Senior Cloud AI Architect

6 hours ago

Solapur, Maharashtra, India beBeeExpert Full time US$ 15,00,000 - US$ 20,00,000
Job Title: Senior Cloud AI Architect

We are seeking a highly skilled Technical Lead with expertise in designing cloud-based AI solutions.

This role involves architecting end-to-end applications, ensuring best practices in cloud deployment, security, and scalability while collaborating with cross-functional teams.

Main Responsibilities:

  • Design and implement scalable, secure, and high-performance architectures on AWS for AI/ML applications.
  • Architect multi-tenant enterprise-grade AI/ML solutions using AWS services like SageMaker, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.
  • Lead full lifecycle development of AI/ML/GenAI solutions from PoC to production, ensuring reliability and performance.
  • Define and implement best practices for MLOps, DataOps, and DevOps on AWS.

Ai/Ml & Generative Ai Expertise:

  • Design Conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan.
  • Optimize LLM inference pipelines, embeddings, vector search, and hybrid retrieval strategies for AI-based applications.
  • Drive ML model training, deployment, and monitoring using AWS SageMaker and AI/ML pipelines.

Cloud & Infrastructure Management:

  • Architect event-driven, serverless, and microservices architectures for AI/ML applications.
  • Ensure high availability, disaster recovery, and cost optimization in cloud deployments.
  • Implement IAM, VPC, security best practices, and compliance.

Team & Client Engagement:

  • Lead and mentor a team of ML engineers, Python developers, and Cloud Engineers.
  • Collaborate with business stakeholders, product teams, and multiple clients to define requirements and deliver AI/ML/GenAI-driven solutions.
  • Conduct technical workshops, training sessions, and knowledge-sharing initiatives.

Multi-Client & Business Strategy:

  • Manage multiple client engagements, delivering AI/ML/GenAI solutions tailored to their business needs.
  • Define AI/ML/GenAI roadmaps, proof-of-concept strategies, and go-to-market AI solutions.
  • Stay updated on cutting-edge AI advancements and drive innovation in AI/ML offerings.

Key Skills & Technologies:

  • AWS Services: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS
  • MLOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions, Terraform, CDK)
  • Security: IAM, VPC, CloudTrail, GuardDuty, KMS, Cognito

Technical Requirements:

  • Proficiency in languages such as Python, Java, or C++.
  • Familiarity with containerization tools like Docker.
  • Knowledge of data storage systems like Relational Databases, NoSQL databases, and Big Data frameworks.

Educational Background:

  • Bachelor's or Master's degree in Computer Science, Information Technology, or related fields.

Preferred Qualifications:

  • Prior experience in managing complex software projects.
  • Strong understanding of DevOps practices and continuous integration.
  • Experience working with Agile methodologies.

Why Join Our Team:

  • Opportunity to work with cutting-edge technologies.
  • Collaborative environment with experienced professionals.
  • Professional growth and development opportunities.

How to Apply:

Please submit your resume and cover letter. We look forward to reviewing your application.

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