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My name is Abhishek Kumar, a Senior Recruiter with Saibber. We are looking for a suitable candidate for the position, I came across your resume and found this a perfect  fit for this role. I would appreciate it if you can provide the best time and number to reach you to discuss this further

Title : Full Stack Solutions Architect

Location : Irving, TX ( 3 days from office)

JD :

Responsibilities:

• Lead the architectural design and development of scalable, robust, and secure full-stack solutions, with a strong emphasis on integrating Generative AI capabilities.
• Collaborate with stakeholders, including product managers, engineers, and business analysts, to understand requirements and translate them into comprehensive and innovative technical solutions.
• Provide technical leadership and guidance to development teams throughout the entire software development lifecycle, from concept to deployment and maintenance.
• Drive the exploration, evaluation, and adoption of cutting-edge technologies, with a specific focus on Generative AI models (e.g., LLMs, diffusion models), frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers), and related infrastructure.
• Design and implement the integration of Generative AI models into various application layers, including front-end user interfaces, back-end services, and data pipelines.
• Define and enforce architectural patterns, best practices, and coding standards across full-stack development and Generative AI implementations.
• Maintain a strong hands-on involvement in development activities, including coding, prototyping, and troubleshooting complex technical issues.
• Design and implement secure and efficient data pipelines for training, fine-tuning, and deploying Generative AI models.
• Architect and optimize cloud-based solutions leveraging platforms like AWS, Azure, or GCP for both full-stack applications and Generative AI workloads.
• Ensure the scalability, performance, reliability, and security of the designed solutions.
• Evaluate and recommend appropriate technology stacks, frameworks, and tools for both front-end, back-end, and Generative AI components.
• Lead technical discussions and present architectural designs and solutions to both technical and non-technical audiences.
• Mentor and guide junior architects and developers on full-stack development and Generative AI best practices.
• Stay current with the latest advancements in full-stack development, Generative AI research, and cloud technologies.
• Contribute to the development of intellectual property and technical documentation.
• Participate in code reviews and ensure code quality and adherence to architectural guidelines.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Minimum [Specify Number, e.g., 8-10] years of experience in software development, with a significant portion in full-stack roles.
• Proven experience in designing and architecting complex, scalable, and high-performance full-stack applications.
• Strong hands-on development experience across various layers of the stack, including:

• Front-end: Expertise in modern JavaScript frameworks (e.g.,Angular), HTML, CSS, and related technologies.
• Back-end: Proficiency in one or more server-side languages (e.g., Python, Java, Node.js)
• Databases: Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases.
• APIs: Deep understanding of RESTful and GraphQL API design and development.

• Demonstrated knowledge and practical experience with Generative AI models and frameworks, including:

• Understanding of different Generative AI model types (e.g., LLMs, image generation, audio synthesis).
• Experience with at least one major Generative AI framework (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
• Experience with prompt engineering, fine-tuning, and evaluating Generative AI models.
• Knowledge of the ethical considerations and responsible AI practices.

• Strong understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and their services relevant to both full-stack development and AI/ML workloads (e.g., SageMaker, Azure Machine Learning, Vertex AI).
• Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration.
• Solid understanding of software architecture patterns (e.g., microservices, event-driven architecture).
• Experience with CI/CD pipelines and DevOps practices.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication (both written and verbal) and interpersonal skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.  
• Ability to lead technical discussions and influence technical decisions.