{"id":3529945,"url":"https://alion.io/job/wolters-kluwer-principal-enterprise-software-engineer-2","title":"Principal Enterprise Software Engineer","company":{"id":2555,"name":"Wolters Kluwer","domain":"wolterskluwer.com","url":"https://alion.io/company/wolters-kluwer","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":68,"ghost_share":0.015,"stale_share":0.676,"repost_share":0.059,"time_to_fill_p50_days":34,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States","Minneapolis, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":106000,"max_usd":213000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1231},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic SDK","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"C#","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"HIPAA","optional":false},{"name":"ISO 27001","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI SDK","optional":false},{"name":"Prompt Caching","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"SOC 2","optional":false}],"status":"live","first_seen_at":"2026-10-30T15:45:59Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-04T13:38:15Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Wolters Kluwer is seeking a hands-on Principal AI Solutions Engineer in our Architecture & Engineering Services (AES) Team to architect, build, and deploy enterprise-scale AI solutions on our next-generation AI platform. Working within our Engineering team and collaborating closely with customers, Cloud Operations, Security, Compliance, and business stakeholders, this principal engineer will drive AI-powered transformation initiatives across the enterprise.\nOur Principal AI Solutions Engineer will lead the development of intelligent, cloud-native, agentic AI solutions that operationalize decision-making and process automation across the organization. The role requires deep expertise in designing AI agents, composing orchestrations, engineering reusable skills, and building extensible plugins that solve complex business problems. Beyond architecting AI systems, this engineer will demonstrate thought leadership in translating business processes into AI-driven workflows and will play a key role in evolving our AI platform roadmap.\nKey Responsibilities:\nTranslate business processes and operational workflows into AI use cases solved via agents, orchestrations, skills, and plugins on our platform\nLead the design and delivery of end-to-end AI solutions that integrate process engineering principles with business logic\nArchitect agentic systems that combine intent-driven decision-making, dynamic authorization, and controlled execution\nAccelerate AI adoption across the organization by democratizing access to AI capabilities, empowering business units and engineering teams to build, deploy, and operationalize intelligent workflows without deep AI expertise\nMentor the engineering team in AI solution design patterns, governance frameworks, and best practices\nShape the AI platform roadmap based on customer needs, operational requirements, and emerging patterns\nCollaborate with stakeholders to define AI governance, compliance, and risk controls for enterprise deployments\nBuild and operationalize reusable, composable skills, orchestrations, and patterns that amplify team velocity and reduce time-to-value for downstream adopters\nThis role demands an engineer who understands both the technical depth of AI systems and the business context they operate within-and who is committed to scaling AI impact across the enterprise.\nWhat YOU’ll have\nRequired Qualifications & Mindset\nCore Motivation & Approach:\nDriven to transform enterprise operations through AI agents and intelligent automation\nPassionate about democratizing AI-making advanced capabilities accessible to business units and non-expert engineering teams\nMotivated by solving complex, real-world process problems with scalable, resilient solutions\n\"Can-do\" attitude; comfortable designing and shipping solutions under pressure and ambiguity\nTechnical Foundation:\nStrong grasp of cloud platforms and hybrid environments; comfortable architecting for Azure, AWS, or GCP\nDeep understanding of distributed systems, microservices architecture, and cloud-native patterns\nProven experience with high-level programming languages (Python preferred; Java/C# acceptable)\nStrong fundamentals: OS concepts, storage solutions, networking, and infrastructure principles\nAI/LLM & Agentic Systems:\nProven track record building production LLM applications and agentic systems\nDeep expertise designing and orchestrating AI agents that make decisions, take actions, and execute workflows autonomously\nProficiency in Python; strong experience with AI frameworks and SDKs (LangChain, LlamaIndex, OpenAI SDK, Anthropic SDK, or equivalent)\nUnderstanding of intent-driven decision-making, dynamic authorization models, and controlled execution patterns\nExperience