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GCP Solution Architect

3 months ago

Mountain View, United States United Software Group Inc Full time

Title: GCP Solution Architect

Work Location: Remote with Travel

Duration : Full-Time


Job Description:


As Architect with a focus on Generative AI , you will be responsible for designing, developing, and implementing end-to-end solutions that leverage cloud infrastructure. You will work on diverse projects, from developing user-friendly front-end applications to implementing complex back-end systems and AI models.

Key Responsibilities:

- Generative AI Development

- Design, train, and deploy Generative AI models using state-of-the-art techniques.

- Implement AI-driven features into our clients’ products and services.

- Collaborate with data scientists and AI researchers to integrate AI solutions seamlessly.

-Full Stack Development

- Develop and maintain scalable web applications using modern front-end and back-end technologies.

- Ensure high performance, responsiveness, and quality of applications.

- Write clean, maintainable, and efficient code.

- Google Cloud Integration

- Leverage Google Cloud Platform (GCP) services for deploying and scaling applications.

- Utilize GCP tools for machine learning, data storage, and application management.

- Technical Leadership

- Provide technical guidance and mentorship to junior engineers.

- Lead code reviews and ensure adherence to best practices and standards.

- Collaborate with cross-functional teams to define and implement technical strategies.

- Innovation and Strategy

- Stay updated with the latest advancements in Generative AI and Full Stack development.

- Contribute to the strategic direction of the organization by identifying new opportunities for AI-driven innovation.

- Assist in shaping the technological roadmap, aligning it with business goals.

Expected Experience**:

- Proven experience as a Full Stack Engineer with a strong portfolio of projects.

- Extensive experience in developing and deploying Generative AI models.

- Solid understanding of Google Cloud Platform and its services.

- **Technical Skills**:

- Proficiency in front-end technologies (HTML, CSS, JavaScript, React, Angular, etc.).

- Strong back-end development skills (Node.js, Python, Java, etc.).

- Experience with databases (SQL, NoSQL) and cloud-based storage solutions.

- Expertise in machine learning frameworks (TensorFlow, PyTorch, etc.).

- Familiarity with CI/CD pipelines and DevOps practices.


- **Soft Skills**:

- Excellent problem-solving abilities and attention to detail.

- Strong communication and collaboration skills.

- Leadership qualities and a passion for mentoring and guiding team members.