Archived listing. The details below describe a past opening.
Required Skills & Experience
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 10+ years of experience in software engineering, cloud architecture, or enterprise technology, including architect or technical leadership roles.
- 4+ years of experience designing and delivering AI-powered solutions, including LLM, RAG, and agentic AI architectures.
- Deep expertise in cloud architecture and modern AI platforms, with a strong emphasis on Microsoft Azure.
- Strong background in .NET/C# and Python, with the ability to guide architecture across complex distributed systems.
- Strong understanding of AI architecture patterns, including vector databases, embeddings, orchestration frameworks, model integration, and enterprise AI solution design.
- Experience establishing AI governance frameworks covering responsible AI, model risk management, security, privacy, and regulatory compliance.
- Experience defining DevOps, MLOps/LLMOps, observability, and AI lifecycle management practices at enterprise scale.
- Experience working within regulated industries such as healthcare, insurance, or financial services
Nice to Have Skills & Experience
- Experience with Azure OpenAI Service, Azure AI Search, GitHub Copilot, and enterprise AI adoption initiatives.
- Working knowledge of AWS and/or Google Cloud Platform (GCP).
- Experience developing solutions involving HIPAA, PHI, or other sensitive data environments.
- Master's degree in Computer Science, Engineering, Information Technology, or a related field.
Job Description
A leading healthcare client is making significant investments in enterprise AI and is seeking an experienced AI Architect to lead the strategy, design, and governance of AI-enabled solutions across the organization. The AI Architect will establish enterprise AI standards, evaluate emerging technologies, guide platform and vendor decisions, and provide architectural leadership across a growing portfolio of AI initiatives. This is a unique opportunity to shape the organization's AI roadmap and drive solutions that enhance business operations, customer experiences, and long-term innovation.
Key Responsibilities Include:
- Drive the enterprise AI architecture strategy and roadmap across platforms, applications, and engineering teams.
- Architect scalable, secure, and cost-efficient AI solutions leveraging Azure and modern AI technologies.
- Evaluate and govern AI platforms, models, and vendor solutions to maximize business value and reduce risk.
- Establish enterprise standards for responsible AI, security, privacy, compliance, and model governance.
- Define best practices for AI engineering, lifecycle management, observability, and AI-assisted development.
- Serve as a trusted advisor to business and technology leaders, providing architectural guidance and technical leadership across AI initiatives.