Hiring: Gen AI Architect Company: Synechron Location: Charlotte, NC Job Posted Time: 2026-09-16 10:54:38 Employment Type: Hybrid Target Skills & Keywords : A/B Testing, AI, AWS, Agile, Azure, Blockchain, CI/CD, GCP, Hugging Face, LLM, LangChain, Machine Learning, Project Management, PyTorch, RAG, Regulatory Compliance, Stakeholder Management, Systems Design, TensorFlow About the job Experience: •20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets. Required Skills: •Define and drive the AI/ML architecture and roadmap, including both traditional machine learning and Generative AI (GenAI) use cases. •Design comprehensive end-to-end AI solutions covering data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks. •Lead the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks, utilizing tools such as LangChain, LangGraph, or similar. •Develop and deliver cutting-edge AI/ML solutions, incorporating genetic AI techniques, innovative design principles, and scalable deployment strategies. •Gain a good understanding of traditional AI/ML approaches and leverage this knowledge to create robust, hybrid solutions. •Partner cross-functionally with business stakeholders to translate requirements into scalable AI-driven technical solutions. •Evaluate and select appropriate AI/ML tools, cloud services, frameworks, and libraries based on use case needs and industry best practices. •Ensure models adhere to governance, security, explainability, and regulatory compliance, embedding ethical AI principles into system design. Qualifications: •Strong expertise in designing and deploying large-scale AI/ML solutions, including LLMs, RAG frameworks, and genetic AI techniques. •Agentic AI experience: design, develop, and deliver tracing frameworks and LLM observability solutions. •Comprehensive expertise in data workflows, feature engineering, model training, evaluation, and deployment. •Good understanding of traditional AI/ML concepts, alongside expertise in generative AI and related frameworks. •Applied hands-on capability in AI/ML model observability, tracing frameworks, and monitoring solutions. •Knowledge of cloud platforms (AWS, Azure, GCP) and services tailored for AI deployment. •Operational familiarity with model governance, security, explainability, and ethical AI standards. •Strong problem-solving, communication, and stakeholder management skills. •Advanced degree (Ph.D., Master’s) in Computer Science, Data Science, AI, or related fields. •Publications or practical contributions to AI research and open-source projects. Compensation: •$115,000 - $125,000 / year •A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!