2 дня назад
Managing Solution Architect (Cloud, Data Analytics and AI)
150 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Managing Solution Architect (Cloud, Data Analytics and AI): Designing and implementing end-to-end cloud, data, and AI platforms with an accent on hands-on engineering, generative AI, scalable architectures, and technical delivery. Focus on building production-grade data pipelines and AI systems, developing prototypes and proof-of-concepts, and leading migrations, deployment automation, and complex technical implementations.
Location: Chicago, United States
Salary: $150,000–$220,000 per year
Company
is a global business and technology transformation partner delivering strategy, design, engineering, cloud, data, and AI services.
What you will do
- Design architecture blueprints and implement end-to-end cloud, data analytics, and AI platforms.
- Lead coding, technical builds, prototypes, and production engineering with development teams and clients.
- Execute cloud and platform migrations and modernize technology stacks across data, analytics, and AI domains.
- Translate data lake, event-driven, domain-driven, and modular microservices patterns into functional application stacks.
- Support presales through proof-of-concept builds and implementation-oriented technical pricing.
- Lead engineering sprint teams, deployment pipelines, environment configuration, and resolution of critical delivery blockers.
Requirements
- At least 14 years of IT experience, including at least 6 years in architecture roles.
- Bachelor’s or master’s degree in computer science, information systems, or a related technology field.
- Expert hands-on programming skills in Spark, Scala, and Java in AWS, Azure, or Google Cloud environments.
- Strong experience with generative AI, prompt engineering, LLM fine-tuning, RAG, vector databases, agent development, orchestration, and MLOps/LLMOps.
- Experience with data engineering, data lakes and warehouses, microservices, event-driven platforms, streaming and batch pipelines, and modern database systems.
- Hands-on DataOps, DevOps, and delivery automation experience with GitHub Actions, Jenkins, Terraform, and Git in Agile environments.
Culture & Benefits
- Permanent, full-time employment for experienced professionals.
- Paid vacation of 12–25 days based on employee grade, plus company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage.
- Retirement savings plans, including 401(k) in the United States.
- Life and disability insurance and employee assistance programs.
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