Yochana · 15 hours ago
AI/ML Architect
Philadelphia, PA
Full-time
Onsite
Senior Level, Lead/Staff
10+ years expYochana is seeking a Senior AI/ML Platform Leader to design and operationalize a scalable production-ready AI/ML architecture across multiple business units. This hands-on architectural leadership role is responsible for transitioning the organization from proof-of-concept AI efforts to the repeatable and governed delivery of models in production.
Telecom & CommunicationsEnterprise SoftwareSoftwareHuman ResourcesInformation TechnologyBusiness Information SystemsInformation and Communications Technology (ICT)Information ServicesStaffing Agency
Hiring Manager
Sohaib Rumey ✪
Responsibilities
Include AIML architecture and platform design define the end to end AI/ML reference architecture from Data injection through model serving and monitoring. Establish standards for data storage, access patterns and lineage, including separation of raw, curated and feature ready data. Assess and define the need for shared platform capabilities such as
Feature stores
Model registries
AIML catalogues
Experiment tracking
Design for scale across multiple business units with differing data sensitivity, regulatory and operational needs
Environment and delivery pipeline: Define standard development, validation and production environments for AIML workloads. Designer a repeatable ML delivery pipeline covering
Model development and training
Validation, approval and promotion
Deployment (batch and/or real time)
Monitoring drift detection and retraining
Establish CI/CD (and continuous training where appropriate) best practices for ML systems
MLOps governance and production readiness: Define what production read means for AIML models, including:
Testing and validation requirements
Monitoring and alerting
Rollback and incident response patterns
Partner with security, legal and compliance team to integrate governance without slowing delivery
Ensure models are discoverable auditable and traceable across environment and business units
Enablement and operating model: Create a paved road for AI development
Shared standards, templates and tooling that business unit can serve against
Advise and enable product teams and engineering teams moving models from POC to production
Help define the long-term operating model for ai/ml ownership across central platform teams and federated BU teams
Qualification
Required
10+ Years of experience in software engineering, data platforms or ML engineering
5+ Years of hands-on experience deploying machine learning systems into production
Proven experience in designing AI/ML platform or MLOps architectures (not just individual models)
Strong understanding of ML life cycle management data
Data pipelines and feature engineering
Model serving patterns (batch, real time, API's)
Experience working across organizational boundaries (multiple business teams and units)
Ability to communicate architectural designs and decisions clearly to both technical and non-technical stakeholders
Preferred
Experience designing or operating features stores
Model registries and experiment tracking platforms, AI governance and risk framework
Familiarity with cloud, native ML platforms and infrastructure (AWS, GCP, Azure or similar)
Experience monitoring teams and establishing standards at scale
Background in regulated or data sensitive environment
Company
Yochana
Yochana: Your Trusted Workforce Partner Across North America & Beyond For over 16 years, Yochana has been a leading talent acquisition firm, connecting businesses with top professionals across industries.
201-500 employees
H1B Sponsorship
Yochana has a track record of offering H1B sponsorships. Please note that this does not
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2025 (21)
2024 (11)
2023 (3)
Funding
Current Stage
Growth StageLeadership Team
Anusha Sharath
Global Talent Acquisition Lead / HR-BP
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