Role: Sr Data Architect (AI)
Location: ONSITE- Raleigh, NC/ Hybrid
Contract
Experience requested: 10+ YRS
Role Description:
· GenAI, LLMs,
· RAG pipelines, vector databases
· Python SQL (expert level)
· Cloud-native data platforms (Snowflake, Airflow, Vertex AI AWS Azure)
· Modern AI frameworks (LangChain, Hugging Face, PySpark)
· Data modeling cloud architecture
· Building AIML pipelines end-to-end
· Hands-on prototyping and productionizing AI solutions
· Competencies: Data Architecture and Modeling
Description:
Advanced Data Solutions & Engineering
· Prototype and operationalize advanced AI solutions, including GenAI and LLM-based systems.
· Build and integrate cloud-native data pipelines using tools such as Snowflake, Airflow, and Vertex AI.
· Implement retrieval-augmented generation (RAG) pipelines and multimodal data solutions
· Drive automation, observability, and performance optimization across AI and data workflows.
Innovation & Applied AI
· Lead initiatives to explore, validate, and scale emerging AI technologies.
· Translate research and prototypes into production-ready capabilities.
· Collaborate across teams to embed AI-driven insights and automation into business processes.
· Evaluate and shape next-generation AI trends, including agentic systems and autonomous workflows.
Technology Leadership & Best Practices
· Champion hands-on experimentation and rapid solution delivery while maintaining technical excellence.
· Define and promote engineering standards that balance agility, scalability, and governance
· Collaborate with security, compliance, and governance partners to ensure responsible data and AI usage.
· Mentor engineers and architects in modern data and AI development practices.
Collaboration & Knowledge Sharing
· Act as a trusted advisor for business and technology leaders on data-driven innovation.
· Lead internal workshops and training sessions to accelerate AI adoption.
· Represent the organization in external forums, conferences, and publications focused on data and AI innovation.
Qualifications
· 10+ years of experience in enterprise data architecture or engineering, with a strong hands-on focus on AI and cloud-native data platforms.
· Proven experience in designing, implementing, and optimizing large-scale AI systems, including LLM-based, GenAI, and Agentic AI applications.
· Expertise in Python, SQL, and modern data frameworks (e.g., PySpark, Airflow, Snowflake, Langchain, Hugging Face, Vertex AI, OpenAI)
· Strong background in data modelling, distributed systems, and cloud architecture (AWS, GCP, or Azure).
· Experience developing and deploying AI/ML/GenAI pipelines leveraging vector databases and RAG frameworks
· Bachelors or Master's degree in Computer Science, Engineering, Data Science, or related field.
Preferred:
· Experience with agentic AI design patterns, including tool-use orchestration, autonomous workflow agents, or AI copilots.
· Proficiency in API design, microservices, and containerization (Docker, Kubernetes).
· Demonstrated ability to rapidly prototype new AI concepts and transition successful PoCs into production-grade systems. "