Java Solution Architect with Gen AI

Ethereum Technologies; McLean (VA); Presencial; USD 85.000 - 121.000; Jornada completa

Descripción de la vacante

Ethereum Technologies in McLean, VA is seeking a Java Solution Architect with Gen AI to lead large-scale Java applications. You will define target-state architectures, roadmaps, and reference patterns to modernize legacy systems and enable cloud-native delivery.

The role requires hands-on Java/J2EE experience, Spring Boot, and strong AI/ML capabilities to integrate GenAI/LLMs into enterprise apps, while aligning with security and governance standards.

Formación

• 10+ years of software engineering, application development, and Solution Architecture experience.
• Strong hands-on development background in Java/J2EE.
• Strong experience with Spring/Spring Boot, Microservices, REST APIs, and distributed systems.
• Strong understanding of enterprise integration patterns, software design patterns, architecture principles, and reference architectures.
• Hands-on architectural experience with modern cloud-native applications.
• Proven experience modernizing/re-platforming large legacy enterprise applications to the cloud.
• Strong understanding of platform and application security architecture patterns.
• Practical experience with AI/ML and Generative AI and demonstrated ability to apply these technologies to solve business problems.
• Experience or strong understanding of GenAI/LLM integration with enterprise applications.
• Experience working with both legacy and modern cloud-based distributed systems.

Responsabilidades

• Provide technical and architectural leadership for large-scale enterprise Java applications.
• Define solution architecture, high-level solution designs, target-state architecture, and technology roadmaps.
• Design scalable applications using Java/J2EE, Spring Boot, microservices, REST APIs, distributed systems, and cloud-native architecture.
• Define and maintain reference architectures, enterprise integration patterns, design patterns, and architecture standards.
• Lead the modernization and re-platforming of legacy enterprise applications to cloud environments.
• Design architectures across application, integration, technology, security, information, and deployment layers.
• Develop architectural roadmaps to support new business capabilities and enterprise transformation initiatives.
• Identify and implement appropriate AI/ML and Generative AI use cases within enterprise applications.
• Architect integration of GenAI, LLM, and AI/ML capabilities with Java-based enterprise applications.
• Ensure AI solutions align with enterprise security, risk, governance, and architecture standards.
• Collaborate with Product Owners, Business Architects, Engineering Leads, Enterprise Architects, and Security/Risk teams.
• Conduct architecture and design reviews to ensure engineering solutions follow established standards and patterns.
• Evaluate emerging technologies and solution alternatives based on scalability, performance, security, operational efficiency, and cost.
• Participate in technical POCs, vendor/product evaluations, and architecture governance reviews.
• Develop reusable reference implementations and application design patterns.
• Provide architectural guidance throughout development, testing, deployment, production support, and incident resolution.

Conocimientos

Java/J2EE

Spring Boot

Microservices

REST APIs

Distributed systems

AI/ML

GenAI/LLM integration

Cloud-native

Architecture leadership

Security architecture

Educación

Bachelor's degree

Advanced degree preferred

Herramientas

AWS

Azure

GCP

Descripción del empleo

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Java Solution Architect with Gen AI

Location: McLean,VA

Duration: 8 Months + Extension

Bill Rate: $75/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

Key Responsibilities

• Provide technical and architectural leadership for large-scale enterprise Java applications.
• Define solution architecture, high-level solution designs, target-state architecture, and technology roadmaps.
• Design scalable applications using Java/J2EE, Spring Boot, microservices, REST APIs, distributed systems, and cloud-native architecture.
• Define and maintain reference architectures, enterprise integration patterns, design patterns, and architecture standards.
• Lead the modernization and re-platforming of legacy enterprise applications to cloud environments.
• Design architectures across application, integration, technology, security, information, and deployment layers.
• Develop architectural roadmaps to support new business capabilities and enterprise transformation initiatives.
• Identify and implement appropriate AI/ML and Generative AI use cases within enterprise applications.
• Architect integration of GenAI, LLM, and AI/ML capabilities with Java-based enterprise applications.
• Ensure AI solutions align with enterprise security, risk, governance, and architecture standards.
• Collaborate with Product Owners, Business Architects, Engineering Leads, Enterprise Architects, and Security/Risk teams.
• Conduct architecture and design reviews to ensure engineering solutions follow established standards and patterns.
• Evaluate emerging technologies and solution alternatives based on scalability, performance, security, operational efficiency, and cost.
• Participate in technical POCs, vendor/product evaluations, and architecture governance reviews.
• Develop reusable reference implementations and application design patterns.
• Provide architectural guidance throughout development, testing, deployment, production support, and incident resolution.

Required Qualifications

• 10+ years of software engineering, application development, and Solution Architecture experience.
• Strong hands-on development background in Java/J2EE.
• Strong experience with Spring/Spring Boot, Microservices, REST APIs, and distributed systems.
• Strong understanding of enterprise integration patterns, software design patterns, architecture principles, and reference architectures.
• Hands-on architectural experience with modern cloud-native applications.
• Proven experience modernizing/re-platforming large legacy enterprise applications to the cloud.
• Strong understanding of platform and application security architecture patterns.
• Practical experience with AI/ML and Generative AI and demonstrated ability to apply these technologies to solve business problems.
• Experience or strong understanding of GenAI/LLM integration with enterprise applications.
• Experience working with both legacy and modern cloud-based distributed systems.
• Strong communication, stakeholder management, collaboration, and technical leadership skills.

Preferred Qualifications

• Bachelor's degree or equivalent professional experience; advanced degree preferred.
• 5+ years of technical or architecture leadership experience.
• 3+ years of large-scale enterprise transformation or application modernization experience.
• Experience with AWS, Azure, or GCP.
• Experience with Generative AI, LLMs, AI/ML platforms, and enterprise AI integration.
• Experience working within enterprise architecture, security, risk, and governance frameworks.
• Financial services, banking, lending, or mortgage domain experience is desirable.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.