Technical Lead & Solution Architect

Svitla Systems Inc. is looking for a hands-on Technical Lead & Solution Architect to become the technical authority on OutSystems projects, delivered in partnership with OutSystems Professional Services.

In this role, you’ll own solution architecture, lead a team of Svitla developers, and work as one team with OutSystems Professional Services architects on customer projects. AI is at the heart of this position: you’ll architect AI and agentic capabilities into enterprise applications, decide what belongs in the platform and what belongs in dedicated AI services, and share your AI architecture expertise with the OutSystems team.

Engagement: Full-time

US citizenship required. Active US security/secret clearance, or the ability to obtain and maintain one

Requirements

• 15+ years of professional experience in software engineering, solution architecture, and technical leadership.
• Several years of experience as a consultant at a consulting or IT services firm, delivering client-facing engagements for multiple customers.
• Proven experience architecting AI and GenAI solutions delivered into production.
• Design of LLM-powered applications, agents, and enterprise AI workflows, including orchestration, tool calling, and human approvals.
• RAG architecture: embeddings, vector search, chunking and retrieval strategy, and secure knowledge retrieval.
• Model selection, prompt and context management, structured outputs, and fallback strategies across providers such as Azure OpenAI, OpenAI, and AWS Bedrock.
• Evaluation, testing, monitoring, and tracing of AI systems in production, as well as AI guardrails and defenses against prompt injection and data exposure.
• Sound judgment about when deterministic software is preferable to AI.
• Significant experience architecting enterprise web and mobile applications.
• Experience leading development teams, including code reviews, engineering standards, and mentoring.
• Hands-on development in one or more of C#/.NET, Java, Python, or TypeScript.
• Strong knowledge of REST APIs, event-driven integration, and enterprise integration patterns.
• SQL, relational data modeling, and performance optimization.
• Application security: OAuth 2.0, OpenID Connect, SAML, and OWASP practices.
• Cloud architecture on AWS or Microsoft Azure.
• Fluent professional English, written and spoken.

Will be a plus

• Architecture or technical leadership on enterprise low-code platforms such as Microsoft Power Platform, Mendix, Appian, ServiceNow App Engine, Salesforce Platform, or Pega.
• Understanding of how low-code changes delivery: faster prototyping, model-driven development, and the trade-offs between platform features and custom code.
• Any exposure to OutSystems 11 (O11) or OutSystems Developer Cloud (ODC).
• Experience with LangChain, LangGraph, Semantic Kernel, or comparable orchestration frameworks.
• Model Context Protocol (MCP) servers, clients, and tool integration patterns.
• Vector databases such as Azure AI Search, OpenSearch, or PostgreSQL pgvector.
• DevSecOps, infrastructure as code, Docker, and Kubernetes.
• AWS or Azure architecture certifications, or AI engineering certifications.
• Experience in regulated industries such as financial services, insurance, healthcare, or government.
• Degree in Computer Science, Software Engineering, or a related field, or equivalent experience.

Responsibilities

Solution architecture

• Own the architecture of OutSystems solutions on O11 and ODC once trained.
• Design modular, maintainable applications using OutSystems architecture practices such as the Architecture Canvas.
• Design integrations with enterprise systems, APIs, and data sources.
• Define data models, security, performance, scalability, and other non-functional requirements, and document architecture decisions.

AI and agentic architecture

• Architect AI capabilities into applications, including LLM integration, agents, tool calling, and RAG.
• Combine deterministic application logic with AI where each fits best.
• Design evaluation, guardrails, human-in-the-loop controls, monitoring, and tracing for AI features.
• Assess OutSystems AI capabilities, such as Mentor and AI Agent Workbench, against external AI services and orchestration frameworks.
• Manage AI risks, including prompt injection, data exposure, reliability, latency, and cost.

Technical leadership and delivery

• Lead and mentor developers, set engineering standards, and review code.
• Translate architecture into clear work packages, estimates, and technical priorities.
• Work with the Engagement Manager on planning, risks, dependencies, and scope.
• Own the deployment and lifecycle approach, including environments and CI/CD.
• Define the testing strategy, including automated testing and evaluation of AI features.
• Troubleshoot complex performance and production issues, and explain technical trade-offs to customer executives.

Knowledge sharing

• Learn OutSystems architecture best practices from OutSystems Professional Services architects.
• Share AI architecture patterns, reference designs, and reusable components.
• Run knowledge-sharing sessions on AI architecture and AI-assisted engineering.

OutSystems training you’ll receive

• OutSystems development on O11 and ODC, leading to developer certification.
• OutSystems architecture: the Architecture Canvas, modularity, and Architecture Dashboard.
• Integration and custom code: Integration Studio in O11 and external logic in ODC.
• Lifecycle management with LifeTime and the ODC Portal.
• OutSystems AI capabilities, such as Mentor and AI Agent Workbench.
• A path to OutSystems architecture certification.