Solution Architect (Gen AI) - Charlotte, NC (Hybrid)

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.