Senior Strategic Technical Advisor – AI Strategy

🕒 March 4

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ShaeWellness

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2013

Full-Stack, AI-Driven Epigenetic Corporate Wellness Results with the most precise Corporate Health & Mental Wellbeing solution on the market.

📋 Description

• **Core Responsibilities** • **Technology Strategy & Architecture Direction** • - Provide high-level guidance on long-term technology strategy, platform architecture, and scalable system design. • - Advise on modern infrastructure patterns including cloud architectures, distributed systems, APIs, and platform engineering practices. • - Support the evaluation and integration of AI technologies and emerging tools aligned with business objectives. • - Review existing architecture and provide clear strategic recommendations for improvement, scalability, and resilience. • **Strategic Technical Reviews & Deliverables** • Produce high-impact strategic artifacts that support executive and technical decision-making. • This may include: • - Architecture reviews • - Technical evaluation reports • - AI integration strategies • - Threat modeling and risk analysis • - Technology roadmap recommendations • - Reference architecture frameworks • Deliverables should translate complex technical considerations into clear, actionable guidance for leadership teams**.** • **Cross-Functional Collaboration** • - Work with product, engineering, analytics, and operations teams to align technology initiatives with organizational goals. • - Participate in strategic discussions around product innovation, system scalability, and infrastructure planning. • - Support leadership teams in evaluating trade-offs between speed, cost, complexity, and long-term maintainability. • **Strategic Advisory Sessions** • - Facilitate periodic technical strategy reviews, design discussions, and advisory sessions with internal teams and stakeholders. • - Provide independent perspective on critical technology decisions and help prioritize initiatives with the highest long-term impact. • - Engagements may include architecture clinics, roadmap reviews, or advisory consultations with senior leadership. • **Mentorship & Technical Leadership Support** • Provide guidance to internal engineering leaders, architects, and technical leads. • Share best practices across areas such as: • - AI implementation strategies • - Modern architecture patterns • - Scalable platform design • - Security and risk mitigation • - Technical governance frameworks • The goal is to strengthen internal technical leadership while accelerating strategic decision quality.

🎯 Requirements

• **Required Skills & Experience** • - Minimum 10+ years of experience in senior technical leadership roles such as: • - Principal Architect • - CTO / VP Engineering • - Solutions Architect • - AI or Platform Architecture Lead • - Deep expertise in modern software architecture and distributed systems. • - Strong understanding of AI technologies, machine learning systems, and emerging technology ecosystems. • - Demonstrated experience advising or leading large-scale technology initiatives or platform transformations. • - Excellent ability to communicate complex technical ideas in clear, strategic, and actionable terms. • - Experience influencing executive-level decision making within complex technology environments. • - Ability to operate independently in consulting or fractional advisory engagements.

🏖️ Benefits

• **Compensation** • Compensation is structured as consulting or advisory fees, which may be Hourly advisory rates or Monthly strategic retainers,**Project-based engagements aligned with experience, expertise, and strategic impact.