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AI Architect
2 weeks ago
Job Title: AI Architect
Location: Atlanta, GA (Hybrid)
Type: Long Term Contract
Job Summary
We are seeking an experienced
AI Architect
with deep expertise in building next-generation AI systems leveraging
OpenAI's Agent SDK
,
agentic AI frameworks
, and modern
cloud-native AI platforms
. The ideal candidate will bring strong
architecture leadership experience
along with hands-on engineering skills in
Python and TypeScript
, with deep knowledge of
AI/ML, LLMs, and AWS cloud infrastructure
. This role focuses on designing, architecting, and deploying
enterprise-scale agent-based AI applications
with advanced AWS AI services.
Key Responsibilities
- Architect and implement
agentic AI use cases
using OpenAI's Agent SDK. - Lead
architecture design
for enterprise-scale AI systems and ensure best practices in scalability, reliability, and security. - Drive the design and development of
production-grade AI/ML applications
in Python and TypeScript. - Architect AI/ML solutions involving
Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and LangChain (Lang)
. - Integrate and manage
MCP Server
for scalable AI infrastructure and agent workflows. - Design and deploy AI solutions leveraging
AWS services including Bedrock and Nova Sonic
, ensuring robust cloud-native AI integration. - Collaborate with cross-functional stakeholders to translate business problems into AI-driven enterprise solutions.
- Provide
thought leadership
and continuously evaluate emerging trends in agentic AI, ML, and AWS AI services.
Required Skills & Qualifications
- 14+ years of overall experience in software engineering/architecture with focus on
AI/ML
. - Strong
architecture experience
, including designing large-scale, enterprise AI platforms. - Proven expertise with
OpenAI Agent SDK
and
agentic AI frameworks
. - Strong coding and architectural skills in
Python
/
TypeScript
. - Deep knowledge of
LLMs, LangChain (Lang), and RAG
architectures. - Hands-on experience with
AWS Bedrock, AWS Nova Sonic
, and
AWS cloud services
. - Experience with
MCP Server
for AI infrastructure. - Excellent analytical, problem-solving, and solution architecture skills.
- Strong communication and leadership skills with the ability to work in dynamic, collaborative environments.
Preferred Qualifications
- Prior experience developing and deploying
enterprise-grade AI/ML applications
at scale. - Familiarity with
LLMOps, AI observability tools, and evaluation frameworks
. - Experience in building
autonomous AI agents
for enterprise workflows.