Senior Architect AI Engineering and Platforms
$142.5k - $237.5kTrans Union LLC
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The AI Engineering and Platforms team designs, builds, and operates the foundational AI capabilities that support products and use cases for internal and external users across multi-cloud and hybrid environments. The team partners with Product and Engineering to deliver scalable, secure, and reliable AI platforms and AI-enabled solutions. The Senior Architect, AI Engineering and Platforms will report to Director for Software Development and is a highly technical, hands-on individual contributor responsible for designing, building, and operating core AI platform components. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Role Overview and Core Responsibilities
Sr Architect, Software Development Company:
TransUnion LLC
The AI Engineering and Platforms team designs, builds, and operates the foundational AI capabilities that support products and use cases for internal and external users across multi-cloud and hybrid environments. The team partners with Product and Engineering to deliver scalable, secure, and reliable AI platforms and AI-enabled solutions. The Senior Architect, AI Engineering and Platforms will report to Director for Software Development and is a highly technical, hands-on individual contributor responsible for designing, building, and operating core AI platform components. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Role Overview and Core Responsibilities
- Contribute to the technical vision for foundational AI platforms and lead the architecture and delivery of assigned platform capabilities.
- Design and implement scalable AI capabilities across multi-cloud and hybrid environments.
- Implement and evolve the standardized development path for AI-enabled products, including agentic AI capabilities, observability, evaluations and measurement, operational controls, and guardrails.
- Ensure the availability, performance, scalability, and security of assigned platform components.
- Partner with cross-functional teams to translate business and technical requirements into platform designs and delivery plans.
- Evaluate, prototype, and integrate emerging technologies that enhance platform capabilities and user outcomes.
- Apply best practices for data governance, metadata management, data quality, security, and compliance.
- Provide technical guidance, conduct design reviews, and mentor engineers.
- Advance automation and DevOps practices supporting the continuous integration and deployment of data and AI services.
- Bachelor's or master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience supporting the design and delivery of complex AI, data, or platform solutions.
- 10+ years of experience across ML (Machine Learning) engineering, data engineering, distributed systems, or platform development, including three or more years of hands-on experience building GenAI (Generative Artificial Intelligence) platforms or capabilities.
- Hands-on experience delivering production GenAI solutions for internal or external users, including retrieval quality, latency management, cost optimization, and evaluation-driven quality improvements.
- Experience building scalable AI or data platform components adopted by multiple teams, with measurable developer or user experience outcomes.
- Strong problem-solving, analytical, communication, and collaboration skills, with the ability to explain complex technical concepts to technical and nontechnical audiences.
- Advanced expertise in at least one major cloud platform, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (Google Cloud Platform), with working knowledge of multi-cloud and hybrid architectures.
- Strong proficiency with Docker, Kubernetes, infrastructure-as-code, API design, microservices architecture, continuous integration, and continuous deployment.
- Hands-on knowledge of GenAI architecture and engineering, including vector search, knowledge graphs, Retrieval-Augmented Generation (RAG), agentic frameworks, model fine-tuning, evaluation frameworks, and cost management.
- Experience with distributed computing technologies such as Apache Spark or Apache Hadoop and infrastructure-as-code tools such as Terraform or AWS CloudFormation.
- Experience implementing cloud security and compliance controls and using observability tools such as Prometheus, Grafana, and the Elasticsearch, Logstash, and Kibana (ELK) Stack.
- Experience establishing standardized development patterns or "golden paths" for AI-enabled products.
- Familiarity with metadata management, data governance, and data quality frameworks.
- Experience optimizing AI platforms for retrieval quality, latency, reliability, and cost.
- Experience evaluating and integrating emerging AI technologies into enterprise-scale platforms.
- Experience providing technical mentorship and influencing engineering practices across multiple teams.
Sr Architect, Software Development Company:
TransUnion LLC
Vacancy posted 10 hours ago
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