AI Business Architect

Velera

AI Business Architect providing technical advisory for AI initiatives in fintech environment. Evaluating solution feasibility and architecture alignment for AI opportunities.

Posted 6/18/2026full-timeRemote • New Jersey • 🇺🇸 United StatesSeniorLead💰 $110,100 - $143,100 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI engineeringmachine learning engineeringsolution architectureretrieval augmented generationembeddings pipelinessemantic searchdocument intelligenceNLPAPIscloud-based AI platforms

Soft Skills

guidanceevaluationsolution provisioncollaborationtranslation of technical constraintstradeoff analysis