RAG & Agentic AI Lead Architect

Tech Mirrors

Columbus (OH)

Hybrid

USD 180,000 - 230,000

Full time

14 days+
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Job summary

Tech Mirrors in Columbus, OH is seeking a Tech Lead / Lead Architect for a long-term project focused on Agentic AI and RAG-based solutions. The role will partner with customers and internal teams to design scalable, secure AI systems and oversee delivery across multiple stakeholders.

Must-have capabilities include hands-on experience with RAG pipelines, embeddings, vector databases, LLM orchestration, and strong AWS expertise (Lambda, API Gateway, Bedrock, S3, OpenSearch, IAM, VPC, Secrets

Qualifications

  • Experience in building RAG pipelines and vector databases.
  • Hands-on AWS architecture including Lambda, API Gateway, and Bedrock.
  • Ability to design end-to-end AI architectures and deliver PoCs to customers.
  • Strong understanding of AI guardrails, data privacy, and cloud security.
  • Proven leadership, mentorship, and ability to deliver under tight timelines.
  • Excellent customer communication to explain architectures, trade-offs and risks.
  • Experience with model evaluation, observability, performance tuning, and cost optimization.
  • Experience with API design, microservices, and event-driven AI systems.

Responsibilities

  • Lead architecture and delivery of Agentic AI and RAG-based solutions.
  • Mentor teams and own delivery with high visibility.
  • Collaborate with customers and internal teams to ensure scalable, secure AI systems.

Skills

RAG pipelines
Embeddings
Vector databases
LLM orchestration
Prompt engineering
AWS
Lambda
API Gateway
Bedrock
S3
OpenSearch
IAM
VPC
Secrets Manager
AI guardrails
Data privacy
Cloud security
Leadership
Mentoring
Delivery ownership
Customer communication
Architecture design
PoC to production

Tools

LangGraph
CrewAI
AutoGen
Semantic Kernel

Job description

Tech Mirrors in Columbus, OH is seeking a Tech Lead / Lead Architect for a long-term project focused on Agentic AI and RAG-based solutions. The role will partner with customers and internal teams to design scalable, secure AI systems and oversee delivery across multiple stakeholders.

Must-have capabilities include hands-on experience with RAG pipelines, embeddings, vector databases, LLM orchestration, and strong AWS expertise (Lambda, API Gateway, Bedrock, S3, OpenSearch, IAM, VPC, Secrets

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