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Senior Ai

  • Senior Ai job type Posted on: Nov 04, 2026
  • Senior Ai experience level ReqRoute Inc
  • Senior Ai employment type McLean, Virginia
  • Senior Ai salary Salary: $55 per hour
  • Senior Ai employment type Onsite
  • Senior Ai salary Full-time

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Job Title :

Senior Ai

Job Type :

Full-Time

Job Location :

McLean Virginia United States

Remote :

No

Jobcon Logo Job Description :

Role: Senior AI

Location: McLean, VA (Onsite)

Top 3 Skills:

  • AI Adoption & Enablement
  • AWS Kiro
  • Advanced SQL Development

Job Description / Responsibilities:

  • Lead AI adoption and enablement initiatives across business and technology teams.
  • Design, develop, and maintain cloud-native database solutions on AWS.
  • Build and optimize PostgreSQL databases for high availability, performance, and scalability.
  • Develop complex SQL queries, stored procedures, and data models.
  • Implement data pipelines and integrations to support AI/ML workloads.
  • Collaborate with architects, developers, and business stakeholders to define data strategies.
  • Monitor database performance, troubleshoot issues, and implement tuning recommendations.
  • Ensure security, compliance, backup, and disaster recovery standards are followed.
  • Support cloud migration, modernization, and automation efforts.

Jobcon Logo Position Details

Posted:

Nov 04, 2026

Reference Number:

9834-5611

Employment:

Full-time

Salary:

$55 per hour

City:

McLean

Job Origin:

CIEPAL_ORGANIC_FEED

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Role: Senior AI

Location: McLean, VA (Onsite)

Top 3 Skills:

  • AI Adoption & Enablement
  • AWS Kiro
  • Advanced SQL Development

Job Description / Responsibilities:

  • Lead AI adoption and enablement initiatives across business and technology teams.
  • Design, develop, and maintain cloud-native database solutions on AWS.
  • Build and optimize PostgreSQL databases for high availability, performance, and scalability.
  • Develop complex SQL queries, stored procedures, and data models.
  • Implement data pipelines and integrations to support AI/ML workloads.
  • Collaborate with architects, developers, and business stakeholders to define data strategies.
  • Monitor database performance, troubleshoot issues, and implement tuning recommendations.
  • Ensure security, compliance, backup, and disaster recovery standards are followed.
  • Support cloud migration, modernization, and automation efforts.

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