{"id":711880,"url":"https://alion.io/job/facilityos-ai-engineer","title":"AI Engineer","company":{"id":673462,"name":"FacilityOS","domain":"facilityos.com","url":"https://alion.io/company/facilityos","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":150000,"currency":"CAD","period":"year","gross":null,"usd_annual":107248},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Hallucination","optional":false},{"name":"ISO 27001","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Outlook","optional":false},{"name":"RAG","optional":false},{"name":"SOC 2","optional":false}],"status":"live","first_seen_at":"2026-07-13T02:23:29Z","employer_posted_date":"2026-07-13","last_verified_at":"2026-09-23T10:18:44Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":72},"description":"About FacilityOS\nFacilityOS is a fast-growing company redefining how facilities operate-bringing safety, security, and daily operations into one unified platform used by organizations around the world.\nAs we continue to scale globally, we’re building a team of driven, curious people who want to make an impact. You’ll be part of a dynamic, collaborative culture where individuals are trusted to take ownership, solve meaningful problems, and grow in their careers. Our team comes together in-office twice a week to connect, collaborate, and build momentum.\nIf you’re looking to do your best work alongside a great team in a high-growth environment, FacilityOS is the place to build your career.\nAbout the Role\nThe AI Engineer reports to the VP of Engineering and serves as FacilityOS's hands-on technical anchor for AI agent development. This role sits within the central engineering function that acts as an integrator and enabler for the AI agents that individual departments design and own, building the pipelines, frameworks, and integrations that make department-defined agents production-ready, secure, and scalable.\nDepartment leaders own the discovery, tooling choices, behaviour, and outcomes of their own agents. The AI Engineer's role is to build and maintain the underlying technical architecture, RAG pipelines, agent orchestration platforms, and API integrations into business systems such as Microsoft 365, email, and Teams that supports that department-level ownership, not to run agents on departments' behalf.\nKey Responsibilities\nAgent Architecture & Development\nDesign, build, and maintain the technical architecture underpinning FacilityOS's AI agents, including RAG pipelines, agent frameworks, and orchestration layers\n\nIntegrate department-selected AI tools and platforms into a consistent, secure, and supportable technical stack\n\nOwn the organization's approved AI/agent tooling stack in partnership with the VP of Engineering and CTO, evaluating new tools and frameworks as they emerge\n\nEvaluate, select, and operate agent orchestration platforms (e.g., OpenClaw or comparable agent orchestration/runtime frameworks) that coordinate multi-step agent workflows, tool calls, and task hand-offs\n\nBusiness Systems Integration\nConnect agents into the core business systems departments already work in - Microsoft 365, Outlook/email, and Teams, so agents can read, draft, notify, and act within existing workflows rather than requiring new interfaces\n\nBuild and maintain secure authentication and permissioning patterns (e.g., Microsoft Graph API, OAuth) for agents acting inside business systems on a user or department's behalf\n\nEstablish reusable integration patterns for business-system connectivity so each department's agents don't require one-off custom builds\n\nAgent Evaluation & Quality\nBuild and own the evaluation infrastructure that determines whether an agent actually works - eval harnesses, regression testing for prompts and workflows, and quality/accuracy metrics\n\nEstablish guardrails and mitigations for hallucination, unsafe outputs, and failure modes, with clear quality gates an agent must pass before deployment\n\nProvide departments with reusable evaluation patterns so they can measure and improve their own agents' quality over time\n\nCross-Functional Enablement\nPartner with the Data Engineer to ensure agents have reliable, well-structured data to orchestrate against\n\nAct as the technical resource within the AI Tech/Integration SWAT, unblocking department-level technical issues without taking ownership of department agent decisions\n\nTranslate department managers' agent requirements into working technical implementations\n\nCompliance & Deployment Readiness\nBuild agents to meet FacilityOS's ISO27001 and SOC2 Type 2 compliance requirements from the ground up\n\nPrepare technical documentation and evidence required for VP Infosec's mandatory pre-deployment review of every agent build\n\nMaintain security, monitoring, and logging standards across all deployed agents\n\nProgram Support\nProvide technical input to the AI Program Lead's portfolio planning, flagging technical risk and feasibility early\n\nSupport \"AI before headcount\" evaluations by assessing the technical feasibility of automation before new roles are approved\n\nContribute to org-wide AI-readiness standards and documentation\n\nQualifications\nStrong experience building production AI/ML systems, with direct experience in agent frameworks, RAG pipelines, or LLM-based applications\n\nHands-on experience integrating APIs, orchestration tools, and third-party AI platforms into production systems\n\nExperience with agent orchestration platforms or frameworks (e.g., OpenClaw or similar) and integrating agents with business productivity systems such as Microsoft 365, Outlook/email, and Teams is a strong asset\n\nWorking knowledge of data pipelines and structured/unstructured data handling\n\nFamiliarity with security and compliance requirements for enterprise software (SOC2, ISO27001, or similar) is a strong asset\n\nComfortable working directly with non-technical department stakeholders to translate needs into technical solutions\n\nExperience in a SaaS or enterprise technology environment preferred\n\nBachelor's degree in Computer Science, Engineering, or equivalent practical experience\n\nWhy work at FacilityOS?\nWe work hard and play hard and we do both with passion and respect for one another. Our company promotes a fast-paced, fun, friendly, and highly collaborative work environment that provides:\nComprehensive health coverage\nA Hybrid work environment\nOpportunity for advancement and growth\nCatered Events, Snacks, Drinks - You won’t go Hungry!\nBirthday and Life Celebrations\nTwo annual parties in a year\nFacilityOS Commitment\nWe believe that a diverse team is the key to innovation and growth. We are an equal opportunity employer that value diversity at our company and encourage all candidates to apply. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\nFacilityOS will accommodate individuals with disabilities through each stage of the recruitment and selection process. Please advise us of any needs when your interview is booked, and we will do our best to meet your needs.\nPlease note that all candidates must be legally eligible to work in the location in which you applied.\nBackground and Reference Checks\nAny offer of employment may be conditional upon full background checks including a criminal record check, a credit check and employment and educational verifications. A reference check will also be conducted.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications. These tools assist the recruitment team but do not replace human judgment. All advancement and hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us or click here.\nFacilityOS thanks all candidates for their interest, however only those selected to continue in the process will be contacted.","description_format":"text","description_chars":7141,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate","Property Management","Facilities Management"],"lifecycle":[{"event":"open","at":"2026-09-11T04:57:11Z"}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.366,"p_room":0.36,"age_days":72,"expected_fill_days":43,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-09-23T05:45:00Z"},"pay":{"stated_usd_annual":107248,"is_top_pay":false},"html_url":"https://alion.io/job/facilityos-ai-engineer","json_url":"https://alion.io/job/facilityos-ai-engineer.json","meta":{"generated_at":"2026-09-23T11:34:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}