Hello,
Hope you are doing great.
This is Gangadhar from Intellectt INC ; we have an immediate opportunity with one of our clients. Please find the below job description and if you are interested, please forward your resume to gangadhar@intellectt.com
Role : Sr. AI Architect
Location : Atlanta, GA (Prefer Locals)
Duration : Long Term
Job Description :
We're looking for a Senior AI Architect with deep expertise in Agentic AI , OpenAI's Agent SDK , and modern cloud-native AI platforms to lead next-generation enterprise AI initiatives.
Must Have Skills : Agentic AI, AWS Bedrock, Python, LLM needed
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.