
1001 - 5000 employees
💳 Fintech
🏦 Banking
Fintech • Banking • Financial Technology
Velera is a company that provides a wide range of solutions for financial institutions, focusing on payment and banking technology. The company offers services in digital card issuance, digital wallets, and provides a co-op pay network and ATM terminal driving. Velera integrates sophisticated scoring and decision-making tools for fraud prevention and identity authentication. It also offers strategic consulting services for growth and marketing. Velera positions itself as a partner in digital banking and financial technology innovation.
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1001 - 5000 employees
💳 Fintech
🏦 Banking
Fintech • Banking • Financial Technology
Velera is a company that provides a wide range of solutions for financial institutions, focusing on payment and banking technology. The company offers services in digital card issuance, digital wallets, and provides a co-op pay network and ATM terminal driving. Velera integrates sophisticated scoring and decision-making tools for fraud prevention and identity authentication. It also offers strategic consulting services for growth and marketing. Velera positions itself as a partner in digital banking and financial technology innovation.
• Evaluate technical feasibility of AI-enabled business solutions and identify architecture considerations impacting implementation viability. • Evaluate architectural patterns supporting AI-enabled workflows • Assess feasibility of AI approaches using enterprise data and integration patterns • Identify technical dependencies impacting implementation sequencing • Provide guidance on tradeoffs between approaches • Identify reusable components that may support multiple enterprise use cases • Document technical constraints that may impact delivery timelines • Provide guidance, evaluations and solutions for applied AI engineering patterns relevant to enterprise use cases
• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related technical field • 10+ years of experience in software engineering, AI engineering, machine learning engineering, or solution architecture roles. • 1-2 years experience delivering retrieval augmented generation (RAG), embeddings pipelines, semantic search, or document intelligence workflows preferred • Experience working in financial services, fintech, payments, or regulated environments is a plus • Experience designing or evaluating AI-enabled solution architectures • Experience working with machine learning, NLP, or large language model applications • Experience integrating AI capabilities using APIs or cloud-based AI platforms • Experience evaluating feasibility of AI-enabled workflows using enterprise data sources • Experience working with cloud environments such as Azure, AWS, or GCP • Experience collaborating with engineering teams on AI-enabled product features • Understanding of model reliability, evaluation considerations, and performance tradeoffs • Ability to translate technical constraints into business implications • Experience supporting proof-of-concept or prototype efforts is preferred • Experience working in financial services, fintech, payments, or regulated environments is a plus
• Competitive wages • Medical with telemedicine • Dental and Vision • Basic and Optional Life Insurance • Paid Time Off (PTO) • Maternity, Parental, Family Care • Community Volunteer Time Off • 12 Paid Holidays • Company Paid Disability Insurance • 401k (with employer match) • Health Savings Accounts (HSA) with company provided contributions • Flexible Spending Accounts (FSA) • Supplemental Insurance • Mental Health and Well-being: Employee Assistance Program (EAP) • Tuition Reimbursement • Wellness program
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