, U.S. citizenship is required.

Key Responsibilities

• Experience in technical discovery, solutions engineering, consulting, or a customer-facing technical role.
• Experience assessing enterprise data access, integrations, cloud environments, security requirements, and implementation dependencies.
• Experience documenting requirements, assumptions, capability gaps, and technical acceptance criteria for delivery teams.
• Knowledge of large language models, agent orchestration, retrieval-augmented generation, tool integrations, and human oversight patterns.
• Ability to build and explain technical demonstrations or proofs of concept using code, APIs, or AI development tools.
• Ability to translate business processes and stakeholder needs into prioritized use cases, solution architectures, and measurable outcomes.
• Ability to demonstrate execution traces, guardrails, observability, and solution limitations to technical and business audiences.
• Ability to develop value hypotheses and success metrics with customers and validate feasibility with the responsible engineering teams.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.

Qualifications

• Bachelor’s degree

Nice to Have

• Experience supporting enterprise AI opportunities, technical proposals, or solution validation workshops.
• Experience with Python, TypeScript, LLM APIs, RAG frameworks, or multi-agent demonstrations.
• Experience with value engineering, customer executive presentations, or transferring successful proofs of concept into implementation.

The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD).