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Ai Engineer Architect Jobs (NOW HIRING)

Collaborate with data engineers, architects, and business teams * Ensure performance, governance, and reliability of AI systems Required Skills: * Strong experience in AI/ML and GenAI development

Principal AI Engineer

San Jose, CA · On-site +1

$190K - $250K/yr

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 ...

A Principal AI Engineer serves as the foremost technical authority and strategic leader for our AI ... Influence architectural decisions, development practices, and technology choices to ensure a ...

Role Overview We're looking for Applied AI Engineers to work as forward deployed directly with ... Architect, build, and deploy custom solutions leveraging GenAI , LLMs , Machine Learning and Vision ...

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Ai Engineer Architect information

What are the key skills and qualifications needed to thrive as an AI Engineer Architect, and why are they important?

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 are AI Engineer Architects?

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 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? States with the most job openings for Ai Engineer Architect jobs include:
What job categories do people searching Ai Engineer Architect jobs look for? The top searched job categories for Ai Engineer Architect jobs are:

GenAI & Agentic AI Engineer - Enterprise AI Platforms - AIRLHV

NavitasPartners

On-site, Remote

Other

Posted 3 days ago


Job description

 GenAI & Agentic AI Engineer - Enterprise AI Platforms 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

We are seeking a GenAI & Agentic AI Engineer to design and deliver next-generation AI solutions leveraging LLMs and autonomous agents across enterprise platforms. 

Key Responsibilities: 

  • Design and develop GenAI and agent-based AI solutions  
  • Build scalable AI systems integrated with enterprise data platforms  
  • Collaborate with data engineers, architects, and business teams  
  • Ensure performance, governance, and reliability of AI systems  

Required Skills: 

  • Strong experience in AI/ML and GenAI development  
  • Cloud exposure (AWS, Azure, GCP)  
  • Hands-on experience with LLMs and AI frameworks  

Nice to Have / Coverage: 

  • ML/AI Engineering: Python, PyTorch, LangChain, MLOps  
  • Data Engineering: Databricks, Snowflake, Synapse, BigQuery  
  • Cloud/Data Architecture alignment across AWS, Azure, GCP  
  • AI Governance: Responsible AI and compliance considerations  

For more details reach at resumes@navitassols.com.