{"id":3532496,"url":"https://alion.io/job/svitla-systems-seniorprincipal-technical-lead-and-solution-architect","title":"Senior/Principal Technical Lead and Solution Architect","company":{"id":2216,"name":"Svitla Systems","domain":"svitla.com","url":"https://alion.io/company/svitla-systems","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":84,"open_postings":11,"ghost_share":0,"stale_share":0.636,"repost_share":0,"time_to_fill_p50_days":43,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Solutions","role_family":"Solutions","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"US time zones","utc_offset_min":-8,"utc_offset_max":-5},"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US","MX"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":110000,"max_usd":237000,"period":"year","method":"global_role_seniority_cell","sample_n":955},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenSearch","optional":false},{"name":"OWASP","optional":false},{"name":"pgvector","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"ServiceNow","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-30T13:04:39Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-04T16:39:25Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Svitla Systems Inc., is looking for a Senior/Principal Technical Lead and Solution Architec t for a full-time position in Mexico.\nYou will own solution architecture, lead the Svitla developers on the team, and work alongside OutSystems Professional Services architects.\nThis role is part of a dedicated Svitla team engaged under a 12-month agreement to deliver OutSystems projects for customers, working as one team with our client’s Professional Services consultants and typically aligned to US business hours. Knowledge sharing runs both ways: you will learn OutSystems delivery practices directly from our client’s team, and you will share your own knowledge and experience with them, in particular in AI.\nAI experience is very important for this role. You will architect AI and agentic capabilities into enterprise applications, decide what belongs in the platform and what belongs in dedicated AI services, and share AI architecture patterns with OutSystems Professional Services.\nPrior OutSystems experience is not required. We will provide structured training and certification at the start of the engagement, covering OutSystems 11 (O11) and OutSystems Developer Cloud (ODC) development, architecture, integration, lifecycle management, and OutSystems AI capabilities, followed by hands-on learning on live projects. Experience with other low-code platforms is of great benefit but is not mandatory.\nRequirements\nProven experience architecting AI and GenAI solutions delivered into production.\nExperience designing LLM-powered applications, agents, and enterprise AI workflows, including orchestration, tool calling, and human approvals.\nExperience with RAG architecture: embeddings, vector search, chunking and retrieval strategy, and secure knowledge retrieval.\nExperience with model selection, prompt and context management, structured outputs, and fallback strategies across providers such as Azure OpenAI, OpenAI, and AWS Bedrock.\nExperience with evaluation, testing, monitoring, and tracing of AI systems in production.\nExperience with AI guardrails, authorization, and defenses against prompt injection and data exposure.\nJudgment about when deterministic software is preferable to AI.\nSignificant experience architecting enterprise web and mobile applications.\nExperience leading development teams, including code reviews, standards, and mentoring.\nHands-on development experience in one or more of C#/.NET, Java, Python, or TypeScript.\nExperience with REST APIs, event-driven integration, and enterprise integration patterns.\nExperience with SQL, relational data modeling, and performance optimization.\nExperience with application security, OAuth 2.0, OpenID Connect, SAML, and OWASP practices.\nExperience with cloud architecture on AWS or Microsoft Azure.\nEnd-to-end ownership of the technical solution and its outcome.\nHands-on technical leadership: willingness to design, code, review, and troubleshoot.\nSound AI engineering judgment without unnecessary complexity.\nClear communication with executives, architects, and developers.\nFast learning: the ability to become productive on new platforms quickly.\nCollaboration across company boundaries, working as one team with our client’s Professional Services team.\nFluent professional English, written and spoken.\nBased in Mexico, with the ability to work US business hours.\nWill be a plus\nArchitecture or technical leadership experience on one or more enterprise low-code platforms, such as Microsoft Power Platform, Mendix, Appian, ServiceNow App Engine, Salesforce Platform, or Pega.\nUnderstanding of how low-code changes delivery: faster prototyping, model-driven development, and the trade-offs between platform features and custom code.\nAny prior exposure to OutSystems 11 (O11) or OutSystems Developer Cloud (ODC).\nExperience with LangChain, LangGraph, Semantic Kernel, or comparable orchestration frameworks.\nExperience with Model Context Protocol (MCP) servers, clients, and tool integration patterns.\nExperience with vector databases, such as Azure AI Search, OpenSearch, or PostgreSQL pgvector.\nExperience with DevSecOps, infrastructure as code, Docker, and Kubernetes.\nExperience in regulated industries, such as financial services, insurance, healthcare, or government.\nAWS or Azure architecture certifications, or cloud architecture or AI engineering certifications.\nDegree in Computer Science, Software Engineering, or a related field, or equivalent experience.\nResponsibilities\nOwn the architecture of OutSystems solutions on O11 and ODC once trained.\nDesign modular, maintainable applications using OutSystems architecture practices, such as the Architecture Canvas.\nDesign integrations with enterprise systems, APIs, and data sources.\nDefine data models, security, performance, scalability, and other non-functional requirements.\nDocument architecture decisions and the reasoning behind them.\nArchitect AI capabilities into applications: LLM integration, agents, tool calling, and retrieval-augmented generation (RAG).\nCombine deterministic application logic with AI where each fits best.\nDesign evaluation, guardrails, human-in-the-loop controls, monitoring, and tracing for AI features.\nAssess OutSystems AI capabilities, such as Mentor and AI Agent Workbench, against external AI services and orchestration frameworks.\nManage AI risks, including prompt injection, data exposure, reliability, latency, and cost.\nLead and mentor developers, set engineering standards, and review code.\nTranslate architecture into clear work packages, estimates, and technical priorities.\nWork with the Engagement Manager on planning, risks, dependencies, and scope.\nRemove technical blockers and make timely technical decisions.\nOwn the deployment and lifecycle approach, including environments and CI/CD.\nDefine the testing strategy, including automated testing and evaluation of AI features.\nTroubleshoot complex performance and production issues.\nExplain technical trade-offs clearly to customer executives and stakeholders.\nLearn OutSystems architecture best practices from our client’s Professional Services architects.\nShare AI architecture patterns, reference designs, and reusable components.\nRun technical knowledge-sharing sessions on AI architecture and AI-assisted 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