Application Architect

Shyft6•New York, NY

1d•Remote

About The Position

We are seeking an experienced Application Architect to design and lead the development of scalable, AI-driven solutions for our client-facing applications. This role will be instrumental in shaping modern architectures across cloud platforms, data ecosystems, and business intelligence tools. The ideal candidate brings a strong background in cloud architecture (AWS and Azure), data platforms, and AI/ML integration, along with experience building solutions that integrate with CRM systems such as DealCloud.

Requirements

7+ years of experience in application architecture or solution architecture roles
Strong hands-on experience with AWS and/or Microsoft Azure cloud platforms
Experience designing systems that integrate with data visualization tools such as Tableau and Power BI
Proven experience building enterprise-level applications and distributed systems
Strong understanding of data architecture, ETL processes, and API integrations
Experience working with or integrating CRM platforms (DealCloud or similar)
Knowledge of AI/ML concepts and frameworks (e.g., model integration, data pipelines, inference services)
Proficiency in modern programming languages (e.g., Python, Java, or .NET)
Experience with microservices architecture and RESTful APIs

Nice To Haves

Strong ability to bridge business needs and technical solutions
Excellent communication and stakeholder management skills
Strategic thinker with a hands-on, solution-oriented mindset
Ability to work in a fast-paced, evolving AI-driven environment

Responsibilities

Lead the architecture, design, and development of AI-enabled applications and platforms
Define scalable, secure, and high-performing solutions across AWS and Azure environments
Partner with data teams to design architectures that leverage Tableau and Power BI for analytics and reporting
Design and implement data pipelines and integrations across multiple systems, including CRM platforms like DealCloud
Translate business requirements into technical architecture, system design, and solution roadmaps
Evaluate and implement AI/ML models, APIs, and services (e.g., NLP, predictive analytics, generative AI use cases)
Establish architecture standards, best practices, and governance frameworks
Collaborate with engineering teams to ensure proper implementation of architecture designs
Provide technical leadership and mentorship to developers and engineers
Ensure solutions meet security, compliance, and performance requirements