Enterprise Architect (AI/ML implementations ) Austin, Texas at The HT Group
Austin, Texas, USA -
Full Time


Start Date

Immediate

Expiry Date

19 Oct, 25

Salary

0.0

Posted On

20 Jul, 25

Experience

6 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Job Title: Enterprise Architect
Hybrid Austin (2 days remote with 3 days (Mondays, Tuesdays and Fridays)

JOB OVERVIEW:

We are seeking an experienced Enterprise Architect to design, develop, and maintain enterprise-level architectures that align with organizational goals and technical requirements. This role will focus on building scalable, secure, and resilient infrastructure, leading cloud migration initiatives, and advising on advanced AI/ML implementations across major cloud platforms.

Key Responsibilities:The enterprise architect will be responsible for:

  • Design and maintain enterprise-level architecture that aligns with organizational goals and technical requirements.
  • Develop scalable, secure, and resilient enterprise infrastructure, ensuring adherence to best practice.
  • Evaluate current infrastructure and identify components for cloud migration, creating a detailed migration strategy including timelines and resource allocation.
  • Implement and validate migration processes to ensure data integrity and system functionality.
  • Ensure compliance of architecture with industry standards and regulatory requirements.
  • Collaborate with stakeholders to understand business needs and translate them into technical solutions.
  • Advise on AI/Machine Learning/Deep Learning and generative AI projects, mapping relevant Azure, Google, and AWS services.
  • Analyze AI services to extract technical and business insights that inform reference architectures, runbooks, and training content.

Candidate Skills & Qualifications:Minimum Requirements:

Responsibilities
  • Design and maintain enterprise-level architecture that aligns with organizational goals and technical requirements.
  • Develop scalable, secure, and resilient enterprise infrastructure, ensuring adherence to best practice.
  • Evaluate current infrastructure and identify components for cloud migration, creating a detailed migration strategy including timelines and resource allocation.
  • Implement and validate migration processes to ensure data integrity and system functionality.
  • Ensure compliance of architecture with industry standards and regulatory requirements.
  • Collaborate with stakeholders to understand business needs and translate them into technical solutions.
  • Advise on AI/Machine Learning/Deep Learning and generative AI projects, mapping relevant Azure, Google, and AWS services.
  • Analyze AI services to extract technical and business insights that inform reference architectures, runbooks, and training content
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