TL;DR

Senior Solutions Architect (AI, GenAI, ML): Designs and modernizes complex solution architectures supporting business strategy and streamlining technology-enabled workflows, with an accent on AI, Generative AI, and machine learning. Focus on creating strategies for cloud migration, designing scalable AI/ML solutions, defining GenAI patterns, and establishing best practices for MLOps and AI operations.

Location: Remote (US Nationwide)

Salary: $125,400.00 - $181,875.00

Company

%hirify_global% is a company focused on transforming financial lives by %hirify_global%ing its people with flexible work and fluid career paths.

What you will do

Lead discovery with business and technology partners to understand objectives and constraints.
Document current-state architecture and define target-state designs, including system context diagrams and integration patterns.
Design and modernize applications into cloud-compatible or cloud-native architectures using microservices, serverless, and event-driven patterns.
Design AI and ML-enabled solutions, including model integration and scalable inference.
Define Generative AI solution patterns such as retrieval-augmented generation and prompt management.
Establish best practices for MLOps and AI operations, including model versioning, deployment, monitoring, and cost management.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Business, or equivalent practical experience.
Must be authorized to work for any employer in the U.S. (No sponsorship available, including CPT/OPT)
5+ years of experience in agile software delivery environments with increasing architecture and design responsibility.
Demonstrated experience designing distributed systems using microservices or serverless patterns.
Experience designing and integrating AI and ML capabilities into applications, including model serving considerations.
Experience with one or more languages such as Java, Python, Node.js, or Scala.
Experience with data persistence technologies across SQL and NoSQL.
Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and core cloud design patterns.
Working knowledge of CI/CD pipelines and DevOps practices.
Reliable high-speed wired internet connection and a dedicated home workspace required for remote positions.

Nice to have

Hands-on experience with GenAI and LLM solutions, including retrieval-augmented generation and embeddings.
Experience with AI and ML platforms or services, such as AWS SageMaker, Amazon Bedrock, Azure AI, Azure OpenAI, or Google Vertex AI.
Infrastructure-as-Code experience, such as Terraform or CloudFormation.
Container and orchestration experience, such as Docker and Kubernetes.
Experience with vector databases and search technologies.
Familiarity with responsible AI practices, governance controls, and security considerations specific to AI systems.

Culture & Benefits

Flexible work environment with fluid career paths and internal mobility.
Medical, dental, vision, and life insurance.
401(k) plan with generous company matching contributions (up to 6%) and financial advisory services.
Tuition reimbursement up to $5,250/year.
Generous paid time off, including ten paid company holidays and three floating holidays.
Paid volunteer time – 16 hours per calendar year.
Leave of absence programs, including paid parental leave and short- and long-term disability.