{"id":2372851,"url":"https://alion.io/job/tyler-technologies-product-analyst-ai-solutions","title":"Product Analyst, AI Solutions","company":{"id":179690,"name":"Tyler Technologies","domain":"tyler.com","url":"https://alion.io/company/tyler-technologies","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jobvite","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":8,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agile","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JavaScript","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"PEFT","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-12T17:56:19Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-22T12:22:29Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Description\nProduct Analyst, AI Solutions\nThe Product Analyst, AI Solutions is responsible for shaping, optimizing, and maintaining advanced AI-driven features and user experiences within our product suite. This role sits at the intersection of business analysis, AI tuning, and user experience-combining expertise in software requirements gathering, prompt engineering, and AI model evaluation. The Analyst is heavily focused on refining how AI systems behave in real-world scenarios, ensuring outputs are accurate, trustworthy, and closely aligned with client needs.\nYou partner with AI Engineers, Product Managers, UX/UI Designers, QA, and Subject Matter Experts (SMEs) to extract user requirements, translate those into actionable User Stories and evaluation metrics, and continuously tune AI systems for best-in-class performance and usability.\nThis role is pivotal in ensuring our AI solutions provide maximum business value, aligning advanced technology with end-user needs while driving continuous improvement and reliability. The Analyst produces high-quality deliverables using systematic processes, with impact across multiple projects, deadlines, and teams.\nPrincipal Duties\nAI Tuning & Output Quality\nDesign, evaluate, and refine prompts, templates, and conversation flows for reliability, cost effectiveness, and user alignment.\nMaintain prompt libraries, track changes, and manage versioning.\nSystematically test AI model outputs for accuracy, consistency, compliance, and tone, applying rerankers, guardrails, and validation layers to ensure business rules are met.\nCollaborate with engineering and QA to promptly integrate feedback and resolve model drift or new scenarios.\nRequirements Gathering & Documentation\nProactively gather requirements of moderate scope and complexity from diverse sources (clients, market analysis, SMEs) to drive product development and AI enhancements.\nDocument software and system requirements, including user stories, program functions, test cases, and steps required for new features or modifications.\nEnsure all documentation supports future maintainability and growth of AI-enabled features.\nEvaluation, Metrics, & Continuous Improvement\nEstablish systematic evaluation frameworks for AI model outputs, leveraging quantitative and qualitative benchmarks.\nRun experiments, A/B tests, and structured evaluations to compare tuning strategies and track performance metrics (accuracy, coverage, hallucination rates, latency).\nTranslate business and user feedback into actionable improvements, owning continuous iteration for released solutions.\nCollaboration & UX Alignment\nAct as a bridge between technical and non-technical stakeholders, ensuring clear, effective communication and alignment.\nWork closely with product, development, and UX/UI teams to ensure AI-driven features fit seamlessly into business workflows, are intuitive and user-friendly, and meet client needs.\nHelp shape the overall user experience for AI interactions, promoting explainability and transparency.\nEducation, Experience and Special Skills\nBachelor’s degree in Computer Science, Management Information Science, Business, or related field OR equivalent work experience.\n1+ years’ experience in software, AI/ML, or related product analysis roles.\nExperience with AI/ML applications (LLMs, NLP, machine learning pipelines).\nStrong understanding of prompt engineering and generative AI interaction design.\nBasic knowledge of data modeling, relational database concepts, and SQL.\nFamiliarity with model evaluation techniques and performance metrics.\nProficiency with Python or JavaScript for prototyping and evaluation.\nExperience with Agile SCRUM development processes.\nExcellent planning, organization, and interpersonal communication skills.\nAbility to work independently and collaboratively across functional groups.\nExperience in ERP systems, enterprise software, or complex business domains.\nFamiliarity with RAG (retrieval-augmented generation), embeddings, MLOps, and 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