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Senior Artificial Intelligence Architect Jobs (NOW HIRING)

Long Finch Technologies

Artificial Intelligence Architect Java 21+, Spring Boot, Spring AI Microservices, event-driven architecture (Kafka, SQS/SNS) REST/GraphQL API design, gRPC Design patterns, Enterprise architecture and ...

Appvion, LLC

Artificial Intelligence Architect

Keswick, VA · On-site

$63 - $81/hr

About the Role We're hiring an AI Architect to define the technical foundation for all our AI/ML systems including architecture standards, platform decisions, and quality gates that let us deliver ...

Appvion, LLC

Artificial Intelligence Architect

New York, NY · On-site

$69.75 - $89.75/hr

About the Role We're hiring an AI Architect to define the technical foundation for all our AI/ML systems including architecture standards, platform decisions, and quality gates that let us deliver ...

Appvion, Inc.

$140 - $210/hr

Corporate & Support Services We're hiring an AI Architect to define the technical foundation for all our AI/ML systems including architecture standards, platform decisions, and quality gates that let ...

M2S Group

Artificial Intelligence Architect

New York, NY · On-site +1

$69.75 - $89.75/hr

About the Role We're hiring an AI Architect to define the technical foundation for all our AI/ML systems including architecture standards, platform decisions, and quality gates that let us deliver ...

Appvion, LLC

Artificial Intelligence Architect

Punta Gorda, FL · On-site

$57.75 - $74.25/hr

About the Role We're hiring an AI Architect to define the technical foundation for all our AI/ML systems including architecture standards, platform decisions, and quality gates that let us deliver ...

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Senior Artificial Intelligence Architect information

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$74K

$123.9K

$191.5K

How much do senior artificial intelligence architect jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior artificial intelligence architect in the United States is $123,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $141,500.00 per year, depending on experience, location, and employer.

What is a senior artificial intelligence architect?

A Senior Artificial Intelligence Architect is an experienced professional responsible for designing, developing, and overseeing the implementation of AI solutions within an organization. They work closely with stakeholders to identify business needs, select suitable AI technologies, and ensure projects align with organizational goals. This role often involves leading teams of data scientists and engineers, setting technical direction, and ensuring best practices in AI system design and deployment. They also stay updated on the latest advancements in AI and help organizations adopt innovative solutions.

How does a senior artificial intelligence architect typically collaborate with cross-functional teams during AI solution development?

A Senior Artificial Intelligence Architect frequently works with data scientists, software engineers, product managers, and business stakeholders to design, implement, and deploy AI solutions. They lead technical discussions, translate business requirements into technical specifications, and ensure that AI models are scalable, reliable, and aligned with organizational goals. Collaboration often involves conducting regular meetings, providing technical guidance, and facilitating knowledge sharing across teams to overcome challenges and deliver successful AI projects.

What are the key skills and qualifications needed to thrive as a senior artificial intelligence architect, and why are they important?

To thrive as a Senior Artificial Intelligence Architect, you need advanced knowledge of machine learning, deep learning, data science, and software engineering, typically supported by a degree in computer science or a related field. Expertise in programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and AI/ML certifications are highly valued. Strong leadership, strategic thinking, and communication skills help you translate business needs into technical solutions and lead cross-functional teams. These skills ensure effective design and deployment of scalable AI systems that drive innovation and meet organizational objectives.

What is the difference between Senior Artificial Intelligence Architect vs Data Scientist?

AspectSenior Artificial Intelligence ArchitectData Scientist
CredentialsBachelor's/Master's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDesigns AI systems, collaborates with engineering teams, focuses on architectureAnalyzes data, builds models, interprets data insights
Industry UsageUsed in AI system development, enterprise AI solutionsUsed in data analysis, predictive modeling, business insights

The Senior Artificial Intelligence Architect primarily focuses on designing and implementing AI systems and architectures, working closely with engineering teams. In contrast, Data Scientists analyze data and develop models to extract insights. While both roles require strong technical skills and knowledge of ML, the Architect emphasizes system design, whereas Data Scientists focus on data analysis and modeling.

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Senior Artificial Intelligence Architect jobs near you
Infographic showing various Senior Artificial Intelligence Architect job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,935 per year, or $59.6 per hour.

Artificial Intelligence Architect

Long Finch Technologies

Foristell, MO • On-site

Full-time

Posted 8 days ago

Job description

NEED ONLY USC/GC. CAN WORK FROM ANY NEARBY OFFICE. NO NEED TO RELOCATE TO A DIFFERENT PLACE

WE ARE LOOKING FOR ARCHITECT FOR THIS POSITION NOT DEVELOPER.

Artificial Intelligence Architect

Java 21+, Spring Boot, Spring AI
Microservices, event-driven architecture (Kafka, SQS/SNS)
REST/GraphQL API design, gRPC
Design patterns, Enterprise architecture and scaling
AI / ML Integration
Experience with Agentic AI / multi-agent frameworks at enterprise scale.
LLM integration via Anthropic Claude API, OpenAI, or AWS Bedrock
RAG architectures, vector databases (OpenSearch, Pinecone, pgvector)
Model serving, inference optimization, prompt engineering
Spring AI, Langgraph, Google ADK, A2A, MCP.
Prompt Engineering, prompt caching, Token optimization.
AWS

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