{"id":3747827,"url":"https://alion.io/job/orbisops-ai-agent-engineer-client-experience","title":"AI Agent Engineer, Client Experience","company":{"id":4461375,"name":"Orbisops","domain":"orbisops.com","url":"https://alion.io/company/orbisops","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"CrewAI","optional":false},{"name":"Cursor","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Jira","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"ServiceNow","optional":false},{"name":"Zero Trust","optional":false}],"status":"live","first_seen_at":"2026-10-02T16:15:51Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-06T09:54:07Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"Company Overview\nOrbis is a technology company that delivers sovereign intelligence and decision capabilities to the United States Government and its allies. We convert complex information and operational systems into decisive outcomes, giving public institutions and critical enterprises the tools to move faster, see clearer, and act first in an increasingly contested world.\nWe are not a consulting firm and not a systems integrator. Every Orbis team is built around practitioners who have operated at the mission edge, and every engagement is judged on one thing: whether it produces working capability, not slide decks. Solutions forged from experience; that is how we build, and it is how we hire.\nJob Summary\nOrbis is building the agentic AI capability its mission support operations run on, and the AI Agent Engineer builds and operates it. Sixty percent of this role is common to every AI Agent Engineer at Orbis: designing, building, and deploying the multi-agent workflows behind triage, data retrieval, summarization, reporting, and escalation routing. The remaining forty percent is this role's focus - owning how clients get support on Orbis products already in the field. This engineer owns the Mission Support Desk (MSD) workflows behind client requests - intake, triage, escalation, and resolution - operates the client-facing surfaces those workflows run on, and holds the response and resolution commitments Orbis makes on deployed products.\nTravel: Occasional (up to 10%), which may include international travel.\nKey Responsibilities - Common Core (60% of the Role)\nEvery AI Agent Engineer at Orbis, regardless of focus area, owns the following:\nDesign, build, and deploy agentic AI workflows. Architect and ship the multi-agent and automated workflows that run in production: triage, data retrieval, summarization, reporting, and escalation routing.\nTranslate in both directions. Explain to non-technical stakeholders what the systems do, where they are reliable, and where they are not, in terms those stakeholders can act on. Equally, take a process owner's plain-language description of how their work happens and turn it into a workflow specification that holds up.\nPartner with process owners to build what they actually need. Work directly and iteratively with the colleagues who own a process so the resulting capability fits their operation rather than forcing them to fit it. Push back constructively when a stated requirement will not survive contact with production.\nKeep the workflows reliable. Monitor what is running in production, diagnose failures across prompts, tools, data, and orchestration, and resolve them. Know which problems are yours to solve and when to bring in engineering.\nOwn the cost of execution. Track what your AI workloads cost to run. Identify where a tighter prompt, a caching layer, or a simple deterministic step delivers the same outcome, and keep those costs defensible as volume grows.\nSet the quality bar for AI-assisted output. Define accuracy standards, human review checkpoints, and escalation criteria for the automated workflows, and build the checks that prove those standards are being met.\nDocument what you build. Author and maintain the runbooks and SOPs that allow others to operate and troubleshoot these workflows without you. Nothing lives only in one person's head.\nIntegrate across Orbis products. Work across Catalyst, Pulse, and Discovery, with engineering support where needed, so workflows can access and act on the data they require.\nDeliver the reporting leadership and the team depend on. Build and maintain the outputs behind resolution rate, escalation rate, output accuracy, response time, and employee satisfaction, and turn the Senior Operations Manager's requirements into structured, recurring reports and data exports.\n Close capability gaps and keep the practice current. Recognize when a need is not served by existing tooling, scope the gap clearly, and either build it or bring it to engineering and product with enough detail to act on. Track developments in agentic AI tooling and enterprise automation platforms, and form a defensible view on what is worth adopting, at what pace, and for which use cases.\nFocus Area - Client Experience (40% of the Role)\nIn addition to the common core above, this role owns what the client sees and touches:\nBuild and operate the external-facing interfaces and portals through which clients interact with Orbis capability.\nDesign and automate client onboarding: provisioning, configuration, and the first-run experience.\nBuild the support workflows behind client requests - intake, triage, escalation, and resolution - and instrument them so performance is measurable.\nHold the reliability and accuracy bar on anything client-facing, including documented failure modes and response commitments.