7 часов назад
AI Solution Architect-Research Office Managed Services (AI)
155 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Solution Architect-Research Office Managed Services (AI) (Machine Learning/Generative AI): Designing and implementing scalable AI-powered solutions across client-facing projects with an accent on data pipelines, model orchestration, API development, and enterprise integration. Focus on applying LLMs, embeddings, RAG, AI agents, and emerging orchestration protocols to build secure production-ready architectures across cloud, on-premises, and hybrid environments.
Location: Remote role associated with Chicago, United States
Salary: $155,000–$175,000 base annual salary; estimated total compensation including annual incentive compensation: $178,250–$218,750.
Company
collaborates with higher education organizations and academic medical centers to improve performance, implement technology, and support sustainable institutional change.
What you will do
- Design AI-powered solutions across multiple client-facing projects, aligning architecture with technical feasibility and client goals.
- Develop reusable architectural patterns, components, and design practices for experimental and production-ready AI initiatives.
- Evaluate system constraints and platform environments to recommend scalable and secure cloud, on-premises, or hybrid architectures.
- Make architectural decisions for data pipelines, model orchestration, APIs, observability, and enterprise-system integration.
- Apply machine learning, generative AI, LLMs, embeddings, RAG, AI agents, tool use, function calling, and MCP to solution designs.
- Review technical designs, contribute to code and system architecture, mentor junior engineers, and collaborate with delivery leads and client stakeholders.
Requirements
- 8+ years of experience in software engineering or AI/ML development, including 2+ years in solution design or architecture.
- Experience designing AI-powered solutions using machine learning, data pipelines, or generative AI APIs.
- Hands-on experience with Python, AI/ML frameworks, and API development.
- Understanding of enterprise architecture, production-oriented environments, cloud platforms such as Azure and AWS, and containerized environments.
- Ability to collaborate with technical and non-technical stakeholders and translate technical requirements into business goals.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
Nice to have
- Exposure to generative AI frameworks and agent orchestration tools.
- Certifications in Azure, Google Cloud Platform, or Amazon Web Services.
- Advanced degree or additional certifications.
Culture & Benefits
- Full-time position in a client-facing, agile, project-based environment.
- Opportunity to contribute to internal AI architecture standards and best practices.
- Medical, dental, and vision coverage.
- Wellness programs and eligibility for annual incentive compensation.
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