{"id":3951852,"url":"https://alion.io/job/whitecloak-ai-native-solutions-architect","title":"AI Native Solutions Architect","company":{"id":3775755,"name":"Whitecloak","domain":"whitecloak.com","url":"https://alion.io/company/whitecloak","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Makati, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"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":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Clean Architecture","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-09T04:04:25Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T13:42:31Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for an AI-Native Solutions Architect to design, validate, and scale modern software, data, and AI-powered solutions. This role combines solution architecture, data architecture, rapid product development, AI engineering, and technical leadership to transform ideas into scalable business outcomes.\nThe ideal candidate can bridge business strategy, product vision, and engineering execution while leveraging AI to accelerate delivery, enhance team productivity, and create intelligent digital experiences. They are responsible for architecting secure, scalable, and maintainable systems that combine traditional software engineering, enterprise data architecture, and modern AI capabilities.\nThis role serves as a key driver of technology innovation, helping organizations adopt AI-native approaches to product development, engineering excellence, data-driven solutions, and digital transformation.\nResponsibilities\nDefine end-to-end solution and data architectures that align with business requirements, enterprise constraints, and strategic objectives.\nDesign solution architectures, technology stacks, integration patterns, data models, data flows, cloud strategies, and implementation roadmaps for software, data, and AI-enabled systems.\nEnsure alignment of technical and data architecture decisions with enterprise architecture principles, tribe standards, and established technology platforms.\nLead rapid MVP, prototype, and proof-of-concept initiatives to validate opportunities, reduce delivery risk, and accelerate time-to-market.\nDesign and implement AI-powered solutions including agents, copilots, RAG architectures, workflow automation, and intelligent business applications.\nBuild reusable AI harnesses, accelerators, prompt frameworks, and engineering workflows that improve productivity, quality, and AI adoption.\nProvide technical leadership to engineering teams, including Technical Leads and Data Engineers, ensuring solutions are scalable, secure, maintainable, observable, and cost-efficient.\nReview solution and data architecture designs to ensure compliance with security, performance, scalability, data integrity, and governance standards.\nEstablish architecture standards, governance practices, reusable assets, and reference architectures that improve delivery consistency across projects.\nResearch, evaluate, and recommend emerging AI, cloud, data, and engineering technologies that create business value and competitive advantage.\nQualifications\nMinimum 5 years of software engineering experience, with at least 3 years in a Technical Lead, Solutions Architect, Data Architect, or equivalent technical leadership role.\nStrong experience designing scalable cloud-native applications, distributed systems, and enterprise integration architectures.\nHands-on experience architecting and deploying solutions on major cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP), including cloud-native services, networking, security, scalability, and cost optimization.\nExperience designing enterprise data architectures, including conceptual, logical, and physical data models.\nStrong understanding of relational and non-relational databases, SQL, data integration, ETL/ELT, and data pipeline architectures.\nExperience integrating enterprise systems through APIs, event-driven architectures, messaging platforms, and data exchange mechanisms.\nKnowledge of data governance, data quality, data lineage, data integrity, and data security practices.\nExperience building enterprise MVPs, prototypes, and production-ready solutions.\nHands-on experience with AI technologies including LLMs, AI agents, workflow automation, or RAG architectures.\nStrong understanding of architectural patterns such as Clean Architecture, Microservices, Event-Driven Architecture, Domain-Driven Design (DDD), and CQRS.\nExperience with containers, Kubernetes, CI/CD, DevOps, Infrastructure as Code (Terraform or equivalent), and observability practices.\nExcellent leadership, communication, stakeholder management, and problem-solving skills.\nDetailed Expectations\n1. Solution Architecture\nDesign end-to-end business and technical solutions that translate business requirements into scalable and maintainable architectures.\nDefine application architectures, technology stacks, integration patterns, and implementation approaches.\nEvaluate build-versus-buy decisions and architectural tradeoffs based on business value, technical feasibility, and enterprise constraints.\nEnsure solution designs align with enterprise architecture principles, security requirements, and established technology standards.