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Senior AI Growth Engineer
Компания: Beyond-ED
Город: Atlanta
**About the Role**
A growing technology consulting firm **seeks an AI Growth Engineer (Solutions Architect) to expand its AI, data, and cloud practice.**
**Must be Authorized to work in the USA..**
This hybrid role combines customer engagement, solution architecture, hands-on engineering, and business growth. You will work with customers to understand complex business challenges, shape technical solutions, build prototypes, and deliver enterprise-grade systems through production deployment.
The ideal candidate is a senior hands-on architect or lead engineer who combines strong technical expertise with commercial awareness, customer-facing skills, and technical leadership.
**Required Qualifications**
\* Degree in Computer Science or equivalent practical experience.
\* At least **5 years of hands-on software engineering experience**, ideally **8+ years in complex enterprise environments.**
\* Strong communication and stakeholder management skills across technical and business audiences.
\* Experience with customer workshops, solution consulting, proposal development, and effort estimation.
\* Proven ability to **build prototypes and MVPs and evolve them into production-ready solutions.**
\* Practical experience implementing Generative AI solutions, including LLMs, prompt engineering, context engineering, and AI-assisted development tools.
\* Experience designing distributed systems and microservices on AWS and/or Azure.
\* Hands-on enterprise experience with Apache Kafka is required.
\* Strong expertise in **Java and Spring Boot.**
\* Strong **Elasticsearch experience highly preferred.**
\* Familiarity with **React or Angular and enterprise application architectures.**
**\* Authorization to work in the United States.**
\* Fluency in English.
**Preferred Qualifications**
\* Experience with Databricks; Snowflake experience
\* Enterprise architecture experience, including technology roadmaps, integration strategies, architecture governance, and modernization initiatives.
\* Consulting or professional services experience across multiple clients and projects.
\* Certifications in AWS, Azure, Databricks, Confluent, Elastic, or related technologies.
\* Industry experience in financial services, insurance, retail, manufacturing, or life sciences.
\* Knowledge of DataOps, CI/CD, and automated data pipelines.
\* Experience with Liferay or other enterprise platforms.
\* Public speaking, technical writing, conference presentations, or open-source contributions.
\* German or Spanish language skills for collaboration with international teams.
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