Senior Applied AI Architect for Federal Regulators

Amazon Web Services (AWS)

Arlington (VA)

On-site

USD 154,000 - 208,000

Full time

14 days+
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Job summary

Amazon Web Services, Inc. is seeking a Senior Applied AI Solutions Architect to support Federal Financial Regulatory customers in the Arlington, VA and Washington, DC area. U.S.

citizenship and ability to obtain/maintain a security clearance are required. You will lead design and delivery of applied AI/ML solutions for regulatory workflows, document processing, and decision support, collaborating with AWS teams to drive customer adoption and develop reference architectures and field enablement

Qualifications

  • 8+ years of technology domain experience (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
  • 3+ years of design, implementation, or consulting in applications and infrastructures.
  • 10+ years of IT development or implementation/consulting in software or Internet industries.

Responsibilities

  • Design applied AI solutions for federal financial regulatory agencies to automate workflows and reduce costs.
  • Collaborate with specialists and generalist SAs to enable large-scale AI/ML use cases.
  • Create white papers, reference architectures, and field enablement materials for AI on AWS.

Skills

Software development
Cloud computing
Systems engineering
Infrastructure
Security
Networking
Data & analytics

Education

Associate degree or above / CASP+ / CCSP / Cloud+ / CSSLP

Job description

Amazon Web Services, Inc. is seeking a Senior Applied AI Solutions Architect to support Federal Financial Regulatory customers in the Arlington, VA and Washington, DC area. U.S.

citizenship and ability to obtain/maintain a security clearance are required. You will lead design and delivery of applied AI/ML solutions for regulatory workflows, document processing, and decision support, collaborating with AWS teams to drive customer adoption and develop reference architectures and field enablement

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