Lead Software Architect — Cloud, AI, Data Platforms

RSM US LLP; Phoenix (AZ); On-site; USD 127,000 - 224,000; Full time

Job summary

RSM US LLP is seeking a senior software architect to lead design and delivery of secure, cloud-native platforms that support complex business workflows and AI-enabled capabilities. You will guide architecture, engineering, and deployment practices across teams.

The role emphasizes building scalable, observable systems with deterministic execution, data provenance, and governance, while partnering with product, data, and security stakeholders to translate requirements into practical designs.

Qualifications

• Bachelor’s or master’s degree in computer science or related field.
• 5–7 years of software engineering experience with 2+ years in leadership.
• Experience delivering solutions in complex or regulated environments.
• Strong leadership and stakeholder management.
• Excellent problem-solving and architectural judgment.

Responsibilities

• Lead design, development, and delivery of secure, scalable cloud-native software platforms.
• Provide technical leadership across architecture and deployment practices.
• Design distributed systems, APIs, microservices, and data pipelines.
• Guide execution patterns: DAGs, idempotency, caching, and recomputation.
• Collaborate with product owners and data teams to translate requirements.
• Review technical deliverables for quality, security, and scalability.

Skills

Java

C#

Python

JavaScript/TypeScript

Rust

Cloud AWS/GCP

API design

DevOps

Distributed systems

Leadership

Stakeholder management

Education

Bachelor’s or Master’s in CS/SE

Tools

Kafka

Neo4j

LangChain

LlamaIndex

Pinecone

Weaviate

Milvus

Qdrant

Chroma

pgvector

vLLM

Job description

RSM US LLP is seeking a senior software architect to lead design and delivery of secure, cloud-native platforms that support complex business workflows and AI-enabled capabilities. You will guide architecture, engineering, and deployment practices across teams.

The role emphasizes building scalable, observable systems with deterministic execution, data provenance, and governance, while partnering with product, data, and security stakeholders to translate requirements into practical designs.