Sr. Software Architect

Actalent-posted 25 days ago
$175,000 - $200,000/Yr
Full-time • Mid Level
Remote • Minneapolis, MN
1,001-5,000 employees
Administrative and Support Services
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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.

  • 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.
  • 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.
  • 401K Match
  • PTO
  • Competitive Health Coverage
  • Career Development - ability to take on stretch assignments
  • Business Systems that are valuable in career development
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