Senior Gen AI Solutions Architect — Cloud & ML

Empower

United States

Remote

USD 150,000 - 210,000

Full time

5 days ago
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Job summary

Empower is seeking a Solution Architect to provide technical leadership in designing scalable, secure cloud-based solutions. You will partner with business owners, product, data, and engineering teams to map current-state systems to target architectures, focusing on AI/GenAI, ML, and modern cloud patterns.

You will drive integration strategies, define reference architectures, and ensure security, governance, and operational readiness across initiatives.

Qualifications

  • Bachelor's degree in CS/Engineering or equivalent.
  • 5+ years in agile software delivery with increasing architecture responsibility.
  • Experience designing distributed systems with microservices or serverless.
  • Experience integrating AI/ML capabilities into applications, model serving and data dependencies.

Responsibilities

  • Lead discovery with business and technology partners to define objectives and integration points.
  • Document current-state architectures and design target-state solutions.
  • Modernize apps into cloud-native architectures using microservices and serverless patterns.
  • Create roadmaps and migration designs for cloud platforms.
  • Design AI/ML-enabled solutions and integration into products with scalable inference.
  • Define reference architectures for AI platforms, data pipelines, and security controls.
  • Incorporate security-by-design practices including IAM, encryption, and audit logging.
  • Collaborate with governance to address privacy, explainability, and model risk controls.
  • Support testing, validation, and issue triage during development and production.

Skills

Leadership
Communication
Stakeholder management
Analytical thinking

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

Java
Python
Node.js
Scala
SQL
NoSQL
AWS
Azure
Google Cloud
Docker
Kubernetes
GenAI / ML platforms

Job description

Empower is seeking a Solution Architect to provide technical leadership in designing scalable, secure cloud-based solutions. You will partner with business owners, product, data, and engineering teams to map current-state systems to target architectures, focusing on AI/GenAI, ML, and modern cloud patterns.

You will drive integration strategies, define reference architectures, and ensure security, governance, and operational readiness across initiatives.

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