AI Architect at Daxko

Birmingham, Alabama, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

198100.0

Posted On

04 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Architecture, Cloud-Native Tools, MLOps Pipelines, Model Deployment, AI Governance, Strategic Thinking, Collaboration, Communication, Ethical AI, Innovation, Data Pipelines, APIs, Model Lifecycle Processes, Reinforcement Learning, LLMs, Edge AI

Industry

Software Development

Description

Company Description Daxko powers wellness to improve lives. Every day our team members focus their passion and expertise in helping health & wellness facilities operate efficiently and engage their members. Whether a neighborhood yoga studio, a national franchise with locations in every city, a YMCA or JCC--and every type of organization in between--we build solutions that make every aspect of running and being a member of a health and wellness organization easier and delightful. Job Description Are you passionate about building intelligent, scalable AI systems that make a real impact? As an AI Architect, you’ll be the company’s go-to expert for all things artificial intelligence — defining our vision, leading architectural strategy, and ensuring AI is seamlessly integrated into every product and platform we build. You’ll work at the intersection of innovation and execution, partnering closely with Product, Engineering, Data, and Security teams to turn advanced AI technologies into business value. From developing architecture blueprints to guiding implementation and governance, this role is both hands-on and strategic — ideal for someone ready to drive meaningful transformation across the organization. What You’ll Do Set the Vision: Define and maintain the company-wide AI architecture blueprint and roadmap to power automation, personalization, analytics, and intelligent decision-making. Establish Best Practices: Create and maintain AI development standards, model lifecycle processes, and governance frameworks to ensure scalability, fairness, and compliance. Drive Strategy: Partner with leadership to evaluate emerging AI technologies, frameworks, and vendors — shaping how we leverage everything from LLMs and vector databases to orchestration tools. Enable Reusability: Architect modular, reusable AI components and services that streamline development across multiple product lines. Collaborate & Build: Work with cross-functional teams to design secure, cloud-native AI services, APIs, and data pipelines. Champion Governance: Define AI model observability, auditability, and ethical use standards in partnership with InfoSec and Legal teams. Innovate & Educate: Lead internal workshops, mentor teams, and serve as an evangelist for AI adoption across the company. Represent & Inspire: Engage with external AI communities, vendors, and conferences to showcase our innovation and learn from the broader ecosystem. Qualifications What You Bring: Education & Experience Bachelor’s degree in Computer Science, Data Science, or related field (Master’s preferred). 8+ years in software engineering, architecture, or data science. 3+ years designing and implementing enterprise-scale AI or ML systems. Technical Expertise Proven experience architecting AI solutions using cloud-native tools (AWS SageMaker, Azure AI, OpenAI API, LangChain, etc.). Deep understanding of LLMs, embeddings, model orchestration, reinforcement learning, and multimodal AI. Strong grasp of AI governance frameworks (NIST AI RMF, GDPR, SOC 2, PCI 4.0). Experience building MLOps pipelines and scalable model deployment systems. Familiarity with edge AI or real-time inference systems (TensorRT, ONNX, NVIDIA Jetson) a plus. Soft Skills Excellent communicator and collaborator who can bridge technical and non-technical teams. Strategic thinker who balances innovation with practicality. Lifelong learner passionate about exploring new tools and methodologies. Key Competencies Strategic Thinking & Vision Deep Technical Expertise in AI/ML System Architecture & Integration Vendor Evaluation & Management Communication & Influence Governance & Ethical AI Continuous Innovation & Learning How Success Will Be Measured Adoption of standardized AI frameworks and practices Reduction in duplicated AI development efforts Successful rollout of embedded AI features on time Compliance with governance and data privacy standards Internal adoption and engagement with AI initiatives Additional Information The pay range for this role is $127,100 - $198,100 salary per year. Where you fall within the pay range is based on how you demonstrate the attributes and competencies required for the role. We mostly reserve the upper half of our compensation bands for internal growth. In addition to base salary, we offer a comprehensive benefits package, performance-based incentives, and opportunities for growth. #LI-Remote Daxko is dedicated to pursuing and hiring a diverse workforce. We are committed to diversity in the broadest sense, including thought and perspective, age, ability, nationality, ethnicity, orientation, and gender. The skills, perspectives, ideas, and experiences of all of our team members contribute to the vitality and success of our purpose and values. We truly care for our team members, and this is reflected through our offices, and benefits, and great perks. These perks are only for our full-time team members. Some of our favorites include: 🏝 Flexible paid time off ⚕️ Affordable health, dental, and vision insurance options 💪 Monthly fitness reimbursement 🤑 401(k) matching 🍼 New-Parent Paid Leave 👖 Casual work environments 🏡 Remote work All your information will be kept confidential according to EEO guidelines.

Responsibilities

As an AI Architect, you will define the company's AI architecture blueprint and lead the integration of AI into products and platforms. You will collaborate with various teams to ensure the development of scalable and ethical AI solutions.