AI Agent Engineer, Client Experience & Onboarding

Orbis-Operation; McLean (VA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive retirement match

PTO policy

Job summary

Orbis Operations is building its AI Agent Engineer capability to design, deploy, and operate multi-agent workflows that triage, retrieve data, summarize, report, and escalate. The role also owns client-facing support surfaces, onboarding, and ongoing performance measurement across delivery surfaces.

Travel up to 10% may be required, including international travel. The position emphasizes collaboration with process owners and engineers to ensure reliable, cost-effective operations and clear,

Qualifications

• Must have 5 years proven experience translating user requirements into wireframes, workflows and such.
• Must have 1-year proven experience utilizing Claude or similar commercial offering to build AI agents.
• Demonstrated experience building a functioning multi-agent workflow, with the ability to walk through the design rationale, how the agents hand off work and share context, what broke, and how it was fixed
• Practical command of prompt engineering, including retrieval-augmented generation (RAG) and tool or function calling
• Proven ability to explain technical work to non-technical audiences — describing a system's behavior, limits, and failure modes to a process owner or executive without hedging or retreating into jargon
• Demonstrated ability to elicit requirements from stakeholders who cannot hand over a specification, and to reach a working solution regardless
• Ability to troubleshoot agent workflows built on platforms such as Claude, GPT-class models, LangChain, AutoGen, or CrewAI, and to isolate whether a failure originates in the prompt, the tool, the data, or the orchestration
• Working proficiency with APIs and sufficient scripting ability to build and debug workflows independently; software engineering experience is not required, but a JSON payload or a Python script must not be a blocker
• Sound judgment about model output, including the discipline to state plainly when an output should not be trusted
• Strong written communication. This role produces documentation, runbooks, and reports that program leads and executives rely on
• Experience building and operating external-facing interfaces, portals, or client-facing applications in production
• Experience designing or automating customer onboarding and provisioning
• Experience designing support workflows — intake, triage, escalation, resolution — and instrumenting them so performance is measurable

Responsibilities

• Design, build, and deploy agentic AI workflows and multi-agent systems in production.
• Explain systems to non-technical stakeholders and translate business needs into workflows.
• Collaborate with process owners to ensure the capability fits operations.
• Monitor production workflows, diagnose failures across prompts, tools, data, and orchestration.
• Own execution costs and optimize prompts, caching, or deterministic steps.
• Set quality standards, review checkpoints, and establish escalation criteria.
• Document runbooks and SOPs for operations and troubleshooting.
• Integrate workflows across Orbis products (Catalyst, Pulse, Discovery) with engineering support.
• Deliver reports on resolution rate, escalation, accuracy, and response time.
• Identify capability gaps and drive actionable gaps to engineering/product teams.

Skills

AI workflows design

Prompt engineering

Communication to non-technical

APIs scripting

Model evaluation

Tools

Claude

LangChain

AutoGen

CrewAI

Job description

Orbis Operations is building its AI Agent Engineer capability to design, deploy, and operate multi-agent workflows that triage, retrieve data, summarize, report, and escalate. The role also owns client-facing support surfaces, onboarding, and ongoing performance measurement across delivery surfaces.

Travel up to 10% may be required, including international travel. The position emphasizes collaboration with process owners and engineers to ensure reliable, cost-effective operations and clear,