AI Business Architect - REMOTE

Velera

2d•$110,100 - $143,100•Remote

About The Position

The AI Business Architect provides technical advisory and solution feasibility support for Enterprise AI initiatives within the Enterprise Data & AI Office. This role operates using a fractional capacity model and may be fulfilled through internal shared resources, consulting partners, or contract engineering expertise depending on demand. The role supports evaluation of solution approaches, technical feasibility, integration complexity, and architectural alignment for AI opportunities identified through the Enable, Augment, and Transform lanes. The architect works closely with the Manager, AI Business Engagement and AI Business Analyst to ensure solution approaches are realistic, scalable, and aligned with enterprise technology standards. The role focuses on business solution architecture guidance, evaluation of AI engineering approaches, and identification of reusable capabilities that may support multiple business teams. This role is not responsible for full product delivery ownership, but may contribute to technical validation, prototyping guidance, and vendor capability evaluation. The role also surfaces architectural, risk, and governance considerations early in the AI lifecycle to support informed enterprise decision making.

Requirements

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

Responsibilities

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