\nTurn client friction into product change: capture where clients struggle and carry it back to engineering and product with enough detail to act on.\nMaintain the client-facing documentation, release notes, and status communication that keep clients informed without a support request.\nRequired Qualifications\nOrbis weighs what a candidate has built over tenure or credentials. The following are true minimum requirements for this role:\nMust have 5 years proven experience translating user requirements into wireframes, workflows and such.\nMust have 1-year proven experience utilizing Claude or similar commercial offering to build AI agents.\nDemonstrated 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\nPractical command of prompt engineering, including retrieval-augmented generation (RAG) and tool or function calling\nProven 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\nDemonstrated ability to elicit requirements from stakeholders who cannot hand over a specification, and to reach a working solution regardless\nAbility 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\nWorking 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\nSound judgment about model output, including the discipline to state plainly when an output should not be trusted\nStrong written communication. This role produces documentation, runbooks, and reports that program leads and executives rely on\nExperience building and operating external-facing interfaces, portals, or client-facing applications in production\nExperience designing or automating customer onboarding and provisioning\nExperience designing support workflows - intake, triage, escalation, resolution - and instrumenting them so performance is measurable\nDesired Qualifications\nStrong candidates will bring depth in one or more of the following. Do not screen yourself out for lacking items on this list.\n5-7 years experience in software development\nExperience coding using Python\nInterface build: a modern front-end framework such as React; API design for external consumers; accessibility and usability practice\nSupport tooling: integration with ticketing or CRM platforms such as Zendesk, ServiceNow, or Jira Service Management\nClient accountability: defining and reporting against service commitments; running client feedback loops or usability research\nBridging technical and operational teams: prior work as a solutions consultant, technical program manager, forward-deployed engineer, or in a product-adjacent role\nAI reliability practice: monitoring, evaluation, or observability tooling for AI systems in production; automated evaluations or regression checks for LLM-based workflows; human-in-the-loop review steps that maintain quality without creating bottlenecks\nProcess design: designing SOPs or escalation frameworks that hold up across multiple stakeholders\nAI-assisted development tooling: working fluency with Claude, Copilot, or Cursor\nMission environment: operating within or supporting a government or defense program; OSINT, DIGINT, or intelligence analysis workflows and tradecraft; data governance concepts, federated access control models, or zero-trust architectures\nOperating range: a track record of coming up to speed quickly on unfamiliar systems, and effectiveness in a distributed, multi-program environment with competing priorities\nPhysical Requirements\nProlonged periods of sitting at a desk and working on a computer\nParticipation in virtual and in-person meetings\nAbility to attend planned meetings and/or work in classified spaces for extended periods within the specified work regions\nTravel: Occasional (up to 10%), which may include international travel.\nOrbis Benefits\nBeyond the opportunity to work alongside practitioners who have operated at the mission edge, joining Orbis means real ownership over outcomes that matter; the chance to build technology that gives the United States Government and its allies a genuine decision advantage, not just another dashboard. From competitive retirement matching to a PTO policy that encourages real time off, we're committed to creating an environment where our team can do their best work and still have a life outside of it.\nOur comprehensive benefits package is designed to meet the diverse needs of our employees and their families. A full list of benefits is shared with candidates following an initial conversation with our HR team, so you'll have a clear picture of the support and resources available to you as part of the Orbis team.\nOrbis Locations\nOrbis works in whatever arrangement the mission requires. Depending on the role, that might mean five days a week on a customer site, full-time in one of our offices, a hybrid schedule, or fully remote work; our team is spread across 25 states and four countries to match. We make sure every team member has the tools and access needed to do the work, wherever that work happens.\nTravel is common across many Orbis roles, particularly those supporting customer missions in the field.\nOrbis is headquartered in McLean, VA, with additional office locations in Taipei, Taiwan, and Canberra, Australia.\nOrbis is an Equal Employment Opportunity employer. We are committed to providing a work environment free of discrimination and harassment, and we make employment decisions based on merit, \nqualifications, and business need. Orbis does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, genetic information, or any other status protected by applicable law.\nOrbis complies with all applicable equal opportunity and non-discrimination laws in every jurisdiction in which we operate. 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