AI Architect
RemoteHunter · United States
This listing has closed — view similar roles below.
- Hybrid
- Full-time
- $210,000 / year
- United States
Job highlights
- Lead AI architecture design and maintenance.
- Ensure scalable and secure AI solutions.
- Collaborate with agile teams and stakeholders.
- Drive AI innovation and adoption.
- Provide technical leadership and mentorship.
About the role
About Our Client
The organization operates within the technology and IT services industry, focusing on driving AI transformation across various business lines. It addresses the challenge of integrating advanced AI capabilities into enterprise operations through agile teams and innovative architectural frameworks. With over 14,000 employees globally, substantial revenue, and a commitment to social contributions, the program maintains a strong presence and influence in the technology sector. It has been recognized on a global scale for workplace excellence and industry achievements.About the Opportunity
The AI Architect will lead the design and maintenance of the architectural framework supporting the organization’s AI initiatives. This role is crucial to ensuring that AI solutions are scalable, secure, and consistent across multiple agile teams. The position involves providing technical leadership, collaborating with cross-functional stakeholders, and fostering innovation in AI architecture. The role’s impact extends to shaping the future of AI within the organization and enhancing business operations through strategic technology guidance.Responsibilities
- Develop and maintain the architectural blueprint for AI agent development and deployment
- Serve as the architectural expert guiding agile teams in technical decision-making
- Collaborate with platform engineers to design scalable, secure infrastructure using Infrastructure as Code (IaC)
- Translate business requirements into technical solutions through cross-functional partnership
- Enforce architectural governance through design reviews, audits, and feedback
- Evaluate emerging AI technologies and recommend adoption to maintain innovation
- Provide technical mentorship to engineers, promoting continuous learning and excellence
Requirements
- Minimum 8 years of software development experience with at least 3 years in application or enterprise architecture focused on AI, machine learning, or data-intensive applications
- Expertise in cloud-native architectures and AI/ML lifecycle management including MLOps
- Extensive experience with Azure and Google Cloud Platform (GCP)
- Proficiency with data lakehouse architectures, specifically Databricks
- Hands-on experience with IaC tools such as Terraform, Azure Bicep, or Pulumi
- Strong programming skills in Java and Python; familiarity with React is a plus
- Excellent communication and interpersonal skills to influence and lead teams without direct authority
- Strong analytical and strategic problem-solving abilities
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Pay Range and Compensation Package
- $200,000 to $210,000 base salary annually plus variable incentive bonus
Equal Opportunity Statement
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.Key skills/competency
- AI Architecture
- Cloud-Native Architectures
- AI/ML Lifecycle Management
- MLOps
- Azure
- Google Cloud Platform (GCP)
- Infrastructure as Code (IaC)
- Databricks
- Java
- Python
Skills & topics
- AI Architect
- Artificial Intelligence
- Machine Learning
- Cloud Architecture
- Azure
- GCP
- MLOps
- IaC
- Databricks
- Java
- Python
- Enterprise Architecture
- Software Development
- Technical Leadership
- Remote
How to get hired
- Tailor your resume: Highlight AI architecture, cloud platforms (Azure, GCP), IaC, and MLOps experience.
- Showcase your impact: Quantify achievements in previous AI/ML projects and architectural leadership roles.
- Prepare for technical questions: Be ready to discuss cloud-native design, AI/ML lifecycles, and IaC tools.
- Demonstrate collaboration: Emphasize your experience working with agile teams and translating business needs into technical solutions.
- Research the company: Understand their AI transformation goals and how your expertise aligns with their vision.
Technical preparation
Master cloud-native design patterns.,Deep dive into AI/ML lifecycle management.,Practice IaC with Terraform or Bicep.,Review Databricks data lakehouse concepts.
Behavioral questions
Describe leading architectural decisions.,How do you mentor junior engineers?,How do you translate business needs?,Explain enforcing architectural governance.
Frequently asked questions
- What is the salary range for the AI Architect role at RemoteHunter?
- The AI Architect role offers a base salary between $200,000 and $210,000 annually, plus a variable incentive bonus.
- What are the primary cloud platforms required for the AI Architect position?
- This role requires extensive experience with both Azure and Google Cloud Platform (GCP).
- Is this an on-site, hybrid, or remote position?
- This AI Architect position is a remote role.
- What programming languages are essential for the AI Architect job?
- Strong programming skills in Java and Python are required. Familiarity with React is considered a plus.
- Does the AI Architect role involve managing a team?
- While the role involves technical leadership and mentorship, it does not explicitly state direct people management responsibilities. The focus is on guiding agile teams and influencing without direct authority.
- What experience is needed in Infrastructure as Code (IaC)?
- Hands-on experience with IaC tools such as Terraform, Azure Bicep, or Pulumi is required for designing scalable and secure infrastructure.
- What is the minimum software development experience required for this AI Architect role?
- A minimum of 8 years of software development experience is required, with at least 3 years specifically in application or enterprise architecture focused on AI, machine learning, or data-intensive applications.
- What are the key architectural frameworks mentioned for AI initiatives?
- The role involves leading the design and maintenance of architectural frameworks for AI agent development and deployment, focusing on scalability, security, and consistency across agile teams.