AI Deployment Engineer, Austin

About AurigoAurigo is an AI-native capital program management platform trusted by over 300 customers managing more than $300 billion in capital programs across North America. With over 40,000 projects delivered, Aurigo helps organisations in transportation, water and utilities, healthcare, higher education, and government plan, build, and manage infrastructure with confidence. Recognised as one of the Top 25 AI Companies of 2024 and a Great Place to Work for three consecutive years, we leverage artificial intelligence to create smarter, more connected outcomes. At Aurigo, we don't just build software — we help shape the future of infrastructure.AI Deployment EngineerLocation: United States Work Mode: Remote / Field-Present Employment Type: Full TimeAbout Forward Deployed EngineeringAurigo's central platform team builds the AI agents. Forward Deployed Engineering works alongside agencies to deploy them into production, ensure they perform reliably, and evolve them as customer needs change. The team bridges product innovation and real world operations, turning AI capabilities into measurable outcomes for public infrastructure agencies.As an AI Deployment Engineer, you are the technical core of that mission.Role OverviewAurigo is looking for an AI Deployment Engineer to join its Forward Deployed Engineering team. This is a hands on deployment and integration role, not a model development role. You will lead the technical deployment of AI agents into customer environments, integrating them with enterprise systems, validating their performance, and ensuring they deliver reliable outcomes in production.You will work directly with agency tech teams, business stakeholders, and Aurigo's Product and Engineering teams to solve technical challenges, optimize deployments, and continuously improve how AI is adopted across customer workflows.Every deployment helps shape the playbooks, tooling, and best practices that make future deployments faster, more scalable, and more successful.Travel is a core part of this role as you will regularly work alongside customers during deployment, adoption, and expansion.Key ResponsibilitiesAgent Deployment & IntegrationConfigure and deploy Aurigo AI agents within customer Masterworks environments — tailoring agent behavior, workflows, and outputs to each agency's specific requirementsBuild and maintain data integrations between Masterworks and agency systems: scheduling tools, cost systems, financial management platforms, document management, GIS, and agency data warehousesDevelop scripts and lightweight automation to streamline agency data workflows, reduce manual handoffs, and prepare data for agent consumptionWork with agency IT staff, data stewards, and system administrators to navigate access, permissions, and integration constraints in government technology environmentsTroubleshoot deployment issues in the field — diagnosing root causes, implementing fixes, and documenting solutions for reuse across future deploymentsConfiguration, Monitoring & OutcomesConfigure deployed agents in Aurigo's agent builder — setting workflow logic, prompts, output formats, and thresholds so each agent matches how the agency actually works, in close collaboration with the Agent Designer and domain SMEConnect agents to agency data — build and maintain the integrations and data-preparation steps that feed clean, structured inputs from Masterworks and connected systems into each agentMonitor agents in production — track output quality against the outcomes each agent is contracted to deliver, catch degradation or drift early, and adjust configuration to keep performance on targetDiagnose and resolve deployment and performance issues in the field — identify root causes, implement configuration or integration fixes, and document them for reuse across future deploymentsFeed field learnings back to the central AI platform team — when an agent needs a capability that configuration alone cannot provide, you are the channel that turns that into a product request, so the fix ships once and improves every accountCandidate ProfileBachelor's degree in Computer Science, Engineering, AI, or related field from a premier institution. Master's degree preferred.3+ years in a hands-on technical delivery role — solutions or deployment engineering, systems integration, or implementation engineering — putting software into real production environments where reliability mattersStrong integration and scripting skills: connecting enterprise systems through REST APIs, moving and reshaping data between platforms, and automating data-preparation workflows (Python or comparable)Hands-on comfort configuring and operating modern AI agent or LLM-based tools — prompt and workflow configuration, agent setup, and judging whether outputs are reliable; you do not need to have trained models, you need to be excellent at making already-built agents performExperience working with unstructured and semi-structured data — PDFs, XML exports, structured logs — and preparing it so downstream systems and agents can consume itAbility to work independently in ambiguous field environments — you diagnose and build without waiting for a perfectly scoped ticketPreferred ExperienceExperience monitoring software or model performance in production — spotting drift or degradation and acting on it before it affects the customerExperience with construction, infrastructure, or capital program data — cost codes, schedule structures, contract document formats, or similar domain dataPrior work in a field deployment, systems integration, or technical consulting role — you have built in client environments under real constraintsFamiliarity with agent platforms or retrieval/vector search from a configuration-and-integration standpoint (Pinecone, Weaviate, pgvector, or equivalent)Experience in government or regulated environments — navigating IT procurement, access controls, and security requirementsPublic Trust clearance eligibilityAurigo Software Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.