Gen AI Architect

Job Title: GEN AI Architect Location: ATT Foundry, Plano, TX, USA Years of Experience: 10 - 15 Years Job Summary: We are seeking a highly skilled GEN AI Architect with extensive experience indesigning and deploying AI powered agents and architectures. The idealcandidate will have a strong background in large language models (LLMs) and aproven track record of implementing scalable AI solutions that align withbusiness objectives. This role requires a blend of technical expertise,strategic thinking, and excellent communication skills to collaborateeffectively with cross functional teams. Responsibilities: Define
Design AI Architectures:
Establish scalable, modular, and efficient architectures for AI agents, LLMbased applications, and generative AI models. Hands on AI Development:
Implement and optimize generative AI models using frameworks such as OpenAI,LangChain, and RAG. AI Integration
Deployment:
Work with cloud AI platforms (Azure, Google Cloud Platform) to implement best practices forMLOps, model serving, and continuous improvement. Enterprise AI Strategy: Align AI driven solutions with business objectives, ensuring scalability,security, and cost effectiveness. Cross functional Collaboration: Engage with product teams, data scientists, and engineering teams to ensureseamless integration of AI powered solutions into business workflows. AI Governance Ethics: Establish responsible AI practices, ensuring compliance with data privacy,model bias mitigation, and security best practices. Evaluation Optimization: Continuously assess AI agent performance and optimize for improved outcomes. Mandatory Skills: Hands on experience in designing and deploying AI powered agents and multiagent architectures. Expertise in Large Language Models (LLMs) such as GPT, BERT, and Llama. Proficiency in AI frameworks like TensorFlow, PyTorch, and Hugging Face. Strong knowledge of retrieval augmented generation (RAG) and vector databases(e.g., Vector DBs). Experience with cloud AI services (Azure Cognitive Services) and containerizeddeployment using Docker and Kubernetes. Strong background in API driven development, API and Microservices, and eventdriven architectures. Experience with MLOps, CI/CD Pipeline, and monitoring AI models in production. Excellent problem solving, analytical thinking, and effective communicationskills. Preferred Skills: Experience with AI orchestration/agents frameworks, including AG2, CrewAI, andAutoGPT. Familiarity with multi modal AI models (text, image, video, audio) and AIpersonalization

Techniques.
Knowledge of Responsible AI principles, including bias mitigation andexplainability. Advanced academic background (PhD/Master& ) in AI, ML, Data Science, or arelated field.
Qualifications:
The ideal candidate will possess a strong technical foundation in AIarchitecture and development, with a focus on delivering innovative solutionsthat drive business value. A commitment to responsible AI practices and apassion for continuous learning in the rapidly evolving AI landscape areessential.