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Job Details

Skills

Amazon Web Services
Artificial Intelligence
Google Cloud
Generative Artificial Intelligence (AI)
Java

Summary

Day to Day Job Duties: (what this person will do on a daily/weekly basis)

Design end-to-end architecture for scalable, secure, resilient enterprise applications using Java, Spring Boot, microservices, APIs, and event-driven patterns.
Lead cloud-native application modernization and migration initiatives across AWS, Microsoft Azure, or Google Cloud, including containerization and platform transformation.
Define solution blueprints, integration patterns, data flows, non-functional requirements, and architecture standards aligned with enterprise technology and security guidelines.
Architect and integrate AI-enabled capabilities such as generative AI, intelligent agents, retrieval-augmented generation, prompt workflows, and enterprise knowledge assistants.
Evaluate and select appropriate cloud services, AI models, frameworks, vector databases, and integration technologies based on scalability, latency, security, cost, and business requirements.
Collaborate with product owners, business stakeholders, enterprise architects, developers, data teams, DevOps, infrastructure, and cybersecurity teams throughout the delivery lifecycle.
Provide technical leadership to engineering teams through design reviews, code reviews, proof-of-concept development, troubleshooting, performance optimization, and mentoring.
Ensure solutions incorporate security, privacy, responsible AI, observability, high availability, disaster recovery, and regulatory compliance requirements.
Define CI/CD, infrastructure-as-code, deployment, monitoring, logging, and production support approaches for cloud-based Java and AI applications.
Support technical estimations, proposal development, architecture presentations, vendor evaluations, risk identification, and delivery planning.

Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)

Minimum 12+ years of experience in software engineering, application architecture, or solution architecture, including at least 5+ years designing enterprise-scale solutions.
Minimum 8+ years of hands-on experience with Java, Spring Boot, REST APIs, microservices, distributed systems, and enterprise integration patterns.
Minimum 4+ years of experience designing and delivering solutions on AWS, Microsoft Azure, or Google Cloud using cloud-native services.
Minimum 3+ years of experience with Docker, Kubernetes or OpenShift, CI/CD pipelines, infrastructure-as-code, and DevOps practices.
Minimum 2+ years of experience designing or integrating AI solutions using large language models, generative AI, AI agents, RAG, embeddings, prompt engineering, or vector databases.
Strong experience with Kafka or other messaging platforms, API gateways, relational and NoSQL databases, caching, and event-driven architecture.
Experience with AI platforms or frameworks such as OpenAI, Azure OpenAI, Amazon Bedrock, LangChain, LlamaIndex, Semantic Kernel, or equivalent technologies.
Strong knowledge of application security and identity standards including OAuth 2.0, OpenID Connect, JWT, IAM, encryption, and role-based access controls.
Demonstrated ability to communicate complex architecture concepts to technical and non-technical stakeholders and lead cross-functional engineering teams.

Degree: Bachelor''s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent work experience.

Must have skillset:

Experience with Python and AI application development using FastAPI, Flask, or similar frameworks.
Experience building enterprise AI assistants, autonomous or semi-autonomous agents, and knowledge-based applications.
Familiarity with model evaluation, hallucination and bias testing, AI governance, model monitoring, and MLOps practices.
Experience with Snowflake, Databricks, data lakes, streaming platforms, or modern enterprise data architectures.
Experience in financial services, retirement services, wealth management, insurance, or another highly regulated industry.
Cloud architecture, Java, Kubernetes, or AI-related professional certifications.
Pre-sales, consulting, proposal development, estimation, and client presentation experience.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91089048
Position Id: 9047826
Posted 5 hours ago

Company Info

About GG Tech Global

GG Tech Global ( G3 ) is a specialized IT consultancy firm that excels in providing comprehensive services in digital transformation consulting, enterprise architecture consulting, test advisory, and more. With a strong commitment to driving innovation and empowering businesses, G3 helps organizations navigate the complex digital landscape and unlock their full potential.

Digital Transformation Technology Consulting:
G3 understands the critical role of digital transformation in today's fast-paced business environment. Their expert consultants work closely with clients to develop tailored strategies and roadmaps for successful digital transformations. By analyzing business processes, identifying technological opportunities, and aligning organizational objectives, G3 enables clients to embrace digital disruption, enhance agility, and achieve sustainable growth.

Enterprise Architecture Consulting:
Effective enterprise architecture forms the foundation for successful digital transformations. G3tech's experienced architects provide in-depth expertise in designing and optimizing enterprise architectures that align with business goals. By conducting thorough assessments, defining target architectures, and developing implementation plans, G3tech ensures that clients' technology landscapes are optimized for scalability, flexibility, and future-proofing.

Test Advisory:
Quality assurance and testing play a crucial role in delivering reliable and robust digital solutions. G3 offers comprehensive test advisory services, leveraging industry best practices and cutting-edge tools and methodologies. Their experienced testing professionals assist clients in developing effective test strategies, implementing test automation frameworks, and ensuring the quality and reliability of their digital products and services.

