Sr. Software Architect

Actalent•Minneapolis, MN

75d•$175,000 - $200,000•Remote

About The Position

The role involves providing technical leadership to guide technology strategy across product solutions, ensuring the delivery of high-quality, business-aligned software. The Software Architect will collaborate with teams to design secure and scalable cloud infrastructure while leveraging modern full-stack technologies within a CI/CD environment.

Requirements

5+ years in software architecture, including 2+ years in AI/ML solution design with hands-on Generative AI, ML pipelines, and analytics.
Proficiency in programming languages such as C#, .NET Core, and frameworks like TensorFlow and PyTorch.
Experience with microservices, distributed systems, containers (Docker), Kubernetes (AKS), and Azure Service Fabric.
Expertise in SQL (Azure SQL) and NoSQL (Cosmos DB) for data management.
Deep expertise in Microsoft Azure, including Azure ML, OpenAI, Cognitive Services, Functions, Data Lake, and Synapse.
Familiarity with Azure DevOps, CI/CD pipelines, ARM templates, and a strong understanding of cloud security, data governance, and AI compliance.
Proven ability to design and deliver rapid prototypes/POCs using Azure AI and cloud services.

Responsibilities

Collaborate with Product Management and cross-functional teams to design and implement AI/ML-powered features, including Generative AI and predictive analytics.
Define and maintain architectural principles and frameworks focused on cloud-native, AI-first solutions aligned with business goals.
Drive architectural vision and build consensus across engineering teams, incorporating scalable AI/ML pipelines and GenAI technologies.
Promote reusability of code, models, and AI components to accelerate delivery of intelligent features.
Lead rapid prototyping and proof of concepts for AI/ML and GenAI features to validate with beta customers.
Advocate for Agile methodologies and modern engineering practices.
Research and apply emerging trends in Generative AI, machine learning, analytics, and cloud computing to drive innovation.
Utilize cloud platforms and MLOps tools to improve time-to-market and operational efficiency.
Ensure compliance with security, data governance, and model lifecycle standards.
Produce and maintain architecture diagrams, system models, and solution artifacts.
Participate in Agile ceremonies and code/model reviews; mentor teams on AI/ML patterns, responsible AI, and cloud architecture.
Lead innovation efforts using GenAI to explore new product capabilities and workflows.