Lorven Technologies
Solution Architect (Gen AI) - Charlotte, NC (Hybrid)
Lorven Technologies, Charlotte, North Carolina, United States, 28245
Our client is looking
Solution Architect (Gen AI)
for
L
ong term Contract project
in
Charlotte, NC (Hybrid)
below is the detailed requirements.
Job Title : Solution Architect (Gen AI)
Location : Charlotte, NC (Hybrid)
Duration : Long term Contract
Key skills:
Architectural Design, Data Lake implementation, SQL ,
SnowflakeGenAI, Microservices, API Development, AWS, Python, PySpark, and Serverless Architectures.
Key Responsibilities • Architectural Design:
Lead the design and development of scalable, secure, and high-performance architectures, integrating GenAI solutions with existing systems. • GenAI Integration: Develop and implement solutions leveraging
Generative AI to enhance business applications and customer experiences. • Microservices & API Development:
Design and oversee the development of microservices based architectures and RESTful APIs that ensure modularity, scalability, and ease of integration. • AWS Cloud Expertise: Lead the cloud strategy and implementation using
AWS services such as Lambda, API Gateway, EC2, S3, and other serverless and managed services. • Scripting & Automation: Utilize
Python and PySpark for automating workflows, data pipelines, and building AI models for processing large datasets. • Serverless Architecture: Design and implement serverless solutions using AWS Lambda and other cloud native services to improve scalability and reduce infrastructure management overhead. • Technical Leadership: Provide technical leadership to development teams, ensuring best practices are followed in design, coding, testing, and deployment. • Cross functional Collaboration: Work closely with product teams, DevOps, data scientists, and other stakeholders to align architectural solutions with business goals. • Security & Compliance: Ensure all architectural designs meet industry standards for security, compliance, and data governance.
Required Skills: • 10+ years of experience in solution architecture, including hands on development. • Expertise in
Generative AI models, their integration, and application in business processes . • Strong knowledge of
Microservices architecture and API development. • Proven experience in
designing cloud solutions using AWS services (e.g., Lambda, API Gateway, S3, EC2, EMR, Athena). • Good knowledge of Snowflake or other cloud databases • Proficiency in
Python and PySpark for scripting, automation, and building data pipelines. • Handson experience with serverless architectures and event driven systems. • Familiarity with
CI/CD pipelines, DevOps practices and GIT • Solid understanding of API security (OAuth, JWT, etc.) and cloud security best practices.
Good to Have: • Experience in Python, Spark tuning and optimization for distributed data processing. • Knowledge of PySpark or other big data technologies. • Experience working in an Agile/Scrum environment. • Familiarity with CI/CD tools like Jenkins, GitLab, etc. • Understanding of data modeling and data governance practices.
Qualifications: • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. • 8 years' experience in IT architecture, with expertise in GenAI, Microservices, API Development, AWS, Python, PySpark, and Serverless Architectures. • Experience in data engineering roles and managing largescale data environments.
Solution Architect (Gen AI)
for
L
ong term Contract project
in
Charlotte, NC (Hybrid)
below is the detailed requirements.
Job Title : Solution Architect (Gen AI)
Location : Charlotte, NC (Hybrid)
Duration : Long term Contract
Key skills:
Architectural Design, Data Lake implementation, SQL ,
SnowflakeGenAI, Microservices, API Development, AWS, Python, PySpark, and Serverless Architectures.
Key Responsibilities • Architectural Design:
Lead the design and development of scalable, secure, and high-performance architectures, integrating GenAI solutions with existing systems. • GenAI Integration: Develop and implement solutions leveraging
Generative AI to enhance business applications and customer experiences. • Microservices & API Development:
Design and oversee the development of microservices based architectures and RESTful APIs that ensure modularity, scalability, and ease of integration. • AWS Cloud Expertise: Lead the cloud strategy and implementation using
AWS services such as Lambda, API Gateway, EC2, S3, and other serverless and managed services. • Scripting & Automation: Utilize
Python and PySpark for automating workflows, data pipelines, and building AI models for processing large datasets. • Serverless Architecture: Design and implement serverless solutions using AWS Lambda and other cloud native services to improve scalability and reduce infrastructure management overhead. • Technical Leadership: Provide technical leadership to development teams, ensuring best practices are followed in design, coding, testing, and deployment. • Cross functional Collaboration: Work closely with product teams, DevOps, data scientists, and other stakeholders to align architectural solutions with business goals. • Security & Compliance: Ensure all architectural designs meet industry standards for security, compliance, and data governance.
Required Skills: • 10+ years of experience in solution architecture, including hands on development. • Expertise in
Generative AI models, their integration, and application in business processes . • Strong knowledge of
Microservices architecture and API development. • Proven experience in
designing cloud solutions using AWS services (e.g., Lambda, API Gateway, S3, EC2, EMR, Athena). • Good knowledge of Snowflake or other cloud databases • Proficiency in
Python and PySpark for scripting, automation, and building data pipelines. • Handson experience with serverless architectures and event driven systems. • Familiarity with
CI/CD pipelines, DevOps practices and GIT • Solid understanding of API security (OAuth, JWT, etc.) and cloud security best practices.
Good to Have: • Experience in Python, Spark tuning and optimization for distributed data processing. • Knowledge of PySpark or other big data technologies. • Experience working in an Agile/Scrum environment. • Familiarity with CI/CD tools like Jenkins, GitLab, etc. • Understanding of data modeling and data governance practices.
Qualifications: • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. • 8 years' experience in IT architecture, with expertise in GenAI, Microservices, API Development, AWS, Python, PySpark, and Serverless Architectures. • Experience in data engineering roles and managing largescale data environments.