Solution Architect with Agentic AI Position Available In Cobb, Georgia

Solution Architect with Agentic AI Intellectt Inc Atlanta, GA 30308 • Hybrid work

Job Title:

Solution Architect – Agentic AI Systems (Hands-on AI/ML Expertise Required)

Location:

Atlanta, GA (Hybrid – primarily onsite) About the

Role:

We are seeking a highly skilled and hands-on Solution Architect with 12+ years of experience in Artificial Intelligence (AI) and Machine Learning (ML) to lead the design and architecture of agentic AI systems and multimodal LLM-based solutions . This Atlanta-based role involves primarily onsite work , with some flexibility for hybrid arrangements.

The ideal candidate is a seasoned AI technologist with a deep understanding of agentic frameworks , large language models (LLMs) , real-time speech-to-speech AI , and cloud-native architecture . You will define scalable technical solutions, guide implementation teams, and play a critical role in bringing advanced autonomous AI applications to life.

Key Responsibilities:

Architect and design advanced agentic AI solutions leveraging frameworks like LangGraph, LangChain, CrewAI , and Google AgentSpace . Provide technical leadership in integrating foundation models (e.g., GPT-4o, Claude, LLaMA, Haiku, Nova ) via AWS Bedrock . Define scalable backend architecture using Python, TypeScript , and Java for production-grade AI systems. Develop blueprints for real-time conversational interfaces using tools like OpenAI Realtime API and Amazon Novasonic . Guide prompt engineering, model fine-tuning, vector-based memory systems, and RAG pipelines for contextual reasoning and planning. Lead cloud architecture design, including DevOps pipelines, Docker-based containerization , and deployment strategies on AWS or equivalent platforms. Collaborate with project managers, AI researchers, and product stakeholders to align technical decisions with business goals. Evaluate, prototype, and recommend best-fit tools, APIs, and frameworks across the AI/ML ecosystem. Monitor and optimize the performance, scalability, and robustness of deployed AI agents and subsystems. Stay current with trends in AGI, multi-agent systems, and multimodal AI , and incorporate emerging practices into the architectural roadmap.

Required Skills & Qualifications:

12+ years of experience in software engineering and AI/ML system architecture, with at least 5 years in agentic or LLM-driven environments . Deep programming expertise in Python, TypeScript , and Java . Strong hands-on experience with agentic AI platforms: LangGraph, LangChain, CrewAI, AgentSpace , etc. Proven experience integrating and deploying models via AWS Bedrock using providers like OpenAI, Anthropic, Meta, and Mistral. Expertise in speech AI tools such as OpenAI Realtime API, Amazon Novasonic , or equivalent. Strong grasp of LLM internals, vector stores, contextual memory , prompt engineering , and RAG strategies. Extensive experience with cloud-native architectures , CI/CD pipelines , API design , and containerization (Docker) . Excellent communication, systems thinking, and cross-functional collaboration skills. Nice to

Have:

Experience architecting multi-agent workflows , task orchestration , and tool augmentation systems. Familiarity with edge AI deployments or streaming data pipelines for real-time AI use cases. Contributions to open-source AI tools or research publications in agentic systems, multimodal AI, or applied machine learning. Certifications in cloud architecture (e.g., AWS Certified Solutions Architect) or additional AI/ML credentials.

Job Types:

Full-time, Contract Pay:

$120,000.00 – $180,000.00 per year Application Question(s): Your work authorization? Your current location? How many years of experience you have with

Agentic AI Work Location:

In person