Senior AI Architect

1 month ago

Noida, India TETRAHED INC Full time
Job Title: Senior AI Architect

At TETRAHED INC, we are seeking a highly skilled Senior AI Architect to join our team. As a key member of our organization, you will be responsible for designing and implementing advanced AI and cloud architectures, with a strong emphasis on integrating generative AI technologies using Google Cloud Platform (GCP).

Key Responsibilities:
  • Design and implement AI and cloud architectures, integrating GCP GenAI technologies like Gemini, GPT-4o, and Gemma to enhance functionality and scalability.
  • Lead architectural discussions with clients, providing expert guidance on best practices for AI and cloud integration using GCP.
  • Ensure solutions align with microservice and container-based environments across public, private, and hybrid clouds using Google Kubernetes Engine (GKE).
  • Contribute to thought leadership in the Cloud Native domain with a strong understanding of GCP technologies.
  • Collaborate on technical projects with global partners, leveraging GCP's extensive capabilities.
Service Delivery & Innovation:
  • Develop GenAI solutions from ideation to MVP using GCP services such as Vertex AI, ensuring high performance and reliability within cloud-native frameworks.
  • Optimize AI and cloud architectures on GCP to meet client requirements, balancing efficiency and effectiveness.
  • Evaluate existing complex solutions and recommend architectural improvements to transform applications with GCP's cloud-native/12-factor characteristics.
  • Promote the adoption of GCP GenAI technologies within cloud-native projects, driving initiatives that push the boundaries of AI integration in GCP services.
Thought Leadership and Client Engagement:
  • Provide architectural guidance to clients on incorporating GenAI and machine learning into their GCP cloud-native applications and architectures.
  • Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, building strong, trust-based relationships.
  • Act as a trusted advisor, contributing to technical projects (PoCs and MVPs) with a focus on technical excellence and on-time delivery.
  • Author whitepapers, blogs, and speak at industry events, maintaining a visible presence as a thought leader in AI and cloud architecture.
  • Create and record videos to share insights and opinions on AI and cloud technologies, enhancing industry leadership.
Collaboration and Multi-Customer Management:
  • Engage with multiple customers simultaneously, providing high-impact architectural consultations and fostering strong relationships.
  • Work closely with internal teams and global partners to ensure seamless collaboration and knowledge sharing across projects.
  • Maintain a hands-on technical credibility, staying ahead of industry trends and mentoring others in the organization.
Mandatory Skills & Experience:
  • Experience: 8+ years in cloud and AI architecture design, 5+ years in software development.
  • Technologies: Proficiency in Python, Java (and/or Golang), and Spring; expertise in Google Cloud Platform; Google Kubernetes Engine (GKE) and containerization.
  • Ai Expertise: Advanced machine learning algorithms, GenAI models (e.g., Gemini, GPT-4o, Gemma), NLP techniques, Vector Databases, Fine-Tuning and GCP Vertex AI components.
  • Experience with GCP's AI tools such as Vertex AI, TensorFlow, and AutoML is required.
  • Big Data: Experience with Big Query, Google Cloud Dataflow, and Google Cloud Storage.
Desired Skills & Experience:
  • Deep knowledge of machine learning operations (MLOps) and experience in deploying, monitoring, and maintaining AI models in production environments on GCP.
  • Proficiency in data engineering for AI, including data preprocessing, feature engineering, and pipeline creation using Google Cloud Dataflow and BigQuery ML.
  • Expertise in AI model fine-tuning and evaluation, with a focus on improving performance for specialized tasks.
  • Knowledgeable about AI ethics and bias mitigation, with experience in implementing strategies to ensure fair and unbiased AI solutions.
  • Serverless Computing and Distributed Systems on GCP.
  • Deep Learning Frameworks (TensorFlow, PyTorch) integrated with GCP AI Platform.
  • Innovation and Emerging Technology Trends.
  • Strategic AI Vision and Road mapping.
  • Enthusiastic about working in a fast-paced environment using the latest technologies, and passionate about dynamic and high-energy Labs atmosphere.
Verifiable Certification:
  • At least two recognized cloud professional certifications: one must be from Google Cloud Platform (e.g., Google Professional Cloud Architect), and another can be from Google or a relevant AI/cloud provider (e.g., Microsoft Azure, AWS).
Soft Skills and Behavioral Competencies:
  • Exemplary communication and leadership skills, capable of inspiring teams and making strategic decisions that align with business goals.
  • Demonstrates a strong customer orientation, innovative problem-solving abilities, and effective cross-cultural collaboration.
  • Adept at driving organizational change and fostering a culture of innovation.

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