Client-Centric Approach:
Client satisfaction and success are at the forefront of their operations. They adopt a collaborative approach, working closely with clients.

Job Details

Skills

Amazon Web Services
Artificial Intelligence
Google Cloud
Generative Artificial Intelligence (AI)
Java

Summary

Day to Day Job Duties: (what this person will do on a daily/weekly basis)

Design end-to-end architecture for scalable, secure, resilient enterprise applications using Java, Spring Boot, microservices, APIs, and event-driven patterns.
Lead cloud-native application modernization and migration initiatives across AWS, Microsoft Azure, or Google Cloud, including containerization and platform transformation.
Define solution blueprints, integration patterns, data flows, non-functional requirements, and architecture standards aligned with enterprise technology and security guidelines.
Architect and integrate AI-enabled capabilities such as generative AI, intelligent agents, retrieval-augmented generation, prompt workflows, and enterprise knowledge assistants.
Evaluate and select appropriate cloud services, AI models, frameworks, vector databases, and integration technologies based on scalability, latency, security, cost, and business requirements.
Collaborate with product owners, business stakeholders, enterprise architects, developers, data teams, DevOps, infrastructure, and cybersecurity teams throughout the delivery lifecycle.
Provide technical leadership to engineering teams through design reviews, code reviews, proof-of-concept development, troubleshooting, performance optimization, and mentoring.
Ensure solutions incorporate security, privacy, responsible AI, observability, high availability, disaster recovery, and regulatory compliance requirements.
Define CI/CD, infrastructure-as-code, deployment, monitoring, logging, and production support approaches for cloud-based Java and AI applications.
Support technical estimations, proposal development, architecture presentations, vendor evaluations, risk identification, and delivery planning.

Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)

Minimum 12+ years of experience in software engineering, application architecture, or solution architecture, including at least 5+ years designing enterprise-scale solutions.
Minimum 8+ years of hands-on experience with Java, Spring Boot, REST APIs, microservices, distributed systems, and enterprise integration patterns.
Minimum 4+ years of experience designing and delivering solutions on AWS, Microsoft Azure, or Google Cloud using cloud-native services.
Minimum 3+ years of experience with Docker, Kubernetes or OpenShift, CI/CD pipelines, infrastructure-as-code, and DevOps practices.
Minimum 2+ years of experience designing or integrating AI solutions using large language models, generative AI, AI agents, RAG, embeddings, prompt engineering, or vector databases.
Strong experience with Kafka or other messaging platforms, API gateways, relational and NoSQL databases, caching, and event-driven architecture.
Experience with AI platforms or frameworks such as OpenAI, Azure OpenAI, Amazon Bedrock, LangChain, LlamaIndex, Semantic Kernel, or equivalent technologies.
Strong knowledge of application security and identity standards including OAuth 2.0, OpenID Connect, JWT, IAM, encryption, and role-based access controls.
Demonstrated ability to communicate complex architecture concepts to technical and non-technical stakeholders and lead cross-functional engineering teams.

Degree: Bachelor''s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent work experience.

Must have skillset:

Experience with Python and AI application development using FastAPI, Flask, or similar frameworks.
Experience building enterprise AI assistants, autonomous or semi-autonomous agents, and knowledge-based applications.
Familiarity with model evaluation, hallucination and bias testing, AI governance, model monitoring, and MLOps practices.
Experience with Snowflake, Databricks, data lakes, streaming platforms, or modern enterprise data architectures.
Experience in financial services, retirement services, wealth management, insurance, or another highly regulated industry.
Cloud architecture, Java, Kubernetes, or AI-related professional certifications.
Pre-sales, consulting, proposal development, estimation, and client presentation experience.

Dice Id: 91089048
Position Id: 9047826
Posted 5 hours ago

Company Info

About GG Tech Global

Client-Centric Approach:
Client satisfaction and success are at the forefront of their operations. They adopt a collaborative approach, working closely with clients.

AI Engineer (GenAI & RAG)

Grand Rapids, Michigan

•

15d ago

Job Title:Lead AI Engineer (GenAI & RAG)Overview / SummaryWe are seeking an experienced Python Developer with 10+ years of software engineering experience, including 1+ years of experience with AI/RAG. Key ResponsibilitiesLead onsite and offshore development teams.Help the product owner and development team achieve customer satisfaction.Connect with stakeholders to understand customer requirements in detail and translate business requirements for the offshore team.Remove impediments and coach th

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Contract

120000

Solution Architect (Java, Cloud & AI)

Skills

Summary

Dice Job Match Score™

Sweta Kabra

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Solution Architect (Java, Cloud & AI)

GG Tech Global

Job Details

Skills

Summary

Company Info

About GG Tech Global

Dice Job Match Score™

Sweta Kabra

Similar Jobs