Senior AI/ML Solutions Architect- AWS, AWS Bedrock

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Senior AI/ML Solutions Architect

RAG-based architectures

LLM integration

multi-cloud GenAI solutions

Roles And Responsibilities

• Architect, design, and develop enterprise-scale AI/ML solutions across cloud platforms.
• Utilize AWS services such as Bedrock, SageMaker, Lambda, API Gateway, and EKS to deliver advanced AI capabilities.
• Implement RAG-based architectures, LLM integrations, and vector databases for GenAI solutions.
• Write high-quality code using Python, and manage cloud deployments with Terraform, Harness, and IaC best practices.
• Ensure cloud security using IAM policies, security frameworks, and compliance standards in hybrid and multi-cloud setups.
• Integrate AWS Bedrock with Azure OpenAI and hybrid AI gateway solutions.
• Monitor and optimize AI solutions using observability tools like CloudWatch, Grafana, or Datadog.
• Work in Agile/DevOps environments with CI/CD pipelines for rapid and reliable delivery.
• Collaborate with onsite teams across geographies to ensure alignment and timely delivery.
  

Mandatory Skills

• AWS, AWS Bedrock, AI/ML frameworks
• SageMaker, Lambda, API Gateway, EKS
• Python, Terraform, Harness, IaC (Infrastructure as Code)
  

Desired Skills

• CloudWatch, Grafana, Datadog
• Azure OpenAI, Hybrid AI Gateway Solutions
• DevOps practices
  

Additional Details

• Work Location: Pune Phase 2 / Hyderabad SEZ / Chandigarh SEZ (No WFH)
• Mode of Interview: Microsoft Teams – Video
• Work Mode: WFO – 5 days per week
• Certification: AWS Certified Solutions Architect – Professional (Highly Preferred)
• Shift: Regular Day Shift
• Business Travel: No
• BGV: Required before onboarding (FADV)