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Gen AI Consultant AWS Bedrock

Jobs via Dice

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Original Job Summary

About the Role

The Gen AI Consultant AWS Bedrock position at Jobs via Dice is a full-time/contract role for a highly motivated professional with deep expertise in AWS services, particularly Bedrock and related AI/ML services. The candidate will be responsible for designing, developing, and deploying generative AI solutions and translating complex technical concepts into clear business value.

Key Responsibilities

  • Design, develop, and deploy Gen AI solutions using AWS Bedrock, SageMaker, and related services.
  • Collaborate with stakeholders to identify use cases and deliver proof-of-concepts and production deployments.
  • Advise on best practices, cost optimization, and security considerations.
  • Stay current on advancements in LLMs, foundation models, and responsible AI practices.
  • Conduct workshops, demos, and presentations for diverse audiences.
  • Work with data and ML engineers to drive end-to-end AI solution delivery.

Required Skills & Qualifications

  • Expertise in AWS Cloud ecosystem (Bedrock, SageMaker, Lambda, API Gateway, security services).
  • Hands-on experience with LLM-based solutions and vector databases.
  • Proficiency in Python and ML/AI libraries (PyTorch, TensorFlow, LangChain).
  • Strong communication and client engagement skills.
  • Ability to work 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.

Key skills/competency

AWS, Bedrock, SageMaker, Python, ML, LLM, API, consulting, vector databases, security

How to Get Hired at Jobs via Dice

🎯 Tips for Getting Hired

  • Research Jobs via Dice: Understand the company's culture and mission.
  • Tailor your resume: Highlight AWS and AI expertise.
  • Showcase projects: Detail hands-on Gen AI solutions experience.
  • Prepare for interviews: Practice explaining technical concepts clearly.

📝 Interview Preparation Advice

Technical Preparation

Review AWS Bedrock documentation.
Practice Python and ML libraries.
Prepare LLM implementation examples.
Study vector databases and security.

Behavioral Questions

Describe complex project challenges.
Explain client engagement experiences.
Discuss teamwork in ambiguous environments.
Share problem-solving examples.