Tech Architect – AWS AI (Anthropic)

About the Client

Company is a global leader in digital transformation, cybersecurity, cloud, and high-performance computing. Headquartered in France, Company serves clients across diverse industries with innovative solutions that drive business agility and operational excellence. With a strong commitment to sustainability and cutting-edge technology, Company supports organizations in their digital journeys through consulting, systems integration, and managed services. The company's expertise spans artificial intelligence, data analytics, and IoT, helping clients achieve secure and efficient digital operations worldwide. Company is recognized for its focus on decarbonization and delivering trusted, secure digital services.

Job Description

We are seeking an experienced Tech Architect specialized in AWS AI (Anthropic) to join our team in India. The ideal candidate will have a strong background in designing and implementing AI solutions on AWS, with a focus on leveraging Anthropic technologies to drive innovation and efficiency.

Responsibilities

• Design and implement scalable AI solutions on AWS using Anthropic technologies.
• Collaborate with cross-functional teams to define and refine project requirements.
• Lead architectural discussions and design reviews to ensure best practices in AI development.
• Develop and maintain technical documentation for AI architectures and solutions.
• Stay updated with the latest trends and advancements in AI and cloud technologies.

Skills and Qualifications

• 10-16 years of experience in technology architecture and design, specifically with AWS services.
• Strong understanding of AI/ML concepts and experience with Anthropic AI technologies.
• Proficiency in AWS services such as S3, EC2, Lambda, SageMaker, and others relevant to AI solutions.
• Experience with programming languages such as Python, Java, or similar languages used in AI development.
• Hands-on experience with containerization technologies like Docker and orchestration tools such as Kubernetes.
• Strong analytical and problem-solving skills, with the ability to think critically about system design and architecture.
• Excellent communication skills to effectively collaborate with team members and stakeholders.