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Enterprise AI Solutions Architect
2 months ago
About Us
At Valiance Solutions, we are revolutionizing the tech landscape with cutting-edge AI-driven solutions that empower businesses to thrive. Leveraging Google Cloud technologies for databases, machine learning, and application deployment, we seek a skilled Enterprise AI Solutions Architect to craft and implement robust, scalable, and high-performing applications.
Job Overview
This hands-on role involves architecting, developing, and deploying AI-driven applications on Google Cloud, working closely with customers to understand their requirements, create solution documents and project proposals, and leading a team of engineers to ensure successful project delivery.
Main Responsibilities
- AI Application Development: Design and develop enterprise-level AI-driven applications on Google Cloud, utilizing services such as Google Cloud Databases, AI/ML, and deployment solutions.
- Customer Engagement: Engage with end customers to comprehend and document their needs, translating them into technical solutions that align with business objectives.
- Solution Documentation: Create detailed solution documents, project proposals, and technical specifications for AI applications hosted on Google Cloud.
- Project Leadership: Oversee project deliveries, coordinating and managing a team of software engineers, AI engineers, and cloud experts to ensure project milestones and customer expectations are met.
- Hands-on Coding: Actively contribute to coding and technical problem-solving, ensuring best practices and high-quality outcomes. Core tech stack includes Python, Django, ReactJS, Docker, Kubernetes, and CI/CD pipelines.
- Technical Guidance & Mentorship: Provide technical direction to team members, guiding them on best practices in Google Cloud development, containerization, deployment, and integration.
- Continuous Improvement: Drive process improvements in project workflows, coding practices, and deployment efficiency, enhancing team productivity and project quality.
Required Skills & Qualifications
- Experience: 6-8 years of experience in software development with a strong focus on architecting and developing enterprise-level applications, ideally within AI-driven solutions on Google Cloud.
- Technical Proficiency: Hands-on experience in Python, Django, ReactJS, Docker, CI/CD, and Kubernetes. Proficiency with Google Cloud services for data management, machine learning, and application deployment.
- Cloud Expertise: In-depth knowledge of Google Cloud technologies and tools, with proven experience in deploying and managing applications on Google Cloud.
- Project Management: Strong project leadership skills, with experience managing cross-functional teams and ensuring timely, high-quality project delivery.
- Analytical & Communication Skills: Excellent analytical skills for requirement analysis, and strong communication skills to articulate technical solutions to business stakeholders.
- Documentation Skills: Proficient in creating solution documents, technical specifications, and project proposals.
- Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Salary Information
The estimated annual salary for this position is $140,000 - $170,000, based on industry standards and location considerations.