Gen AI with Amazon Q and AWS bedrock

Overview

On Site
$DOE
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12th Month(s)

Skills

GEN AI

Job Details

Job Title: Gen AI with Amazon Q and AWS bedrock

Location: Malvern, PA
Job Type: - Contract
On-Site

Job Description:-
Key Responsibilities

  • Develop and deploy Generative AI applications using AWS Bedrock, leveraging models from Anthropic (Claude), AI21, Meta, Amazon Titan, and others.

  • Build and optimize enterprise AI assistants and chat solutions using Amazon Q, integrating with internal data sources and knowledge bases (e.g., Amazon Q Developer or Business).

  • Design prompt engineering strategies, fine-tune foundation models, and implement RAG (Retrieval-Augmented Generation) pipelines using Amazon Kendra, OpenSearch, or S3.

  • Collaborate with product managers and data teams to align AI capabilities with business requirements and use cases.

  • Build scalable, secure, and cost-optimized cloud-native applications using AWS tools such as Lambda, API Gateway, S3, DynamoDB, and SageMaker.

  • Monitor, evaluate, and fine-tune model performance and ensure alignment with responsible AI guidelines.

  • Stay up to date with the latest advancements in GenAI and AWS services and recommend best practices for adoption.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.

  • 5+ years of experience in AI/ML or software engineering, with at least 1 year hands-on with Generative AI models.

  • Practical experience using AWS Bedrock, including invoking foundation models and building GenAI workflows.

  • Experience working with Amazon Q (Business or Developer), including configuring knowledge bases and implementing security guardrails.

  • Proficiency in Python, JavaScript, or similar programming languages.

  • Experience with prompt engineering, LLM APIs, LangChain, or similar GenAI frameworks.

  • Familiarity with AWS services: Lambda, S3, API Gateway, SageMaker, CloudWatch, IAM, etc.

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