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Senior Technical Cloud Lead with Generative AI (AWS Bedrock & LLM) - 100% Remote

Key Facts

Remote From: 
Fixed term
Senior (5-10 years)
English

Other Skills

  • β€’
    Communication
  • β€’
    Consulting
  • β€’
    Problem Solving
  • β€’
    Adaptability

Roles & Responsibilities

  • Strong expertise in AWS Cloud ecosystem, particularly Bedrock, SageMaker, Lambda, API Gateway, and security services.
  • Proven hands-on experience implementing LLM-based solutions (chatbots, summarization, knowledge retrieval, agents, etc.).
  • Solid understanding of vector databases, prompt engineering, and RAG (Retrieval-Augmented Generation).
  • Proficiency in Python and common ML/AI libraries (PyTorch, TensorFlow, LangChain, etc.).

Requirements:

  • Design, develop, and deploy Generative AI solutions using AWS Bedrock, SageMaker, and related AI/ML services.
  • Partner with stakeholders to identify use cases, define solution architecture, and deliver proof-of-concepts (POCs) and production deployments.
  • Advise clients on best practices, cost optimization, and security considerations in Gen AI projects.
  • Stay updated on the latest advancements in LLMs, foundation models, and responsible AI practices.

Job description

Job Description: Senior Technical Cloud Architect with Generative AI (AWS Bedrock & LLM)

Location: 100% Remote
Employment Type: Full-time / Contract

About the Role

We are seeking a highly motivated Generative AI Consultant with deep expertise in AWS services (especially Bedrock) and hands-on experience implementing Gen AI solutions. The ideal candidate is not only technically strong but also an excellent communicator who can translate complex AI concepts into business value.

Key Responsibilities

  • Design, develop, and deploy Generative AI solutions using AWS Bedrock, SageMaker, and related AI/ML services.
  • Partner with stakeholders to identify use cases, define solution architecture, and deliver proof-of-concepts (POCs) and production deployments.
  • Advise clients on best practices, cost optimization, and security considerations in Gen AI projects.
  • Stay updated on the latest advancements in LLMs, foundation models, and responsible AI practices.
  • Conduct workshops, demos, and presentations to both technical and non-technical audiences.
  • Collaborate with data engineers, ML engineers, and product teams to drive end-to-end AI solution delivery.

Required Skills & Qualifications

  • Strong expertise in AWS Cloud ecosystem, particularly Bedrock, SageMaker, Lambda, API Gateway, and security services.
  • Proven hands-on experience implementing LLM-based solutions (chatbots, summarization, knowledge retrieval, agents, etc.).
  • Solid understanding of vector databases, prompt engineering, and RAG (Retrieval-Augmented Generation).
  • Proficiency in Python and common ML/AI libraries (PyTorch, TensorFlow, LangChain, etc.).
  • Excellent communication and client-facing skillsβ€”able to simplify technical ideas and influence stakeholders.
  • Driven, proactive, and comfortable working in fast-paced, ambiguous environments.

Nice-to-Have

  • AWS Certifications (e.g., AWS Certified Machine Learning Specialty, Solutions Architect).
  • Experience with other Gen AI platforms (Azure OpenAI, Google Vertex AI).
  • Familiarity with MLOps and deployment pipelines for Gen AI applications.
  • Prior consulting or client engagement experience.

What We Offer

  • Opportunity to work on cutting-edge Generative AI projects with global impact.
  • A collaborative, innovation-driven environment.
  • Competitive compensation and growth opportunities.

 




Salary: $85-$105

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