{"id":3453707,"url":"https://alion.io/job/ralabs-solution-architect-agentic-development-lifecycle","title":"Solution Architect (Agentic Development Lifecycle)","company":{"id":2058105,"name":"Ralabs","domain":"ralabs.org","url":"https://alion.io/company/ralabs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":70000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1737},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"AWS Bedrock","optional":true},{"name":"FastAPI","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Ollama","optional":true},{"name":"Python","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-10-28T12:01:03Z","employer_posted_date":null,"last_verified_at":"2026-10-28T12:01:03Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Hi! We are seeking for a Technical Leader/ Solution Architect responsible for defining and guiding the architecture of a next-generation UK healthcare platform.\nWhat is the role about?\n\nThe role combines solution architecture, technical leadership, and AI-native software delivery. You will help evolve an existing AI-driven implementation into a secure, scalable, maintainable, and production-ready platform while preserving the delivery speed enabled by modern agentic development practices.\n\nA key part of the role is shaping the Agentic Development Lifecycle (ADLC): how requirements are captured, AI agents handle implementation, generated solutions are reviewed, testing is performed, and changes are released.\n\nThe role is also highly client-facing and requires the ability to clearly explain architectural decisions, trade-offs, risks, effort, and business impact.\nHow many stages of the interview are there?\n\nInterview with the Recruiter – up to 30 min.\n\nTechnical Interview – up to 1 hour;\n\nFinal interview – up to 1 hour;\nHard skills\n\n7+ years of software engineering experience, including technical leadership responsibilities.\n\n3+ years in a Solution Architect, Software Architect, Principal Engineer, Staff Engineer, Tech Lead, or similar role.\n\nProven experience designing and delivering complex production systems.\n\nExperience evolving prototypes or early-stage platforms into production-grade solutions.\n\nExperience working directly with clients and senior technical stakeholders.\n\nTechnical Expertise\nStrong understanding of software architecture and distributed systems.\n\nExperience designing scalable, secure, cloud-native solutions.\n\nStrong AWS experience.\n\nDeep knowledge of APIs, integrations, and third-party systems.\n\nStrong understanding of relational databases, transactional systems, data modelling, and data integrity.\n\nUnderstanding of data migration, ETL, and reconciliation approaches.\n\nStrong knowledge of security, performance, scalability, reliability, and maintainability.\n\nAbility to evaluate technology choices and architectural trade-offs.\n\nPractical experience with modern AI-assisted software engineering tools and workflows.\n\nAbility to critically review AI-generated code and identify architectural, security, scalability, and maintainability risks.\n\nExperience with AI-native or agentic development approaches.\n\nLeadership & Consulting\nAbility to define technical vision and architectural direction.\n\nAbility to translate architecture into practical guidance for engineering teams.\n\nStrong decision-making and problem-solving skills.\n\nAbility to operate effectively with ambiguity and incomplete requirements.\n\nAbility to challenge existing solutions constructively and support recommendations with evidence.\n\nStrong stakeholder management and client-facing communication skills.\n\nCommunication\nUpper-Intermediate or higher English proficiency.\nResponsibilities\n\nSolution Ownership & Technical Governance\nDefining the overall technical strategy and architectural direction.\n\nDefining engineering patterns and guardrails for AI-assisted development.\n\nEnsuring AI-generated solutions meet production engineering standards.\n\nLeading decisions around application architecture, APIs, integrations, databases, AWS infrastructure, authentication, and deployment.\n\nEvaluating architectural trade-offs based on scalability, security, maintainability, performance, cost, and delivery speed.\n\nProviding technical guidance to engineers and QA.\n\nLeading architecture reviews and technical assessments.\n\nIdentifying technical risks and defining mitigation approaches.\n\nThe role is accountable for key architectural decisions, including:\nAPI and integration architecture.\n\nData storage and modelling.\n\nCloud and infrastructure design.\n\nApplication architecture and codebase organisation.\n\nFramework and platform selection.\n\nAuthentication and access-control approaches.\n\nData migration and reconciliation.\n\nAI-related architecture and engineering controls.\n\nEngineering Excellence\n\nThe AI-Native Solution Architect helps the team transition from a traditional SDLC towards an AI-native Agentic Development Lifecycle.\n\nKey focus areas include:\nAI-assisted engineering practices.\n\nArchitecture and code quality.\n\nSecure development.\n\nAutomated and risk-based testing.\n\nEnd-to-end and synthetic scenario testing.\n\nCI/CD and release controls.\n\nMonitoring and observability.\n\nTechnical documentation and specifications.\n\nCollaboration & Delivery Support\nWorks closely with Project Management, Business Analysis, QA, engineering, and client stakeholders.\n\nResponsibilities include:\nBalancing delivery speed, scope, budget, and technical complexity.\n\nTranslating business and clinical needs into technical solutions.\n\nEstablishing a repeatable process for turning requirements into specifications.\n\nKeeping the team focused on the underlying problem, not recreating legacy functionality.\n\nChallenging unnecessary complexity and historical requirements.\n\nProviding technical leadership to the engineering team.\n\nCommunicating technical trade-offs, dependencies, and risks.\n\nPre-Sales & Solution Design (optional involvement)\nLead architecture reviews, discovery sessions, and technical workshops.\n\nDefine solution architecture, assumptions, constraints, and non-functional requirements.\n\nReview technical findings and validate priority and severity.\n\nEvaluate alternative approaches, including benefits, risks, effort, and cost.\n\nSupport estimation and prioritisation of technical initiatives.\n\nPresent and defend architectural recommendations to the client.\n\nResearch relevant technologies and engineering practices and provide recommendations.\n\nTechnology Office Contribution\n\nThe AI-Native Solution Architect contributes to the evolution of AI-native engineering practices across the organisation.\n\nResponsibilities include:\nSharing lessons learned from implementing ADLC in production.\n\nDefining reusable AI-native engineering practices and guardrails.\n\nEvaluating AI tools and approaches for broader organisational use.\n\nSupporting architecture discussions for strategic initiatives.\n\nSharing knowledge through mentoring, workshops, and internal discussions.\nNice to Have\n\n Experience in Healthcare, HealthTech, FinTech, or another regulated industry.\n\n Experience with UK healthcare or NHS-related systems.\n\n Experience with Python, FastAPI.\n\n Hands-on experience with AWS Bedrock.\n\n Experience with AI/agent frameworks such as LangGraph, vLLM, Ollama, or similar.\n\n Experience with large-scale data migration or legacy modernisation.\n\n Understanding of clinical safety or medical software regulation.","description_format":"text","description_chars":6628,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Ukraine","iso":"UA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Software","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-29T12:21:41Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":28,"reasons":["seen:2","velocity","win:early"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/ralabs-solution-architect-agentic-development-lifecycle","json_url":"https://alion.io/job/ralabs-solution-architect-agentic-development-lifecycle.json","meta":{"generated_at":"2026-10-31T11:32:20Z","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 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