{"id":3024584,"url":"https://alion.io/job/cushman-wakefield-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":448742,"name":"Cushman & Wakefield","domain":"cushmanwakefield.com","url":"https://alion.io/company/cushmanwakefield-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Costa Mesa, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":124780,"max":146800,"currency":"USD","period":"year","gross":null,"usd_annual":146800},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Angular","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"Delta Lake","optional":false},{"name":"FastAPI","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"GraphQL","optional":false},{"name":"gRPC","optional":false},{"name":"Hallucination","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"New Relic","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Tailwind CSS","optional":false},{"name":"Terraform","optional":false},{"name":"Threat Modeling","optional":false},{"name":"TypeScript","optional":false},{"name":"Zero Trust","optional":false}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-25T12:47:16Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"Job Title\nSenior AI EngineerJob Description Summary\nBuild the next generation of scalable, AI-powered software with modern tools, cloud-native systems, and world-class engineering practices.Cushman & Wakefield is investing heavily in modernizing and transforming its global technology platforms - and we are looking for a Sr AI Engineering Lead who wants to own technical direction end to end. AI is the primary differentiator here, not a side feature: you will define how intelligence is embedded across products built on top of a complex, multi-source enterprise data estate spanning a global commercial real estate firm (properties, leases, work orders, capital projects, and occupier analytics).\nIf you're motivated by technical breadth, architectural influence, and building elite engineering teams - you'll thrive here.\nJob Description\nTechnology Strategy & Vision\n- Define multi-year architectural direction across full-stack systems, cloud platforms, and AI-driven products - focusing on scale, resilience, security, and global performance.\n-Establishstandards foragentic workflows, intelligent search, conversational interfaces, and data-grounded reasoning across CW's enterprise platforms.\n- Shape engineering roadmaps using best-in-class development stacks (e.g., TypeScript/Node.js, Python, Go, C#, React, Next.js, microservices, event-driven architectures).\n- Foster a modern engineering culture emphasizing automation, craftsmanship, clean architecture, and continuous improvement.\n---\nHands-On Full-Stack & Platform Engineering Leadership\nGuide the design and development of solutions built with:\n- Frontend: React, Next.js, TypeScript, Tailwind, micro-frontends\n- Backend: Node.js, Python (FastAPI), Go, .NET Core, event-driven microservices\n- Cloud & Infra: Azure (preferred), AWS, Kubernetes (AKS/EKS), serverless architectures, Terraform\n- Data & AI:Databricks (Genie/AI-BI, Mosaic AI Agent Framework, Unity Catalog, Delta Lake, medallion architecture, model serving),Azure Data Lake, vector databases, LLM orchestration and agentic frameworks\n- APIs:GraphQL,gRPC, REST at scale\nDrive innovation by embedding AI/ML, automation,production prompt engineering (system prompt architecture, context injection, business-rule encoding,citationand grounding patterns),intelligent workflows, and data interoperability into core products.\n---\nExecution, Quality & Delivery Excellence\nChampion excellence through best practices:\n- Enterprise-grade CI/CD (Azure DevOps,ArgoCD)\n- Automated testing, contract testing, and quality gates\n- Observability platforms (Prometheus,OpenTelemetry, Grafana, New Relic, Datadog)\n- Secure-by-design principles, threat modeling, zero trust patterns\nOversee engineering delivery across multiple squads - ensuring consistency, velocity, and reliability.\n---\nAI Engineering Standards\nDefine and enforce AI engineering standards across products and external delivery teams:\n- AI evaluation framework design - golden-question sets, hallucination measurement, regression testing, and model quality gates for production AI systems\n- Pre-semantic data contracts - schema stability requirements,canonicalentity ID definitions, and data quality thresholds that AI systems can depend on\n- AI governance - access control patterns for confidential and client data, responsible use guardrails, and auditability requirements for AI-generated outputs\n- LLM system design standards - prompt versioning, context window management, grounding and citation patterns, and failure-mode handling\n---\nArchitecture, Governance & Platform Integrity\nLead architectural reviews and key design decisions across services, domains, and integrations.\nEstablish patterns for scalability, fault tolerance, global data compliance, and cost optimization.\nMaintainhigh standardsin coding, cloud security, API governance, and data interoperability.\n---\nStakeholder Alignment & Technical Influence\nPartner with Product, Architecture, Operations, and Client Technology to prioritize work, unblock teams, and drive outcomes.\nRepresent engineering in executive and governance forums with clarity around architectural options, tradeoffs, and investment needs.\nTranslate complex engineering realities into clear business insights that support strategic decision-making.\n---\nWhat You Bring - Technical Background\n- Bachelor's/Master's in Computer Science, Engineering, or relatedfield.\n- 8+ years of software engineering experience and 3+ years leading technical teams or engineering managers.\n- Deep experience with modern full-stack development, cloud-native systems, distributed architectures, and high-scale platforms.\n-Demonstratedexperience designing and shipping production LLM/AI systems: agentic frameworks, RAG pipelines, text-to-SQL grounding, and AI evaluation harnesses.\n- Hands-onexpertisewithPython, Go, TypeScript/JavaScript, C#, Java, SQL/NoSQL; React, Next.js, Node.js,FastAPI, .NET, Angular Core, microservices, Kubernetes\n- Strong command of DevOps, CI/CD automation, infrastructure-as-code, and observability.\n---\nLeadership Competencies\n- Strategic engineering thinker who balances innovation with disciplined execution.\n- Proven ability to mentor engineers, grow high-performing teams, and attract top talent.\n- Ability toinfluenceproduct, business, and technical leadership.\n- Comfortable making architectural decisions that require both technical depth and business awareness.\n---\nBonus Experience (Highly Attractive)\n- Distributed event streaming (Kafka, EventHub), CQRS/event-sourcing patterns.\n- Experience building platforms used across global organizations.\n- Experience technically overseeing external development vendors or contract engineering teams.\nCushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.\nThe compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications.\nThe company will not pay less than minimum wage for this role.\nThe compensation for the position is: $ 124,780.00 - $146,800.00Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.\nIn compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or email . 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