Senior AWS Bedrock AI Engineer - AgentCore & RAG

SoftPathTechnologies; Atlanta (GA); On-site; USD 180,000 - 250,000; Full time

Job summary

SoftPathTechnologies is seeking an AWS Bedrock Engineering lead to drive AI architecture and implementation across agentic systems. The role requires expert Python and Terraform skills, hands-on Bedrock experience, and strong leadership in cross-functional teams.

You will design multi-agent workflows, own RAG pipelines, and guide governance, observability, and client-facing communications while balancing coding with leadership.

Qualifications

• 9+ years software engineering experience.
• 3+ years hands-on production GenAI/agentic AI.
• Direct hands-on experience with AWS Bedrock AgentCore.
• Strong Python and Terraform expertise.
• Proven experience leading engineers or owning architecture decisions.
• Deep RAG and agent orchestration framework experience (LangGraph/LangChain/CrewAI/Strands).
• Experience with MCP, vector databases, and LLM evaluation frameworks.
• Track record of client-facing or cross-functional stakeholder communication.

Responsibilities

• Lead architecture and technical direction for AI systems built on AWS Bedrock AgentCore.
• Design multi-agent orchestration workflows with LangGraph, LangChain, Strands, or CrewAI.
• Own end-to-end RAG pipeline architecture (chunking, embeddings, retrieval).
• Drive Terraform-based infrastructure-as-code for AWS AI workloads.
• Build and review production Python services exposing agent and RAG capabilities.
• Implement MCP integrations for secure tool/agent access.
• Establish evaluation and observability standards for performance and cost.
• Set AI governance standards including guardrails and auditing.
• Lead design reviews, architecture decisions, and code reviews.
• Mentor AI/ML engineers; contribute to hiring and career growth.
• Serve as primary technical contact with client stakeholders.
• Balance hands-on coding with team leadership.

Skills

Team leadership

Client-facing

Architecture decisions

Python

Tools

AWS Bedrock AgentCore

Terraform

LangGraph

LangChain

CrewAI

Strands

MCP

Vector databases

LLM evaluation frameworks

FastAPI/Flask

GitHub

Claude

Copilot

Job description

SoftPathTechnologies is seeking an AWS Bedrock Engineering lead to drive AI architecture and implementation across agentic systems. The role requires expert Python and Terraform skills, hands-on Bedrock experience, and strong leadership in cross-functional teams.

You will design multi-agent workflows, own RAG pipelines, and guide governance, observability, and client-facing communications while balancing coding with leadership.