Senior AI Architect

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real content. The posting includes role overview, responsibilities, required qualifications, preferred qualifications, compensation, benefits. No explicit schedule. So we will have sections: About the role (role overview), Responsibilities, Requirements (maybe combine required qualifications?), Qualifications (maybe preferred?), Skills (maybe not explicit), Benefits, Pay. The instruction: use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We need to decide which sections to include based on content. We have role overview (first paragraph). That's About the role. Key Responsibilities list: we can put under Responsibilities. Required Qualifications: under Requirements. Preferred Qualifications: could be under Qualifications (or maybe Skills). Since they said Qualifications as a heading, we can put preferred qualifications there. Skills: not explicitly listed; maybe we can omit. Benefits: present. Pay: compensation range present. Schedule: not present, so omit. We must not repeat job title as heading. No Job ID. We must preserve all substantive information, not invent or summarize away detail. Must not include boilerplate like EEO, legal, application instructions, etc. Must remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. We need to output only HTML fragment, no /, no markdown fences. We'll produce something like:

About the role

... role overview text ...

Responsibilities

• ... each responsibility ...
...

Requirements

• ... each required qualification ...
...

Qualifications

• ... each preferred qualification ...
...

Benefits

• ... each benefit ...
...

Pay

$134,900.00 - $237,300.00 base compensation range (market-competitive salary; actual salaries vary based on experience, qualifications, skills, location; may be eligible for commission or performance-based bonus)

We need to ensure we preserve all substantive information from the posting. Let's extract role overview text: "Be the one building AI-powered experiences where they matter most. At 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. Help 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. Role Overview: The Senior AI Architect, Presales will shape how global enterprises apply AI to customer experience, designing architectures that turn advanced capabilities into reliable, scalable business outcomes. At Genesys, you will guide the technical direction of strategic AI opportunities, helping customers connect Genesys Cloud AI with enterprise data, workflows, knowledge, and broader cloud ecosystems. Operating as a senior presales AI specialist, you will lead solution architecture across self-service, agent assistance, journey management, and back-office automation. Working across LLMs, retrieval-augmented generation (RAG), deterministic workflows, tools, orchestration, enterprise integrations, and agentic AI, you will guide critical decisions involving accuracy, latency, scalability, cost, governance, security, and business risk. You will partner directly with sales and account teams, customers, Professional Services, Product Management, and Engineering to move complex AI opportunities from technical discovery through validation and production pilots. You will influence CIO and CTO stakeholders, connect architecture decisions to enterprise transformation priorities, and help customers create more relevant interactions, improve operational efficiency, and confidently adopt Genesys Cloud AI. Your impact will extend beyond individual customer engagements as you help expand AI expertise across the field and bring customer insight into broader product and go-to-market direction. The role provides exposure to strategic enterprise initiatives, platform-level decisions, and emerging AI capabilities shaping the future of customer experience." We need to preserve all that. We'll put in

maybe multiple paragraphs but we can combine. Responsibilities list: each bullet under "Key Responsibilities:" lines. Let's extract them: - Architect production-ready AI systems for customer experience use cases that combine LLMs, deterministic workflows, tools, orchestration layers, human handoffs, fallback strategies, and failure handling - Design scalable RAG and enterprise knowledge architectures, including strategies for content structuring, chunking, embedding, ranking, and trusted knowledge integration, to improve response accuracy, relevance, and freshness while balancing latency, performance, security, and governance requirements - Establish AI evaluation and observability frameworks that connect accuracy, retrieval quality, tool-call performance, containment, customer satisfaction, safety, drift, cost, and other technical measures to customer and business outcomes - Engineer contextual AI experiences that use real-time customer data, interaction history, conversation state, and external signals to deliver coherent and personalized experiences across channels and touchpoints - Optimize enterprise AI architectures for scalability, voice and digital latency, throughput, reliability, and cost through informed decisions about model selection, caching, context management, and architecture patterns - Drive strategic presales engagements through technical discovery, solution architecture, product demonstrations, sandbox and trial engagements, AI integration guidance, and value assessments that advance enterprise opportunities - Develop and validate AI prototypes through production pilot readiness, partnering with account teams and Professional Services to prove use cases and integrations, validate latency and success criteria, harden architectures, align KPIs, and confirm business outcomes - Demonstrate the value of Genesys Cloud AI by connecting platform capabilities, architecture patterns, integrations, and emerging interoperability approaches, including Model Context Protocol (MCP) and agent-to-agent (A2A), to customer requirements and measurable business outcomes - Scale field capability by developing reusable technical assets, workshops, coaching, and enablement for Solution Consultants, partners, and account teams - Influence AI product and go-to-market direction by translating customer requirements, implementation insights, and field feedback into actionable guidance for Product Management and Engineering We'll put each as

