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Ai Engineer Architect Jobs (NOW HIRING)

AI Engineer / Architect Location: Vienna, VA Onsite Employment Type: Contract W2 Only We are looking for an experienced AI Engineer / Architect with strong expertise in AI governance, guardrails ...

The AI Engineer/Architect will own the architecture and technical direction for enterprise agentic AI solutions, balancing hands-on engineering with design governance. The role will establish ...

AI Engineer/Architect Location: Bloomfield, CT or Lafayette, LA (Hybrid) Duration: Longterm Your future duties and responsibilities The AI Engineer/Architect will own the architecture and technical ...

Overview We are seeking a Senior AI Engineer to define and drive the end-to-end engineering of an ... Define reference architecture, design standards, and engineering guardrails for agent workflow ...

Overview We are seeking a Senior AI Engineer to define and drive the end-to-end engineering of an ... Define reference architecture, design standards, and engineering guardrails for agent workflow ...

Overview We are seeking a Senior AI Engineer to define and drive the end-to-end engineering of an ... Define reference architecture, design standards, and engineering guardrails for agent workflow ...

Overview We are seeking a Senior AI Engineer to define and drive the end-to-end engineering of an ... Define reference architecture, design standards, and engineering guardrails for agent workflow ...

Overview We are seeking a Senior AI Engineer to define and drive the end-to-end engineering of an ... Define reference architecture, design standards, and engineering guardrails for agent workflow ...

Overview We are seeking a Senior AI Engineer to define and drive the end-to-end engineering of an ... Define reference architecture, design standards, and engineering guardrails for agent workflow ...

Overview We are seeking a Senior AI Engineer to define and drive the end-to-end engineering of an ... Define reference architecture, design standards, and engineering guardrails for agent workflow ...

Overview We are seeking a Senior AI Engineer to define and drive the end-to-end engineering of an ... Define reference architecture, design standards, and engineering guardrails for agent workflow ...

AI Engineer

Austin, TX ยท On-site

Join Vancor AI as a AI Engineer. You'll develop intelligent features, APIs, and workflows that put ... Collaborate with engineers, architects, and product stakeholders on roadmap and execution * Apply ...

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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

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What states have the most Ai Engineer Architect jobs?

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Infographic showing various Ai Engineer Architect job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Engineer/Architect

Vienna, VA โ€ข On-site

Other

Posted 11 days ago


Job description

Hiring: AI Engineer / Architect

Location: Vienna, VA Onsite
Employment Type: Contract W2 Only

We are looking for an experienced AI Engineer / Architect with strong expertise in AI governance, guardrails, security, and risk management. The ideal candidate will have experience designing and implementing enterprise-wide frameworks for governing AI agents across multiple platforms.

Required Skills:

  • AI Governance & Guardrails
  • AI Agent Security
  • AI Risk Management
  • Enterprise AI Architecture
  • Azure AI Foundry
  • Microsoft Copilot Studio
  • Azure Kubernetes Service (AKS)
  • AI Compliance & Controls
  • Production Readiness
  • AI Standards & Policy
  • Responsible AI

Responsibilities:

  • Design and implement enterprise-wide AI guardrails and governance frameworks.
  • Evaluate AI agent deployment platforms and define standardized controls.
  • Establish security, risk, compliance, and production-readiness standards for AI solutions.
  • Develop governance processes for AI agents across AKS, Copilot Studio, Azure AI Foundry, and emerging platforms.
  • Assess AI solutions and ensure they meet enterprise security and compliance requirements.
  • Partner with technology, security, risk, and architecture teams to operationalize AI governance.

Note: Strong hands-on experience with enterprise AI governance and guardrails is required. Only W2 candidates will be considered.

Interested candidates can share their resumes at: