{"id":508194,"url":"https://alion.io/job/mendix-solutions-engineer-core-ai","title":"Solutions Engineer (Core AI)","company":{"id":3741,"name":"Mendix","domain":"mendix.com","url":"https://alion.io/company/mendix","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":80,"open_postings":10,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":null,"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":["London, United Kingdom"],"countries":["GB"],"hiring_countries":["NL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":72000,"max_usd":154000,"period":"year","method":"role_country_seniority_unknown","sample_n":97},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"RAG","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-04-27T14:41:39Z","employer_posted_date":"2026-04-27","last_verified_at":"2026-10-16T09:53:28Z","board_verified":true,"closed_at":null,"days_open":171,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":171},"description":"About the Role\nMendix, a Siemens business, powers hybrid agentic workforces by enabling organizations to build, scale and orchestrate agents and applications faster by combining low-code, AI, data, and integrations into a unified platform.\nThe Technical Solutions Marketing team builds technical credibility for Mendix through validated architectures, reusable proof points, and real-world implementations. In this role, you will work directly with customers and the field to prove high-value use cases through lighthouse implementations, then package what works into reusable patterns, components, and technical narratives that scale across GTM and delivery ecosystems.\nResponsibilities\nDesign and implement customer-facing prototypes and lighthouse implementations to validate high-value AI and integration use cases.\n\nLead strategic workshops and technical deep dives with customers and field teams, especially for agentic AI workflows and complex integrations.\n\nTurn validated customer work into reusable assets: reference architectures, blueprints, accelerators, and repeatable patterns.\n\nServe as the deep technical owner for agentic system design, including tool use, orchestration, and multi-agent patterns.\n\nDesign and maintain complex integration architectures across enterprise platforms and data systems.\n\nGround GTM positioning and storytelling in validated technical proof points, supporting high-impact moments like executive demos and analyst briefings.\n\nRequirements\nDemonstrable, hands-on experience designing and building agentic AI systems in production-realistic environments (tool use/function calling, orchestration/planning, multi-agent patterns where appropriate).\n\nStrong practical knowledge of LLM application architecture, including retrieval (RAG), grounding, prompt/system design, and structured outputs.\n\nExperience implementing evaluation and reliability loops (test harnesses, offline/online evals, monitoring, feedback, iteration) and guardrails (safety, policy, data controls).\n\nProven ability to integrate agentic workflows with enterprise systems and data (APIs, events, identity, governance) and to design complex integration architectures.\n\nStrong background in system architecture and end-to-end solution delivery (security, scalability, reliability, observability, deployment readiness).\n\nExperience with enterprise platforms and ecosystems (Siemens stack a plus), data platforms, and modern AI tooling.\n\nAbility to translate complex technical capabilities into reusable patterns, reference architectures, and clear technical narratives for GTM and customer contexts.\n\nStrong communication and collaboration skills across Product, GTM, engineering, and customer stakeholders.\n\nMendix experience is a plus.\n\nWhat Success Looks Like\nLighthouse customer implementations that prove value, de-risk adoption, and generate validated technical proof points.\n\nPackaged assets (patterns, blueprints, components, playbooks) reused across GTM and adopted by Services/partners for repeatable delivery.\n\nReliable, scalable demo and workshop environments that consistently showcase complex AI/data/integration scenarios.\n\nA strong feedback loop into Product and PMM informed by real customer builds.\n\nWhy this role\nThis role sits at the intersection of deep technical work and real business impact, and plays a central part in how 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