The Application Solutions Architect will lead the design and development of scalable, secure, and intelligent enterprise applications that align with the organization’s long term technology strategy. This role architects advanced AI/ML solutions, major system enhancements, and custom integrations while ensuring compliance with enterprise security, governance, and responsible AI practices. The ideal candidate has a degree in a technical or analytical field and senior-level experience shaping AI platform strategy or serving as a principal/staff engineer in a large enterprise environment. Strong hands-on expertise with cloud platforms such as Azure, AWS, and Palantir is required, along with deep proficiency in Python, modern ML ecosystems, LLM deployment, and multi-agent architectures. This role also requires mastery of cloud native design patterns, microservices, containerization (Docker), orchestration (Kubernetes/EKS/AKS), and event driven architectures. Experience with automated ML training, CI/CD for ML, model observability, and governance controls is essential. Success in this position requires the ability to influence across teams, drive consensus on complex architecture decisions, and collaborate closely with Application Development, Enterprise Architecture, and vendor partners to define and advance the target-state AI/ML architecture.
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Job Type
Full-time
Career Level
Mid Level