{"id":1927117,"url":"https://alion.io/job/genesys-lead-ai-solutions-architect","title":"Lead AI Solutions Architect","company":{"id":660,"name":"Genesys","domain":"genesys.com","url":"https://alion.io/company/genesys","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":96,"open_postings":43,"ghost_share":0.023,"stale_share":0.256,"repost_share":0.093,"time_to_fill_p50_days":18,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Solutions","role_family":"Solutions","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":125000,"max_usd":261000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":556},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Node JS","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-05T20:23:22Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-18T20:34:03Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"Be the one building AI-powered experiences where they matter most.\nAt Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.\nHelp build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day.\nGenesys is seeking a hands-on Conversational AI Engineer to build, optimize, and continuously improve Virtual Agents and Agentic Virtual Agents on Genesys Cloud. In this role, you will combine NLU development, prompt engineering, data analysis, and customer collaboration to improve the reliability and effectiveness of automated customer experiences in production.\nYou will work deeply with real-world conversation data, iteratively refining NLU models and LLM prompts while partnering with customers and cross-functional teams to translate business requirements into measurable improvements. This is an opportunity to directly influence how AI-powered experiences perform at scale while embracing empathy, collaborating across teams, and thinking big about the future of conversational AI.\nKey Responsibilities\nAgentic Virtual Agent Configuration and Tuning\nDesign and develop prompts for Agentic Virtual Agents that drive reliable task completion and high-quality customer experiences.\nStructure prompts to support appropriate grounding, tool and API usage, orchestration, and response consistency.\nAnalyze failures in LLM-driven interactions and identify root causes across prompts, orchestration, data, and system behavior.\nRefine prompts iteratively to improve reliability, edge-case handling, task completion, and user experience.\nEvaluate end-to-end performance across NLU and LLM layers and implement data-driven optimizations.\nEstablish and apply evaluation frameworks and test methodologies that support continuous improvement of agentic systems.\nNLU Development\nDesign and build NLU models, including intents, entities, and utterances, that reflect real user behavior and business requirements.\nDefine scalable intent taxonomies and entity structures that support model accuracy, maintainability, and future growth.\nCreate and curate high-quality training data to improve model coverage, precision, and accuracy.\nTranslate customer requirements and conversation patterns into effective conversational AI designs.\nNLU Analysis and Optimization\nAnalyze production conversation logs to identify misclassifications, false positives, coverage gaps, and edge cases.\nOptimize post-launch NLU performance through updates to training data, intent structures, and entity recognition.\nDevelop and execute scripts that support analysis, evaluation, and efficient implementation of NLU model improvements.\nMeasure and track NLU performance using defined evaluation metrics, test sets, and production data.\nCommunicate performance findings, recommendations, and measurable improvements to customers and internal stakeholders.\nQualifications\nBring a master's degree in Computer Science, Data Science, Machine Learning, or a related technical field.\nDemonstrate 3 to 5 years of experience working with conversational AI, generative AI, NLU, NLP, or related language technologies.\nApply Python and Node.js experience to data preparation, analysis, evaluation, automation, and model tuning.\nDemonstrate experience working with Genesys Cloud, another CCaaS platform, or a conversational AI platform.\nApply hands-on experience developing, evaluating, or optimizing NLU models and LLM-based conversational experiences.\nAnalyze complex conversational AI performance issues and translate findings into actionable improvements.\nPresent technical findings, recommendations, and performance results clearly to customers and stakeholders.\nWork independently while collaborating effectively with engineering, product, customer-facing, and other cross-functional teams.\nPreferred Qualifications\nBring hands-on experience with prompt engineering and evaluation techniques for LLM-powered or agentic AI systems.\nDemonstrate experience analyzing production conversation data and improving post-launch conversational AI performance.\nApply experience with evaluation frameworks, test-set development, experimentation, or performance measurement for AI systems.\nCommunicate professionally in Spanish in addition to English\nCompensation:\nThis role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.\n$110,600.00 - $194,400.00Benefits:\nMedical, Dental, and Vision Insurance.\n\nTelehealth coverage\n\nFlexible work schedules and work from home opportunities\n\nDevelopment and career growth opportunities\n\nOpen Time Off in addition to 10 paid holidays\n\n401(k) matching program\n\nAdoption Assistance\n\nFertility treatments\n\nClick here to view a summary overview of our Benefits.\nWorking at Genesys\nAI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.\nA flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.\nGrowth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support.\nTime to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.\nRecognized globally - Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.\nLearn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.\nWhat Happens After You Apply\nAfter you apply, here's what you can typically expect:\nOur Talent Acquisition team reviews your application with the hiring team.\nA Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. \nNext, you'll meet the hiring manager and other members of the interview team.\nWe aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.\nAfter interviews are complete, our team will follow up with the final steps.\nEvery application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.\nStay Connected\nStay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.\nGet notified about relevant opportunities.\nBe the one building what's next - where AI, experience and impact come together.\nEmployee Referral\nIf a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.\nAbout Genesys:\nGenesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud™ is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.ai.\nReasonable Accommodations:\nIf you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us .\nYou can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.\nThis email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response.\nGenesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.\nPlease note that recruiters will never ask for sensitive personal or financial information during the application phase.","description_format":"text","description_chars":9058,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"Spanish","level":"All levels","optional":true}]},"benefits":["Flexible schedule","Growth opportunities","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Professional Services","Unified Communications","AI Agents"],"lifecycle":[{"event":"open","at":"2026-10-05T20:23:22Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.798,"p_room":0.75,"age_days":13,"expected_fill_days":18,"reasons":["conf:9","velocity","win:late","comp:brand"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/genesys-lead-ai-solutions-architect","json_url":"https://alion.io/job/genesys-lead-ai-solutions-architect.json","meta":{"generated_at":"2026-10-19T11:50:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8475,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":660},"rest":"https://alion.io/mcp/rest/get_company?id=660"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgenesys-lead-ai-solutions-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgenesys-lead-ai-solutions-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgenesys-lead-ai-solutions-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/genesys-lead-ai-solutions-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgenesys-lead-ai-solutions-architect"}]}