Senior Solutions Architect, AI & Emerging Tech (Remote)

Empower; United States; On-site; USD 109,125 - 181,875; Full time

Benefits offered by this job

401(k) matching

Tuition reimbursement

Paid time off

Volunteer time

Job summary

Empower is seeking a Senior Solutions Architect to lead complex cloud architectures, partnering with product, data, and engineering teams to design scalable, secure AI-enabled solutions. You will guide migration to cloud platforms, define reference architectures, and establish MLOps practices with a focus on responsible AI and governance.

You will mentor teams, drive adoption, and ensure alignment on tradeoffs, risks, and value across stakeholders while supporting testing, validation, and

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Business, or equivalent practical experience.

Responsibilities

• Lead discovery with business and technology partners to understand objectives, constraints, current-state systems, and integration points.
• Document current-state architecture and define target-state designs including system context diagrams, component designs, integration patterns, and data flows.
• Design and modernize applications into cloud-compatible or cloud-native architectures using microservices, serverless, and event-driven patterns where appropriate.
• Create strategies, roadmaps, and migration designs for transitioning applications and data workloads to cloud platforms.
• Design AI and ML-enabled solutions, including model integration into products and business processes, and patterns for scalable inference and low-latency serving where needed.
• Design Generative AI solution patterns, such as retrieval-augmented generation, tool and API integration, prompt and context management, and evaluation approaches.
• Define reference architectures for AI platforms and enabling capabilities, such as data pipelines, feature and embedding generation, vector storage, model endpoints, and integration with enterprise APIs.
• Establish best practices for MLOps and AI operations, including model versioning, deployment, monitoring, drift detection, incident response, and cost management.
• Incorporate security-by-design practices into architectures, including identity and access controls, encryption, secrets management, secure networking, and audit logging.
• Partner with governance and risk stakeholders to ensure responsible AI considerations are incorporated, including privacy, explainability, safety, compliance, and model risk controls as applicable.
• Drive alignment and adoption of proposed solutions by clearly communicating tradeoffs, risks, and value and obtaining stakeholder alignment and governance approvals.
• Support teams responsible for testing and validation and help triage and resolve design-related issues found during development, UAT, or production.
• Perform other duties as assigned

Skills

Agile software delivery

Distributed systems design

AI/ML integration

Cloud platforms

CI/CD & DevOps

Strong communication

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS

Azure

Google Cloud

Terraform

Docker

Kubernetes

SageMaker / Bedrock / Vertex AI

Job description

Empower is seeking a Senior Solutions Architect to lead complex cloud architectures, partnering with product, data, and engineering teams to design scalable, secure AI-enabled solutions. You will guide migration to cloud platforms, define reference architectures, and establish MLOps practices with a focus on responsible AI and governance.

You will mentor teams, drive adoption, and ensure alignment on tradeoffs, risks, and value across stakeholders while supporting testing, validation, and