Why This Role Stands Out
This hybrid role offers a unique opportunity to develop cutting-edge GenAI solutions using AWS, directly impacting enterprise customers and accelerating your career in AI. You'll thrive here if you're a hands-on engineer with strong AWS and Python skills, eager to move rapidly from concept to production in a collaborative environment. Apply now to shape the future of AI with a leading innovator.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
San Antonio, TX, United States
Posted
17 hours ago
Job Description
AWS Forward Deployed Engineer
Introduction
Royal Cyber is looking for strong AWS-focused Forward Deployed Engineers who can work directly with enterprise customers to turn ambiguous business problems into working, production-ready AI solutions.
Responsibilities
- Operate at the intersection of customer discovery, architecture, rapid prototyping, and hands-on delivery
- Build GenAI / Agentic AI solutions, including RAG, multi-agent workflows, tool calling, and enterprise AI assistants
- Utilize AWS services such as Python, FastAPI, APIs, microservices, Lambda, API Gateway, S3, DynamoDB, OpenSearch, EKS/ECS
- Work with Bedrock Agents / AgentCore, SageMaker, Step Functions, EventBridge, and AWS-native AI services
- Move quickly from discovery to prototype to demo to production
- Work directly with customer stakeholders to understand requirements, challenge assumptions, and shape technical solutions
- Troubleshoot and integrate across enterprise applications, data platforms, APIs, and cloud services
- Implement LLMOps/MLOps practices for evaluation, guardrails, observability, security, and AI governance
- Communicate effectively in a customer-facing engineering role
- Experience in financial services or other regulated industries is a plus
Requirements
Required Skills:
- Strong hands-on experience with AWS and Amazon Bedrock
- Experience building GenAI / Agentic AI solutions
- Strong Python, FastAPI, APIs, microservices, Lambda, API Gateway, S3, DynamoDB, OpenSearch, EKS/ECS experience
- Exposure to Bedrock Agents / AgentCore, SageMaker, Step Functions, EventBridge, and AWS-native AI services
- Experience with LLMOps/MLOps, evaluation, guardrails, observability, security, and AI governance
- Strong communication skills
Preferred Skills:
- Comfortable working directly with customer stakeholders
- Experience in financial services or other regulated industries
- Ability to work in ambiguous situations and iterate rapidly based on feedback
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