{"id":3980603,"url":"https://alion.io/job/pdi-technologies-software-architect","title":"Software Architect","company":{"id":7295,"name":"PDI Technologies","domain":"pditechnologies.com","url":"https://alion.io/company/pditechnologies","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":80,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Function Calling","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OWASP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Fine-tuning","optional":true},{"name":"GDPR","optional":true},{"name":"JavaScript","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"PCI DSS","optional":true},{"name":"SOC 2","optional":true}],"status":"live","first_seen_at":"2026-11-09T19:18:38Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T19:35:44Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We’re looking for a Software Architect who wants to do more than design systems on a whiteboard. This is a hands-on role for someone who enjoys setting technical direction and writing the code that brings that direction to life.\nYou’ll own the architecture of enterprise applications, including how services are designed, how data flows, how systems integrate, and how applications scale securely and reliably. You’ll also help shape how AI becomes part of our products, building solutions that combine traditional software architecture with LLM-powered capabilities and intelligent agents.\nThis role is ideal for an experienced architect, technical lead, or senior engineer who still loves to build and wants meaningful influence over both architecture and execution.\nWhat You'll Do\nDesign and Build\nOwn application architecture across services, APIs, identity, data access, and integrations.\nWrite production code regularly across back-end services, APIs, and front-end applications.\nBuild new services and features from initial design through deployment and production support.\nDesign scalable, reliable, secure, and multi-tenant applications.\nCreate prototypes and proofs of concept, then turn the strongest ideas into production-ready solutions.\nHelp modernize legacy applications toward cloud-native architectures while maintaining ongoing product delivery. \nBuild AI into the Product\nDevelop AI-powered capabilities using LLMs, retrieval-augmented generation (RAG), tool calling, and agents.\nDesign APIs and application capabilities that can be securely used by AI agents, including through protocols such as MCP.\nImplement evaluation, guardrails, and cost monitoring to ensure AI features are reliable, safe, and sustainable in production.\nHelp determine where AI adds meaningful value and where traditional software solutions are the better approach. \nRaise the Engineering Bar\nReview code, pair with engineers, and help solve complex technical problems.\nEstablish strong engineering practices around automated testing, observability, security, performance, and resilience.\nUse modern AI-assisted development tools to improve engineering productivity and quality.\nCreate architecture decision records and reference implementations that engineering teams can put into practice.\nPartner closely with Product, UX, QA, Security, and DevOps to turn business goals into scalable technical solutions.\nWhat We're Looking For\n8+ years of software development experience, including 2+ years in an architect, technical lead, or senior engineering role with ownership of system design.\nStrong hands-on development skills and recent experience contributing production code.\nExperience designing and operating multi-tenant SaaS or enterprise applications.\nExperience building AI-powered features using LLMs, ideally including RAG, agents, tool/function calling, or structured outputs.\nDeep expertise in at least one modern development language such as C#/.NET, Java, TypeScript, or Python, with working knowledge of another.\nExperience with modern front-end frameworks such as React or Angular.Strong knowledge of microservices, event-driven architecture, domain-driven design, and API design.\nExperience with Azure or AWS, containers, Kubernetes, and/or serverless architectures.\nKnowledge of SQL and NoSQL data design, messaging platforms such as Kafka or Service Bus, and caching strategies.\nUnderstanding of modern identity and application security, including OAuth 2.0/OIDC, RBAC, OWASP practices, and secure handling of data used with AI models.\nExperience with CI/CD, infrastructure as code, observability, automated testing, and performance optimization.\nHow You Work\nYou’re an architect who likes to stay close to the technology. You can move from an architecture discussion to a pull request, explain complex technical trade-offs to both engineers and business partners, and help teams turn good ideas into working software.\nYou’re also comfortable using AI development tools such as GitHub Copilot, Claude Code, Cursor, or similar tools as part of your everyday engineering workflow, while knowing when AI is useful and when a simpler deterministic solution is the better choice.\nNice to Have\nExperience with multi-agent orchestration or AI evaluation pipelines.\nExperience with fine-tuning or open-weight/smaller language models.\nExperience modernizing legacy or acquired products into a more unified platform.\nExperience working in PCI DSS, SOC 2, or GDPR environments.\nBackground in retail, payments, loyalty, or supply chain software.\nRelevant certifications such as Azure Solutions Architect, Azure AI Engineer, or AWS Solutions 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