Architect AI Agents that use Tools and Skills including instantiation of MCP clients and servers
Architect scalable end-to-end Retrieval-Augmented Generation (RAG) pipelines
Increase model serving layers and high-throughput data processing pipelines
Designing and implementing secure system architectures for all new AI products
Understand how to use Terraform for provisioning and manage Azure infrastructure-as-code
Understand centralized observability to support automated and reproducible CI/CD pipelines

Bachelor's Degree in Relevant Field or Equivalent Years of Relevant Experience
8+ years of relevant work experience
Expert-level proficiency in Python and SQL
Hands-on experience developing and deploying Generative AI solutions, RAG pipelines, and multi-agent frameworks
5+ years of experience with major cloud platforms, specifically Microsoft Azure, AWS, or Google Cloud Platform (GCP)
1+ years of experience working with and integrating with ERP solutions like IFS Cloud
1+ years of experience working with and managing partners through end-to-end solution design through delivery
Worked on core MLOps and orchestration tools, including Docker, Airflow
Worked with vector search platforms like Azure Cosmos DB for PostgreSQL, Redis, Azure AI Search, or pgvector/Mongo Atlas
Familiarity with classical ML modeling techniques such as Causal Inference, Matrix Factorization, XGBoost
Familiarity with Scaled Agile Framework (SAFe) methodologies.

Health Insurance including Medical, Dental and Vision
401k
Paid Time off
Parental and Caregiver Leave
Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.

Senior Agentic AI Architect – Engineer

Key skills