building reusable, composable AI components (skills, orchestrations, plugins) that democratize AI across teams\nProcess Engineering & Business Translation:\nAbility to translate business processes and operational workflows into AI-solvable use cases\nSkilled at decomposing complex workflows into orchestrations, skills, and plugins that work together\nComfort with process automation platforms, workflow engines, and integration patterns\nExperience collaborating with business stakeholders to identify automation opportunities and design intelligent workflows\nAPI, Integration & Architecture:\nExpert in designing and consuming APIs; strong background with async patterns and event-driven architectures\nExperience designing scalable integration patterns that connect AI solutions to enterprise systems\nComfortable with hybrid and multi-cloud integration challenges\nTesting, Quality & Governance:\nStrong background in testing AI/ML systems (unit, integration, evaluation); familiar with model benchmarking and validation frameworks\nDeep experience designing AI governance frameworks, policy enforcement layers, and risk classification models\nSkilled at building audit trails, compliance controls, and observability for regulated industries\nCommitted to quality; driven to continuously improve solutions, processes, and platform capabilities\nCloud & Data Architecture:\nDeep experience with Azure services (Azure OpenAI, Azure AI Services, Cosmos DB, Functions, Azure Cognitive Search) or equivalent on AWS/GCP\nUnderstanding of data pipelines, vector databases (Azure Cognitive Search), and knowledge graph construction\nExperience designing data governance and knowledge management for AI systems\nCollaboration & Leadership:\nCross-functional mindset; comfortable working with business stakeholders, customers, security, and compliance teams\nSkilled at translating between business problems and technical solutions\nMentoring mindset; driven to grow the engineering team's AI capabilities and design patterns\nThought leadership in AI solution architecture, governance, and best practices\nExecution & Continuous Learning:\nNot afraid to prototype, test, and ship quickly; able to hack scalable solutions under pressure\nStrong problem-solving skills; driven to fix bugs and continuously improve existing solutions\nComfortable with ambiguity and emerging AI patterns; eager to pioneer new approaches\nResilience and \"can-do\" attitude toward technical challenges and organizational complexity\nRESPONSIBILITIES Organizational AI Maturity & Knowledge Transfer: Design and execute a strategic roadmap for scaling AI adoption across the enterprise-moving from pilots to production at scaleBuild organizational capability by creating reusable patterns, reference architectures, and best practices that multiply team velocityMentor and upskill engineering teams in agentic systems, orchestrations, and AI solution design-transforming AI from specialist domain to accessible practiceEstablish AI solution maturity models that help business units and engineering teams assess readiness and accelerate time-to-valueDemocratize AI across the organization by building and training teams on composable skills, orchestrations, and plugins that abstract complexityPlatform-Led Training & Education: Leverage the AI platform itself as a learning and experimentation environment-enabling teams to build, test, and deploy solutions in a safe, governed sandboxDesign hands-on workshops, labs, and playbooks that guide teams from business problems to deployed AI solutionsCreate and maintain solution templates and reference implementations that serve as both learning tools and accelerators for new projectsDocument and evangelize emerging patterns, governance frameworks, and best practices across the organization\n Strategic Research & Technology Innovation:\nResearch, propose, and implement emerging AI technologies and paradigms (agentic orchestration, safety patterns, cost optimization) that improve platform resilience, scalability, and economicsConduct POCs and evaluate new LLM models, frameworks, and cloud services (Azure OpenAI, newer models, optimization techniques) that advance platform capabilitiesImprove engineering velocity metrics, solution quality benchmarks, and AI governance maturity-quantifying the business impact of platform investments\n Solution Architecture & Governance:\nProduce engineering design artifacts, functional and design specifications that translate business workflows into agentic solutionsImplement and advocate for AI safety patterns (output validation, escalation gates, controlled execution, rollback mechanisms) across all solutionsDesign AI governance frameworks aligned with NIST AI RMF and ISO/IEC 42001 for regulated industries (healthcare, financial services, legal tech)Ensure compliance with SOC 2, ISO 27001, HIPAA, and other regulatory requirements in all AI deployments Agentic Systems Development:\nArchitect