\nConduct architecture reviews and provide technical governance throughout the solution lifecycle.\n2. Data Architecture & Engineering\nDefine data architectures that support enterprise applications, business processes, integrations, and reporting requirements.\nDesign and review conceptual, logical, and physical data models, data flows, and data integration patterns across enterprise systems.\nDefine integration architectures between core platforms, management systems, databases, APIs, and downstream applications.\nGuide Data Engineers in implementing data pipelines, data transformations, ETL/ELT processes, and data integration solutions.\nEnsure data consistency, integrity, quality, security, lineage, and governance across integrated systems.\nReview data architecture and engineering designs to ensure performance, scalability, maintainability, and alignment with enterprise and platform standards.\nProvide technical guidance on data-related decisions, ensuring appropriate architecture and engineering practices are followed.\n3. AI-Native Solution Architecture\nDesign end-to-end business and technical solutions that integrate AI capabilities into products, platforms, and enterprise workflows.\nArchitect systems that combine traditional software components with LLMs, AI agents, RAG pipelines, and workflow automation.\nEvaluate tradeoffs between build, buy, and AI-assisted approaches.\nDefine scalable architectures that support rapid experimentation and long-term growth.\n4. MVP Development & Product Validation\nLead the creation of MVPs and proof-of-concepts to validate business opportunities rapidly.\nTranslate ambiguous business requirements into working prototypes and production-ready architectures.\nApply Lean Startup and product discovery principles to reduce delivery risk.\nDesign architectures that support iterative experimentation and fast market feedback.\n5. AI Harness Engineering\nDesign and maintain AI harnesses that enable engineers, analysts, and business teams to effectively utilize AI.\nBuild reusable AI workflows, prompts, agents, evaluation frameworks, and engineering accelerators.\nEstablish standards for prompt engineering, agent orchestration, AI testing, and model evaluation.\nDevelop reusable AI assets and playbooks that increase organizational productivity.\n6. Engineering Productivity & AI Transformation\nDrive adoption of AI-assisted software development practices.\nEstablish AI-native development workflows utilizing coding assistants, agentic development tools, and automated testing systems.\nDefine best practices for human-AI collaboration across the software delivery lifecycle.\nContinuously identify opportunities where AI can improve engineering velocity and quality.\n7. Technical Leadership & Governance\nProvide architectural direction and technical guidance to Technical Leads, Data Engineers, and development teams.\nGuide engineering teams in implementing scalable, secure, and maintainable application and data solutions.\nConduct solution and data architecture reviews and provide technical governance.\nMentor engineers, technical leads, and architects on modern architecture and AI-native development approaches.\nEstablish architecture standards, reusable reference architectures, and engineering best practices.\nEnsure technical and data decisions remain aligned with enterprise, tribe, and project architecture standards.\n8. Emerging Technology Research\nEvaluate emerging AI models, frameworks, cloud services, data platforms, and engineering tools.\nContinuously assess advancements in AI, cloud, data, and platform technologies.\nRecommend new technologies that create strategic advantages for clients and internal teams.","description_format":"text","description_chars":8304,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Philippines","iso":"PH","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-11-09T04:15:52Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":35,"reasons":["conf:1","win:early"],"computed_at":"2026-11-09T06:03:00Z"},"pay":null,"html_url":"https://alion.io/job/whitecloak-ai-native-solutions-architect","json_url":"https://alion.io/job/whitecloak-ai-native-solutions-architect.json","meta":{"generated_at":"2026-11-09T18:47:06Z","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":3872,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":3775755},"rest":"https://alion.io/mcp/rest/get_company?id=3775755"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwhitecloak-ai-native-solutions-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fwhitecloak-ai-native-solutions-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fwhitecloak-ai-native-solutions-architect"},{"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/whitecloak-ai-native-solutions-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwhitecloak-ai-native-solutions-architect"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3951852}},{"tool":"search_jobs","arguments":{"company":"whitecloak.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3951852},"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. 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