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Lead AI Engineer with AWS Bedrock

Open 25d posting dated 2 weeks ago

Summary

Lead the design and deployment of AIOps solutions using AWS Bedrock and agent-based architectures, building scalable GenAI-powered systems in Python or TypeScript.

We are seeking a hands-on Lead AI Engineer focused on building and deploying AIOps solutions using AWS Bedrock and agent-based architectures. The role requires strong engineering capability in Python or TypeScript combined with real-world experience implementing GenAI-powered systems in cloud environments.

Responsibilities

  • Design and implement AIOps solutions leveraging AWS Bedrock and agent-based architectures
  • Build, deploy, and maintain AI services using Python or TypeScript
  • Develop and manage infrastructure using AWS CDK
  • Integrate GenAI capabilities into operational systems, including monitoring, automation, and incident handling
  • Collaborate with cross-functional teams to deliver production-ready AI features
  • Ensure scalability, reliability, and performance of deployed solutions

Requirements

  • 5+ years of hands-on engineering experience delivering production-grade solutions (not only prototypes or POCs)
  • At least 1 year of relevant leadership experience
  • Proven expertise in AWS Bedrock (including AgentCore) applied in real projects
  • Proficiency in Python or TypeScript
  • Skills in building and deploying infrastructure using AWS CDK
  • Understanding of DevOps practices, including CI/CD, deployment, and monitoring
  • Background in AIOps or observability platforms
  • Strong communication skills for effective team collaboration
  • Proficiency in English at an Upper-Intermediate level (B2) or higher

Nice to have

  • Background in Generative AI and LLM-based solutions
  • Experience working in distributed or customer-facing teams
  • Familiarity with the broader AWS ecosystem, such as Lambda, ECS, etc.

Benefits

CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT

  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers

CORPORATE BENEFITS

  • Extra leave days
  • Referral bonuses

COMPENSATION PACKAGE

  • Competitive compensation paid in USD
  • Regular salary and performance reviews

MEDICAL & HEALTHCARE

  • Private health insurance
  • Well-being events

WORKING ENVIRONMENT

  • Recreation areas and kitchens
  • Tea, coffee and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’s Software Assurance Home Use Program (HUP)

See also