Senior AI Engineer (Databricks Platform Specialist) - PA locals only

Job Description: Senior AI Engineer (Databricks Platform Specialist)
Location: King of Prussia, PA (Onsite Full-Time - Local Candidates Only)
 No OPT, CPT, or H1B. Critical Note for s: To ensure authenticity, the date of birth on the candidate's profile must be before 1989.
About the Role:
seeking a highly proficient and certified AI Engineer to join our innovative team. This role is central to designing, building, and deploying cutting-edge AI and Generative AI solutions on the Databricks platform. The ideal candidate is not just a practitioner but a champion of the Databricks ecosystem, with a proven track record of leveraging its full suite of tools—from MosaicAI and Unity Catalog to MLflow and Delta Lake—to solve complex business challenges and drive intelligent workflow automation.
Key Responsibilities:

• Generative AI & LLM Solution Development: Design, implement, and optimize end-to-end Generative AI solutions, including advanced RAG pipelines, Agentic AI systems, and LLM-integrated applications using frameworks like LangChain and LlamaIndex.
• End-to-End ML Pipeline Ownership: Architect, build, and deploy scalable, production-grade AI/ML models and training pipelines within the Databricks environment, ensuring high efficiency, accuracy, and reliability.
• Databricks Platform Mastery: Expertly utilize core Databricks features including Unity Catalog (governance, lineage), Delta Live Tables (data validation, ETL), MLflow (experiment tracking, model registry), Feature Store, and Vector Search.
• MLOps & Production Engineering: Implement robust MLOps practices using Databricks Data Assets Bundles for CI/CD, containerization (Docker/Kubernetes), and model serving to ensure seamless deployment, monitoring, and retraining of models.
• Cloud-Native Integration: Integrate AI models into production systems using APIs, microservices, and cloud-native architectures on AWS, Azure, or Google Cloud Platform.
• Innovation & Best Practices: Stay current with the latest advancements in AI, distributed computing, and the Databricks platform, continuously improving our methodologies and ensuring adherence to security, compliance, and performance standards.

Required Skills & Qualifications:

• Certification: Mandatory possession of the Databricks Certified Generative AI Engineer credential.
• Experience: 5+ years of proven, hands-on experience developing and deploying AI/ML solutions, with significant expertise specifically on the Databricks platform.
• Technical Proficiency:
  • Strong programming skills in Python and PySpark.
  • Deep, practical knowledge of Spark, Databricks Notebooks, and the wider Databricks ecosystem.
  • Hands-on experience with MosaicAI, Unity Catalog, Delta Live Tables (DLT), and Data Assets Bundles.
• Generative AI Expertise: Demonstrable experience with Transformer-based models, LLMs, vector databases, embedding techniques, and the construction of Retrieval-Augmented Generation (RAG) pipelines.
• MLOps & DevOps: Solid understanding of MLOps principles, CI/CD for machine learning, and containerization technologies.
• Problem-Solving: Excellent analytical, problem-solving, and communication skills.

Mandatory Client Requirements (Non-Negotiable):

1. Work Location: Must be local to the King of Prussia, PA area. No relocation.
2. Work Model: This is a full-time, onsite position.
3. Verification: For s, the candidate's Date of Birth must be before 1989. This is a mandatory client requirement for profile verification.

How to Apply:
If you are a certified Databricks expert with a passion for Generative AI and meet all the above requirements, we encourage you to apply. Please ensure your submission clearly confirms your local status, visa citizenship, and certification.