TraceGains · 1 day ago
Senior Data & AI Platform Architect
United States
Full-time
Remote
Senior Level, Lead/Staff
$160K/yr - $180K/yr
8+ years expTraceGains is seeking a Senior Data & AI Platform Architect to lead the design and implementation of their next-generation data and MLOps platform on Azure. The role involves architecting scalable infrastructure and MLOps capabilities that support intelligent supply chain solutions while ensuring data privacy and compliance.
Software
Responsibilities
Architect scalable, multi-tenant data platform using Azure Data Factory, Databricks, and Azure Synapse Analytics
Design hybrid data architectures supporting operational systems, AI workloads, and knowledge graphs
Build vector databases and graph database infrastructure for RAG applications and semantic search
Design and implement comprehensive MLOps platform on Azure supporting the full ML lifecycle from experimentation to production
Build automated ML pipelines using Azure ML, MLfl ow, and Azure DevOps for continuous integration and deployment
Implement real-time inference infrastructure with monitoring, alerting, and automated drift detection
Build a technical team of data engineers
End-to-end lifecycle management including hydration from existing taxonomies/ontologies, leveraging TopBraid EDG experience
High-performance graph query services and APIs for real-time access to supply chain relationships
Automated validation, confl ict resolution, and data quality monitoring to ensure graph consistency and accuracy
Implement Infrastructure as Code using Terraform and build CI/CD pipelines for data products and ML models
Design containerized microservices architecture using Docker and Azure Kubernetes Service
Create self-service capabilities with comprehensive monitoring and observability
Reduce model deployment time from weeks to days
Build scalable infrastructure supporting 10x growth in AI workloads
Enable data scientists to self-serve 80% of their platform needs
Successfully hire and onboard 2-3 senior data engineers and AI/ML engineers
Qualification
Required
Master's degree in Computer Science, Data Engineering, or related field (or equivalent experience)
8-12 years building enterprise data and AI platforms in production environments
Proven track record designing and implementing MLOps platforms on Azure with measurable business impact
5+ years hands-on experience with Azure ML, Azure Synapse, Azure Data Factory, and/or Azure Kubernetes Service
MLOps & AI Platforms: MLflow, Kubeflow or Azure ML pipelines, model monitoring and drift detection
Data Engineering: Modern data stack (dbt, Airflow), real-time streaming, data lake/warehouse architecture
Cloud Infrastructure: Azure native services, Terraform, Kubernetes, containerization strategies
Databases & Storage: PostgreSQL, graph databases, vector stores, distributed systems design
DevOps & Platform Engineering: CI/CD for ML, Infrastructure as Code, monitoring and observability
Proven ability to establish shared platform capabilities that serve multiple product teams
Strong communication skills with ability to present to executive leadership
Track record of cross-functional collaboration with AI product teams, ML, and business stakeholders
Experience establishing technical standards and governance frameworks across distributed teams
Preferred
Experience building and mentoring technical teams (data engineers, AI/ML engineers, platform engineers)
Experience with supply chain, food safety, or regulatory compliance domains
Multi-cloud architecture experience with Azure as primary and AWS/GCP familiarity
Knowledge of LLMs, RAG architectures, and advanced NLP applications
Open source contributions to ML or data platform tools
Experience with knowledge graphs and ontology management
Background in privacy-preserving ML techniques and federated learning
Experience building vector databases and graph database infrastructure for RAG applications and semantic search
Benefits
Paid time off
Medical/dental/vision insurance
401(k)
Company
TraceGains
TraceGains is a computer software company specializing in food safety and quality assurance software.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$6MKey Investors
SaaS Capital
2024-10-07Acquired
2018-11-01Debt Financing· $6M
Leadership Team
Gary Nowacki
CEO
Recent News
Precedence Research
2025-10-09
2025-08-21
Food Business News
2025-08-15
Company data provided by crunchbase