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Ai Engineer Architect Jobs (NOW HIRING)

The Principal AI Engineer is the most senior individual contributor and technical lead for ... Architect and build scalable, interoperable, responsible AI solutions, including generative AI, RAG ...

The Principal AI Engineer is the most senior individual contributor and technical lead for ... Architect and build scalable, interoperable, responsible AI solutions, including generative AI, RAG ...

$188 - $229/hr

The Principal AI Engineer is accountable for technical feasibility, business alignment, and ... Architect and build scalable, interoperable, responsible AI solutions, including generative AI, RAG ...

Posted today

The Principal AI Engineer is the most senior individual contributor and technical lead for ... Architect and build scalable, interoperable, responsible AI solutions, including generative AI, RAG ...

The Principal AI Engineer is the most senior individual contributor and technical lead for ... Architect and build scalable, interoperable, responsible AI solutions, including generative AI, RAG ...

The Principal AI Engineer is the most senior individual contributor and technical lead for ... Architect and build scalable, interoperable, responsible AI solutions, including generative AI, RAG ...

The Principal AI Engineer is the most senior individual contributor and technical lead for ... Architect and build scalable, interoperable, responsible AI solutions, including generative AI, RAG ...

AI Engineer

Detroit, MI · On-site

$50/hr

... AI Engineer is responsible for designing, developing, and deploying production-ready AI and machine ... This role emphasizes end-to-end backend solution development, cloud-native architecture, and ...

New

The AI Engineer designs, develops, and deploys AI/ML-powered software solutions that advance Atlas ... architecture, engineering standards, and product roadmaps. The ideal candidate combines hands-on ...

New

Job#: 3040307 AI Engineer Role Overview We are seeking an AI Engineer / Architect for a high-impact ... Lead architecture and development of enterprise platforms, including authorization and asset ...

You will play a crucial role in shaping the architecture of our AI-driven cybersecurity solutions while mentoring engineering teams and driving technical innovation. Culture is one of the most ...

AI Engineer

Atlanta, GA · On-site

$49.88 - $61.97/hr

The AI Engineer is responsible for designing, developing, implementing, and supporting enterprise ... Partner with product managers, AI architects, and technical stakeholders to define AI solution ...

AI Engineer

Atlanta, GA · On-site

$120 - $180/hr

Description The AI Engineer is responsible for designing, developing, implementing, and supporting ... Partner with product managers, AI architects, and technical stakeholders to define AI solution ...

Lead AI Engineer

Omaha, NE · On-site

$98K - $129K/yr

Conduct architecture reviews, code reviews, and technical consultations supporting solutions built ... Champion AI-assisted engineering practices, evaluating and implementing AI developer tools that ...

Showing results 21-40

Ai Engineer Architect information

What is an AI engineer architect?

AI Engineer Architects are professionals who design, develop, and oversee the implementation of artificial intelligence solutions within organizations. They combine expertise in AI technologies, such as machine learning and deep learning, with architectural skills to create scalable, robust, and efficient AI systems. Their responsibilities often include selecting appropriate AI frameworks, ensuring data pipelines are optimized, and collaborating with data scientists, engineers, and business stakeholders to align AI initiatives with organizational goals.

What are the key skills and qualifications needed to thrive as an AI engineer architect?

To thrive as an AI Engineer Architect, you need deep expertise in computer science, machine learning, algorithm development, and system architecture, often supported by advanced degrees and experience in AI project delivery. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms (like AWS, Azure, or GCP), and relevant certifications (e.g., Google Professional Machine Learning Engineer) is typically required. Strong communication, problem-solving, and leadership skills help you bridge technical and business requirements and guide teams effectively. These skills are crucial for designing scalable, innovative AI solutions that align with organizational goals and drive successful implementation.

How does an AI engineer architect typically collaborate with cross-functional teams during project development?

AI Engineer Architects regularly work alongside data scientists, software engineers, product managers, and business stakeholders to design and implement AI-driven solutions. They are responsible for translating complex business requirements into scalable AI architectures, guiding project direction, and ensuring technical feasibility. Collaboration often involves leading technical discussions, conducting code and architecture reviews, and providing mentorship to junior AI engineers. Effective communication and teamwork are essential, as AI Engineer Architects must align AI initiatives with broader organizational goals.

