TL;DR

Senior Solutions Architect (AI, GenAI, ML): Designing and modernizing complex cloud-based solution architectures focusing on emerging technologies like AI, Generative AI, and machine learning. Focus on developing strategies for AI and ML-enabled solutions, defining reference architectures for AI platforms, and establishing MLOps best practices.

Location: Remote - Nationwide (U.S. only). Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.

Salary: $125,400.00 - $181,875.00

Company

%hirify_global% is a financial services company transforming financial lives by giving its people the freedom to transform their own, fostering a flexible work environment and fluid career paths.

What you will do

Lead discovery with business and technology partners to understand objectives, constraints, and current systems.
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, scalable inference, and low-latency serving.
Design Generative AI solution patterns, such as retrieval-augmented generation, tool and API integration, and prompt management.
Establish best practices for MLOps and AI operations, including model versioning, deployment, and monitoring.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Business, or equivalent practical experience.
5+ years of experience in agile software delivery environments with increasing architecture and design responsibility.
Demonstrated experience designing distributed systems using microservices and/or serverless patterns.
Experience designing and integrating AI and ML capabilities into applications.
Experience with one or more languages such as Java, Python, Node.js, or Scala.
Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and core cloud design patterns.
English: B2 required.

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 encouraged.
Medical, dental, vision, and life insurance.
401(k) plan with generous company matching contributions and financial advisory services.
Tuition reimbursement up to $5,250/year.
Generous paid time off, including a paid time off program, ten paid company holidays, and three floating holidays.
Paid parental leave, short- and long-term disability, and Family and Medical Leave (FMLA).