AI Solutions Architect

Airo Digital Labs, LLC; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Airo Digital Labs, LLC is seeking an experienced AI Solution Architect to design and deliver scalable AI solutions aligned with business objectives. You will identify AI opportunities, define use cases, evaluate solutions, and translate needs into practical architectures.

The role requires strong expertise in AI/ML, GenAI, LLMs, vector databases, and enterprise integration. You will work with cloud platforms (Azure, AWS, Google Cloud) and collaborate with stakeholders to drive production-ready

Qualifications

• 8+ years of experience in AI/GenAI architecture and delivery.

Responsibilities

• Identify and prioritize AI/GenAI use cases based on value, feasibility, and ROI.

Skills

AI/ML architecture

GenAI solution design

LLMs

Prompt engineering

Data architectures

APIs and microservices

Stakeholder management

Communication to business

Tools

Azure AI

AWS AI/ML

Google Cloud AI

Vector databases

Job description

We are seeking an experienced AI Solution Architect to design and deliver scalable AI solutions aligned with business objectives. The ideal candidate will have strong experience identifying AI opportunities, defining relevant use cases, evaluating potential solutions, and translating business needs into practical AI architectures.

Experience

• 8+ years

Key Responsibilities

• Identify and prioritize AI/GenAI use cases based on business value, feasibility, and ROI.
• Translate business requirements into AI solution architectures and technical roadmaps.
• Design end-to-end AI solutions including data, models, APIs, applications, security, and integration.
• Evaluate potential AI technologies, platforms, models, and vendors to recommend the best-fit solution.
• Develop POCs and prototypes to validate AI use cases and demonstrate business value.
• Work with business, data, engineering, and product teams to move AI solutions from concept to production.
• Define approaches for Generative AI, LLMs, RAG, AI Agents, NLP, predictive analytics, and intelligent automation where applicable.
• Establish responsible AI practices covering security, privacy, governance, model performance, and scalability.
• Stay current with emerging AI technologies and identify opportunities for innovation.

Required Skills

• Strong experience in AI/ML and Generative AI solution architecture.
• Experience defining AI use cases and mapping them to potential technical solutions.
• Knowledge of LLMs, RAG, prompt engineering, AI Agents, vector databases, and model integration.
• Experience with cloud AI platforms such as Azure AI, AWS AI/ML, or Google Cloud AI.
• Strong understanding of data architecture, APIs, microservices, and enterprise integration.
• Ability to communicate complex AI concepts to both technical and business stakeholders.
• Strong problem-solving, architecture, and stakeholder-management skills.