Senior Conversational AI Solutions Architect & Strategist

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are seeking a highly experienced Senior Conversational AI Solutions Architect & Strategist to lead the assessment and strategic definition for a mission-critical, next-generation AI product line. You will drive a definitive recommendation on the "how" and "if" of building a core AI Receptionist solution, defining both the optimal microservice architecture and the successful Go-to-Market (GTM) strategy. This role requires a unique blend of deep expertise in modern Conversational AI technologies (e.g., LLMs, NLU, TTS) and a strong business acumen to architect a winning solution blueprint and roadmap. Responsibilities: • Lead Strategic Assessment: Conduct a comprehensive assessment to deliver a definitive recommendation on an "all-in build" versus an "Integrator-Architect" hybrid model for core AI components. • Microservice Architecture Definition: Perform a detailed "build-vs-partner" analysis for key microservices, including Intent Recognition, Task-Oriented Actions, Real-time Sentiment Analysis, and branded Voice/Language Services. • Cloud Strategy & Analysis: Conduct a comparative analysis of primary cloud providers (GCP, AWS, Azure) to recommend the optimal platform for hosting specialized, low-latency AI and conversational workloads. • Platform Integration: Define the API-first architecture and integration plan required for the AI to execute external actions (e.g., CRM updates, Directory Integration, presence routing). • Architectural Gap Analysis: Identify core architectural changes needed within existing platform infrastructure to meet the real-time, low-latency demands of the new AI product. • Product & GTM Strategy: Define the market fit, conduct User and Buyer Persona Analysis (including white-label reseller models), and propose the final packaging and pricing strategy (e.g., "AI-Premium" SKUs). • Executive Deliverables: Synthesize all findings into a comprehensive report, including a Microservice Architecture Blueprint, a detailed "Build vs. Partner" decision matrix, and a clear, phased 18-month strategic roadmap. • Stakeholder Management: Plan and lead high-level kickoff meetings, detailed technical workshops, and executive roadmap presentations. Qualifications • 5+ years of experience in Solutions Architecture, Technical Strategy, or Management Consulting focused on cutting-edge software products. • Expertise in Conversational AI: Deep understanding of the architectural components required for modern AI Agents, including Intent Recognition, multi-turn dialogue management, and real-time voice services (TTS/ASR). • Architecture Design: Proven experience defining and detailing microservice architectures, including API integration strategies (A2A/API-first) and managing complex, distributed systems. • Cloud Agnostic Strategy: Experience conducting comparative analysis and making formal recommendations on optimal cloud infrastructure (e.g., based on specialized AI services available in GCP, AWS, or Azure). • Product Strategy: Experience defining market fit, conducting persona analysis, and contributing to GTM, packaging, and pricing strategies for new technology products. • Communication: Exceptional ability to synthesize complex technical findings into clear, executive-level presentations, reports, and roadmaps. • Experience leading technical assessment workshops and interviewing key business stakeholders. Nice-to-Have Qualifications: • Direct experience with or knowledge of the architectural components used in the current AI Agent stack (e.g., LangChain, real-time voice and synthesis APIs). • Background in Unified Communications (UCaaS), Contact Center (CCaaS), or enterprise telephony/call routing systems. • Experience structuring product offerings for a reseller/Managed Service Provider (MSP) channel model. • Familiarity with the technical challenges of real-time language translation or voice cloning. Additional Information We offer: • Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. • Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. • Work From Anywhere Culture: make the most of the flexibility that comes with remote work. • Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. • Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. • Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. • Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. • Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. 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