and deliver agentic orchestration systems (multi-agent systems, tool use, long-running workflows, intent-driven decision-making)Implement AI safety and governance patterns that enable responsible, auditable agent autonomyOptimize production LLM applications for cost and performance (prompt caching, model quantization, intelligent batching)Design solutions for regulated industries that meet stringent compliance and audit requirementsPlatform Evolution & Thought Leadership:\nParticipate in strategic planning sessions to shape the AI platform roadmap based on emerging needs, customer feedback, and industry trendsIdentify and advocate for new processes, methodologies, and governance paradigms that make AI solutions more resilient, economical, and trustworthyContribute to industry conversations on AI safety, governance, and responsible deployment-potentially through open-source contributions, research, or speaking engagementsPilot new technologies, validate cloud provider solutions, and propose innovations that strengthen platform capabilities and organizational AI maturity\nEXPERIENCE & SKILLS REQUIRED Organizational AI Maturity & Knowledge Transfer: Design and execute a strategic roadmap for scaling AI adoption across the enterprise-moving from pilots to production at scale\nBuild organizational capability by creating reusable patterns, reference architectures, and best practices that multiply team velocity\nMentor and upskill engineering teams in agentic systems, orchestrations, and AI solution design-transforming AI from specialist domain to accessible practice\nEstablish AI solution maturity models that help business units and engineering teams assess readiness and accelerate time-to-value\nDemocratize AI across the organization by building and training teams on composable skills, orchestrations, and plugins that abstract complexity\nPlatform-Led Training & Education: Leverage the AI platform itself as a learning and experimentation environment-enabling teams to build, test, and deploy solutions in a safe, governed sandboxDesign hands-on workshops, labs, and playbooks that guide teams from business problem to deployed AI solutionsCreate and maintain solution templates and reference implementations that serve as both learning tools and accelerators for new projects\nDocument and evangelize emerging patterns, governance frameworks, and best practices across the organization undefined\n Strategic Research & Technology Innovation: Research, propose, and implement emerging AI technologies and paradigms (agentic orchestration, safety patterns, cost optimization) that improve platform resilience, scalability, and economics\n Conduct POCs and evaluate new LLM models, frameworks, and cloud services (Azure OpenAI, newer models, optimization techniques) that advance platform capabilities\nImprove engineering velocity metrics, solution quality benchmarks, and AI governance maturity-quantifying the business impact of platform investments undefined\nSolution Architecture & Governance: Produce engineering design artifacts, functional and design specifications that translate business workflows into agentic solutions\n Implement and advocate for AI safety patterns (output validation, escalation gates, controlled execution, rollback mechanisms) across all solutionsDesign AI governance frameworks aligned with NIST AI...","description_format":"text","description_chars":15213,"description_truncated":true,"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":["Continuous learning","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["RegTech, AML & Compliance","Clinical Decision Support","Accounting & Tax Software","Legal Software"],"lifecycle":[{"event":"open","at":"2026-10-30T15:45:59Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":34,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/wolters-kluwer-principal-enterprise-software-engineer-2","json_url":"https://alion.io/job/wolters-kluwer-principal-enterprise-software-engineer-2.json","meta":{"generated_at":"2026-11-04T15:57:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24392,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2555},"rest":"https://alion.io/mcp/rest/get_company?id=2555"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwolters-kluwer-principal-enterprise-software-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fwolters-kluwer-principal-enterprise-software-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fwolters-kluwer-principal-enterprise-software-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/wolters-kluwer-principal-enterprise-software-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwolters-kluwer-principal-enterprise-software-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3529945}},{"tool":"search_jobs","arguments":{"company":"wolterskluwer.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3529945},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}