Technical Enterprise Architect

Hybrid in Austin, TX, US • Posted 9 hours ago • Updated 9 hours ago
Contract W2
No Travel Required
Remote
Depends on Experience
Fitment

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Job Details

Skills

  • Azure
  • AI
  • technology architecture
  • enterprise applications
  • pension/benefits
  • modernization
  • executive level communication
  • Artificial Intelligence

Summary

We are looking for a Technical Enterprise Architect (AI Specialist) for a long-term contract opportunity in Austin, Texas.
 

Responsibilities:

• Define and lead the overall technology architecture and target-state design for large-scale pension/benefits modernization initiatives
• Establish architectural standards, patterns, and governance processes across multiple initiatives and workstreams
• Provide architecture oversight and ensure alignment across business objectives, implementation teams, and technical solutions
• Design and guide cloud, integration, and AI architecture decisions, with a strong focus on Azure platforms
• Lead the development of AI-based data reconciliation frameworks that are automated, repeatable, and auditable
• Architect and implement solutions for complex data migration and data reconciliation efforts
• Serve as a trusted technical advisor and Subject Matter Expert (SME) for internal and external stakeholders
• Provide input into customer presentations, technical documentation, and training for ERS staff
• Lead and direct technical teams in the execution of architecture strategies and deliverables
• Ensure adherence to organizational standards, including cost modeling, approvals, and governance processes
• Maintain deep knowledge of pension/benefits systems, industry standards, and internal services
• Collaborate with cross-functional teams to ensure successful delivery of enterprise-scale solutions
• Perform other duties as assigned
• Apply deep expertise in AI architecture, cloud design, and integration architecture
• Design and deliver data migration and data reconciliation solutions
• Build AI-driven data reconciliation frameworks and automation processes
• Architect large, complex pension/benefits modernization solutions
• Provide expert-level technical guidance as a trusted advisor
• Communicate effectively with stakeholders, including executive-level presentations
• Work independently while managing multiple priorities and delivering complex solutions
• Demonstrate creativity, strategic thinking, and problem-solving in solution design

 

You:

• 25+ years experience in Information Technology
• 25+ years experience in pension/benefits systems development and modernization
• 10+ years experience in integration architecture and enterprise-scale system design
• 3+ years experience with Azure cloud platforms
• 3+ years experience implementing AI-based solutions
• Experience working with public pension or government benefit systems preferred.
• Experience with large-scale enterprise modernization initiatives preferred.
• Experience with governance frameworks and architectural review processes preferred.

 

What We Offer:

• Hybrid & Remote Work Available. 
• Competitive compensation and benefits, including health, dental, vision, life, accident, and disability insurance.
• Great work-life balance.

 

This is a long-term contract opportunity in Austin, Texas and no sponsorship can be provided. To apply, please email resumes to Candidates must be able to pass a background check. Luna Data Solutions, Inc. (LDS) provides equal employment opportunities to all employees. All applicants will be considered for employment. LDS prohibits discrimination and harassment of any type regarding age, race, color, religion, sexual orientation, gender identity, sex, national origin, genetics, protected veteran status, and/or disability status.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10314722
  • Position Id: 5357E
  • Posted 9 hours ago
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