AI Solution Architect

Fidel Softech; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Fidel Softech in the United States seeks an experienced AI Architecture Lead to drive enterprise AI initiatives from concept through deployment. You will translate business needs into scalable, secure AI solutions and lead architecture across data, APIs, and governance.

Responsibilities include mentoring teammates, evaluating AI tech, and ensuring compliance with security and regulatory standards while partnering with stakeholders and technology partners.

Qualifications

• Bachelors or Masters in CS/DS/Engineering or related field.
• Proven experience designing enterprise solutions and cloud-native apps.
• Strong knowledge of Generative AI, LLMs, AI agents, and RAG.
• Experience with Python, C#, Java, JS, APIs, and integration tech.
• Hands-on with Azure; OCI; AWS; familiarity with other clouds.
• Understanding of data structures, modeling, and software architecture.
• Familiarity with DevOps, CI/CD, and model deployment strategies.
• Excellent problem-solving and ability to work under pressure.
• Ability to communicate architecture decisions to stakeholders.
• Experience leading architecture reviews and governance.
• Knowledge of API-based architecture, security, and data governance.
• Experience evaluating vendor products, SaaS platforms, and AI.

Responsibilities

• Lead AI initiatives from concept to deployment with timelines and resources.
• Collaborate with stakeholders to translate business needs into technical solutions.
• Evaluate AI tech and recommend platforms and cloud services.
• Design AI-based solutions and architecture blueprints using modern AI.
• Provide architecture leadership across AI, data, APIs, and governance.
• Ensure solutions meet security, privacy, and regulatory requirements.
• Produce architecture diagrams, spec docs, and governance artifacts.
• Drive AI adoption with practical use cases and scalable implementation.
• Mentor junior team members on AI methodologies and tools.

Skills

Generative AI

LLMs

AI agents

RAG architectures

Enterprise AI platforms

Copilot tech

Responsible AI

Emerging AI trends

Education

Bachelors or Masters in CS/DS/Engineering

Tools

Azure

OCI

AWS

Google Cloud

Job description

Role & responsibilities

• Lead AI initiatives from concept to deployment, managing timelines, resources, and deliverables.
• Work closely with business stakeholders, product owners, engineers, data teams, and technology partners to translate business requirements into technical solutions.
• Evaluate emerging AI technologies and recommend AI platforms, cloud services, and commercial solutions aligned to business and technical requirements.
• Design and develop AI-based solutions and architecture blueprints for AI platforms, applications, integrations, and enterprise services, leveraging modern AI capabilities such as Generative AI, AI agents, and RAG.
• Provide architecture leadership across AI solutions, data, integrations, APIs, and governance processes, ensuring alignment with enterprise standards and business objectives.
• Collaborate with cross-functional teams to ensure solutions meet functional, non-functional, security, privacy, and regulatory requirements.
• Produce and maintain solution design documents, architecture diagrams, integration specifications, and technical governance artifacts.
• Drive AI adoption initiatives by identifying practical use cases and enabling responsible, secure, and scalable implementation across the organization.
• Mentor and guide junior team members in AI methodologies, best practices, and tools.

Preferred candidate profile

• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field.
• Proven experience designing enterprise solutions, cloud-native applications, AI-enabled platforms, data-driven systems, or digital transformation initiatives.
• Strong understanding of AI technologies including Generative AI, LLMs, AI agents, RAG architectures, enterprise AI platforms, Copilot technologies, responsible AI practices, and emerging AI trends.
• Experience with modern software development platforms and technologies such as Python, C#, Java, JavaScript, cloud-native services, APIs, and enterprise integration technologies.
• Strong hands-on experience with Microsoft Azure, including AI, integration, security, data, and application services. Experience with Oracle Cloud Infrastructure (OCI) and familiarity with AWS or Google Cloud is desirable.
• Solid understanding of data structures, data modeling, and software architecture principles.
• Familiarity with DevOps practices, CI/CD pipelines, and model deployment strategies.
• Excellent problem-solving skills and the ability to work under pressure in a fast-paced environment.
• Ability to communicate architecture decisions effectively to both technical and business stakeholders.
• Experience developing solution architecture documents, technical designs, and architecture diagrams.
• Experience leading architecture reviews, design governance, and cross-functional technology initiatives.
• Strong understanding of enterprise integration patterns, API-based architectures, security principles, and data governance.
• Experience evaluating vendor products, SaaS platforms, and AI solutions.