Solutions Architect

1 month ago

Charlotte, United States Smart IT Frame LLC Full time

Tittle: - GEN AI Architect

Location: - Charlotte, NC(Onsite)

Type: - Contract

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:

  • 8+ 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.

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