AWS Bedrock Engineer San Antonio - TX - Texas

Role Title: AWS Bedrock

Description:

Must Have TechnicalFunctional Skills

Generative AI & LLM Fundamentals, Prompt Engineering, Bedrock API and SKD usage, RAG, AI Agents and workflow design,

Programming skill (Python, APIs, Microservice), AWS core knowledge (IAM, S3, Lambda, API Gateway), Application integration

skills, Vector databases, CICD for AI Apps.

Understanding of ML life cycle, Strong coding in Python, Good knowledge on Py libraries (Pandas, Numpy, Scikit-learn (ML),

TensorflowPyTorch),

Exploratory Data Analysis (EDA), Handling large dataset in Amazon S3, Model Training and Optimization, Model deployment,

MLOps & Pipeline Automation.

Hands on SageMaker Studio, Training Jobs, Endpoints, Pipeline, Model registry, Feature Store

Hands on AWS Core services (S3, IAM, EC2, Lambda, Cluodwatch)

Roles & Responsibilities

Develop, integrate, and optimize Generative AI applications using AWS Bedrock, including prompt engineering, RAG

implementation, and AI agent workflows.

Create and optimize prompts for LLMs

Work with Amazon Bedrock APIs for model inference

Develop backend services using Python Node.js

Enable real-time and streaming AI responses

Build AI solutions using Bedrock Knowledge Bases

Integrate with data sources (S3, databases, enterprise systems)

Implement vector search and embeddings

Design and build AI agents using Bedrock Agents Implement multi-step workflows and task automation Integrate external APIstools into AI workflows Work with core AWS services: o IAM (security & access control) o S3 (data storage) o Lambda (serverless compute) o API Gateway (service exposure) Deploy scalable and secure AI solutions Implement guardrails and content filtering Ensure data privacy, compliance, and safe AI usage Optimize token usage and model selection Monitor and control Bedrock usage costs Convert business requirements into AI-driven solutions Manage and utilize SageMaker Feature Store for reusable feature engineering Monitor model performance and detect data drift in production systems Maintain and retrain models for continuous performance improvement Track experiments, metrics, and ensure model reproducibility Integrate SageMaker with AWS services like S3, IAM, Lambda, and CloudWatch Optimize infrastructure, performance, and cost of ML workloads Collaborate with cross-functional teams to design and deliver ML solutions

Generic Managerial Skills, If any

1. Leadership skills, People management, Analytical skills

2. Excellent communication and collaboration skills, risk management

3. Should work with CXO, infrastructure, security, development teams.

Key Words to search in Resume

Pre-Screening Questionnaire

AWS Serverless & Orchestration (Lambda, AWS Step Function), API Gateway, IAM & Security, DynamoDB, S3, Terraform, AWS

Bedrock

Role Descriptions: We are looking for a AWS Bedrock Engineer with deep expertise in AWS, DevOps, andDevSecOps practices, who can design and maintain secure, scalable, and developer-friendlyplatforms. This role will champion developer experience by building self-service capabilities,golden paths, and automation for common workflows, while ensuring platform reliability throughSRE practices and compliance automation. The ideal candidate will have experience with Atlassian Compass (preferred) or Backstage for Internal Developer Portals, strong CICD skills,and a solution-oriented mindset. Previous development experience is a plus

Essential Skills: We are looking for a AWS Bedrock Engineer with deep expertise in AWS, DevOps, andDevSecOps practices, who can design and maintain secure, scalable, and developer-friendlyplatforms. This role will champion developer experience by building self-service capabilities,golden paths, and automation for common workflows, while ensuring platform reliability throughSRE practices and compliance automation. The ideal candidate will have experience with Atlassian Compass (preferred) or Backstage for Internal Developer Portals, strong CICD skills,and a solution-oriented mindset. Previous development experience is a plus

Desirable Skills:

Keyword:

Skills: Digital : Amazon Web Service(AWS) Cloud ComputingDigital : DevOpsGithub Enterprise

Experience Required: 10 & Above