Senior Architect AI Engineering and Platforms
TransUnion1 day ago
Base Salary
$143k - $238k/yr
Responsibilities
- Contribute to the technical vision and lead architecture and delivery of foundational AI platform capabilities.
- Design and implement scalable AI capabilities across multi-cloud and hybrid environments.
- Develop standardized delivery paths for AI-enabled products, including agentic AI, observability, evaluations, operational controls, and guardrails.
- Ensure the availability, performance, scalability, and security of platform components.
- Partner with Product, Engineering, and other cross-functional teams to translate requirements into platform designs and delivery plans.
- Evaluate, prototype, and integrate emerging technologies for enterprise AI platforms.
- Apply data governance, metadata management, data quality, security, and compliance practices.
- Provide technical guidance, conduct design reviews, and mentor engineers.
- Advance automation and DevOps practices supporting continuous integration and deployment of data and AI services.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience supporting complex AI, data, or platform solutions.
- 10+ years of experience in ML engineering, data engineering, distributed systems, or platform development, including at least three years of hands-on GenAI platform or capability development.
- Hands-on experience delivering production GenAI solutions, including retrieval quality, latency management, cost optimization, and evaluation-driven quality improvements.
- Experience building scalable AI or data platform components adopted by multiple teams.
- Advanced expertise in AWS, Azure, or GCP and 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 vector search, knowledge graphs, RAG, agentic frameworks, model fine-tuning, evaluation frameworks, and AI cost management.
- Experience with Apache Spark or Apache Hadoop and Terraform or AWS CloudFormation.
- Experience implementing cloud security and compliance controls and using Prometheus, Grafana, and the ELK Stack.
- Strong problem-solving, analytical, communication, collaboration, technical mentorship, and cross-team influencing skills.
- Preferred experience establishing AI product golden paths, applying metadata and data governance frameworks, optimizing AI platforms, and integrating emerging AI technologies.
Benefits
- Hybrid work arrangement requiring at least two days per week at an assigned TransUnion office.
- Day-one eligibility for medical, dental, vision, HSA, and FSA options.
- Company-paid life and AD&D insurance, disability coverage, optional legal, pet, and travel accident insurance.
- Adoption assistance, fertility planning coverage, caregiver support, dependent-care benefits, and up to 12 weeks of paid parental leave.
- 401(k) with employer match, ESPP, financial wellness resources, career coaching, and optional long-term care insurance.
- Tuition reimbursement, flexible or paid time off, up to 12 paid holidays, commuter benefits, employee discounts, charitable gift matching, and paid volunteer time.
- 24/7 therapy, coaching, emotional well-being, meditation, and wellness resources.
Tech Stack
Apache HadoopApache SparkAWSAzureDockerElasticsearchGoogle Cloud PlatformGrafanaKibanaKubernetesLogstashPrometheusTerraform
Categories
About TransUnion
TransUnion is a global credit bureau and information-services company that provides credit data, identity verification, fraud prevention, and risk analytics to businesses and consumers. It sells data, APIs, and decisioning software used by lenders, insurers, telecoms, and other regulated industries, and offers consumer credit reports and monitoring. Founded in 1968 and headquartered in Chicago, it operates in more than 30 countries and is publicly traded on the NYSE under the ticker TRU.