. Requirements (Required Qualifications) list: - 7+ years of relevant experience designing and architecting enterprise AI solutions, with hands-on experience using the appropriate combination of traditional machine learning, NLU and NLP, retrieval-based systems, LLMs, orchestration patterns, tool use, and agentic AI approaches - Demonstrated architectural judgment and ability to make and defend tradeoffs across model selection, latency, cost, explainability, governance, multilingual requirements, security, scalability, and business risk - Deep expertise integrating AI solutions with enterprise platforms, knowledge sources, RESTful APIs, event-driven architectures, identity systems, and broader cloud ecosystems - Strong background designing real-time enterprise solutions that account for voice and digital latency, throughput, secure data access, reliability, fallback paths, failure handling, and system scalability - Demonstrated expertise defining AI evaluation, governance, and observability strategies spanning offline and online testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control - Practical experience with prompt design, context management, RAG, and AI workflow optimization as components of broader production-ready AI architectures - Proven ability to create and deliver compelling technical demonstrations, prototypes, and presentations that connect complex architecture decisions to customer and business value - Demonstrated success partnering with sales teams on technical discovery and AI-focused solution design, with strong business judgment in identifying opportunities to improve customer outcomes, operational efficiency, and enterprise processes - Strong executive communication, storytelling, and presence, with demonstrated ability to influence CIO, CTO, and senior technical stakeholders We'll put each as

. Qualifications (Preferred Qualifications) list: - Strong understanding of Genesys Cloud and Genesys AI capabilities - Experience designing AI solutions for customer experience orchestration, contact centers, self-service, agent assistance, journey management, or back-office automation - Experience creating reusable technical assets and enablement that scale AI expertise across solution consulting, partner, sales engineering, or related field organizations - Experience partnering with Product Management and Engineering to translate customer and field insights into product or platform improvements We'll put each as

. Benefits list: from "Benefits:" section: - Medical, Dental, and Vision Insurance. - Telehealth coverage - Flexible work schedules and work from home opportunities - Development and career growth opportunities - Open Time Off in addition to 10 paid holidays - 401(k) matching program - Adoption Assistance - Fertility treatments - Click here to view a summary overview of our Benefits. (This is a link; we might drop as it's instruction/link; but it's part of benefits? It's a link to view summary; could be considered boilerplate? It's not a benefit per se; but it's referencing benefits. Might be considered navigation; but it's part of benefits block. The instruction says remove application instructions, cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines. This is a link to view benefits summary; could be considered navigation. Safer to omit that line. Also later there is a paragraph "Working at Genesys AI 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 A 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 Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support Time 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 Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report." These are more marketing fluff; but they contain some benefits info like paid volunteer time, August Free Fridays, well-being resources, regionally tailored programs. However they are not under a Benefits heading; they are after "Benefits:" but before "What Happens After You Apply". The instruction says remove boilerplate, duplicated lines, and application instructions. This seems like marketing fluff but could be considered part of benefits? It's not strictly benefits but some are benefits (paid volunteer time, August Free Fridays, well-being resources). However they are not listed as bullet points; they are prose. The instruction says preserve ALL substantive information; do NOT invent or summarize away detail. So we should include that info if it's substantive. However it's not under a specific heading; but we could incorporate into Benefits section as additional bullet points or prose. The instruction says use

• for any list of duties/requirements/benefits, and

  for prose. So we could turn those into list items. But we need to decide whether to include them. They are substantive: "paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families". Also "150+ new AI features were released in the last fiscal year" is more about company; not a benefit. "flexible-first culture" etc. Might be considered fluff but still substantive. However the instruction says prefer a few substantive sections over many thin ones. We already have Benefits section with list; we could add these as additional list items. But we need to avoid duplication: we already have "Flexible work schedules and work from home opportunities". The "flexible-first culture" is similar but we could keep. Let's extract the benefits paragraph after "Benefits:" up to before "Click here to view a summary overview of our Benefits." Actually the text: "Benefits: Medical, Dental, and Vision