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Senior AI / ML Solutions Architect- AWS, AWS Bedrock

Senior AI / ML Solutions Architect- AWS, AWS Bedrock

ConfidentialChandigarh, India
9 days ago
Job description

Job Title : Senior AI / ML Solutions Architect

Country : India

grafTotal Experience : 8+ years

Relevant Experience : Minimum 6+ years

Domain : Capital Markets

Job Description

We are seeking an experienced Senior AI / ML Solutions Architect with deep expertise in AWS AI / ML services, cloud-native architectures, and enterprise-scale AI solution development. The ideal candidate will have strong skills in designing and implementing RAG-based architectures , LLM integration , and multi-cloud GenAI solutions with a focus on scalability, security, and cost-effectiveness.

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)
  • Skills : aws,bedrock,ml,ai,python,terrafrom,lambda,sagemaker,lac,grafna

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    Skills Required

    Grafana, Datadog, Harness, Lambda, Cloudwatch, Terraform, Python, Aws, Api Gateway

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