What is the difference between Ai Engineer Architect vs Data Scientist?

AspectAi Engineer ArchitectData Scientist
Required 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 EnvironmentDesigning AI architectures, developing models, integrating AI solutionsAnalyzing data, building predictive models, deriving insights
Employer & Industry UsageTech companies, AI-focused firms, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles require expertise in AI and machine learning, Ai Engineer Architects focus on designing and implementing AI systems and architectures, whereas Data Scientists analyze data to generate insights and build models. The roles often overlap but differ mainly in scope and responsibilities.

More about Ai Engineer Architect jobs

What cities are hiring for Ai Engineer Architect jobs?

Cities with the most Ai Engineer Architect job openings:

What states have the most Ai Engineer Architect jobs?

States with the most job openings for Ai Engineer Architect jobs include:

Infographic showing various Ai Engineer Architect job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Full-time

Posted 3 days ago

New


Job description

AI Engineer - San Francisco, CA (Onsite)
About the Role
Join a dynamic team in San Francisco as an AI Engineer, where you'll drive the creation and scaling of next-generation AI-powered applications. This is a hands-on opportunity to deliver production-grade generative AI solutions leveraging state-of-the-art architectures and agentic workflows. You'll have full ownership of intelligent systems, collaborating with top engineers, architects, and product teams to define and deliver impactful solutions. This role offers significant career growth, technical leadership opportunities, and exposure to cutting-edge cloud-native and GenAI technologies.
Responsibilities
- Design, develop, deploy, and maintain AI-powered applications using Python, FastAPI, React, and TypeScript.
- Architect, build, and support LLM-driven systems, implementing prompt engineering, RAG, and multi-agent AI workflows.
- Lead by example in AI-augmented development practices, utilizing advanced AI coding assistants.
- Deliver end-to-end solutions: from system architecture, operational readiness, and production support to cost optimization.
- Collaborate cross-functionally with technical and product teams to define robust technical solutions.
- Mentor and guide team members in agentic development, AI tooling, and prompt engineering.
- Build observability and monitoring solutions for AI systems, including tracing, token usage, and performance metrics.
- Drive CI/CD and deployment processes, including supporting occasional off-hours releases.
- Manage multiple initiatives and competing priorities in a fast-paced, innovation-driven environment.
Required Skills and Experience
- Bachelor's or master's degree in Computer Science, AI/ML, Information Technology, or equivalent experience.
- 5+ years in software engineering, with 2+ years in AI/ML or GenAI applications.
- Proven track record of end-to-end delivery of production-grade AI systems.
- Deep knowledge of LLM architectures, prompt engineering, agentic workflows, RAG, and orchestration patterns.
- Expert proficiency in Python, FastAPI, async programming, Pydantic, SQLAlchemy ORM.
- Solid experience with React, TypeScript, Zustand, PostgreSQL, MySQL, database migrations, and query optimization.
- Strong command of Docker, Kubernetes, container orchestration, CI/CD pipelines.
- Familiarity with AI coding assistants (e.g., GitHub Copilot, Claude Code, Cursor).
- Hands-on with cloud platforms (Google Cloud Platform, Cloud Run, BigQuery).
- Experience with OAuth 2.0, JWT authentication, and RBAC.
- Familiarity with LLM observability tools (e.g., LangFuse, LangSmith).
Preferred Skills
- Experience building enterprise-scale AI platforms or internal developer tools.
- Production support experience for AI applications.
- Knowledge of AI governance, model evaluation, and responsible AI practices.
- Strong technical mentorship and stakeholder management abilities.
- Experience with Agile methodologies and tools.
- Background in the retail industry.
Benefits
- Work onsite in a vibrant San Francisco tech hub.
- Opportunity to lead and influence the technical direction of AI initiatives.
- Exposure to cutting-edge generative AI technologies and industry-leading platforms.
- Collaborative, growth-focused work environment.
- Competitive compensation and career advancement opportunities.
How to Apply
Ready to drive innovation in AI? Submit your updated resume highlighting relevant AI engineering experience. Candidates must be authorized to work in the United States without sponsorship.

Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US