- Bachelor’s or master’s degree in computer science, Engineering, or a related field.• Experience in architecture roles with a focus on manufacturing and industrial applications.• 7+ years in distributed systems or platform engineering, with 3+ years in AI/Knowledge/ML infrastructure.• Strong expertise in microservices, event-driven systems, and API platform design.• Hands-on experience with one or more of:• Vector DBs / Graph Stores: Weaviate, Neo4j, ArangoDB, RedisGraph, Milvus.• Knowledge/Metadata Services: OpenMetadata, DataHub, Amundsen, or custom catalog services.• Orchestration & Pipelines: Airflow, Dagster, Ray, LangGraph, or similar.• Skilled in Python, Go, or TypeScript, with strong fundamentals in API development, caching, and messaging systems (Kafka, SQS, etc.).• Familiarity with retrieval architectures (RAG, hybrid retrieval) and semantic search design principles.• Experience embedding governance and policy hooks (RBAC, lineage, audit) in data or AI pipelines.• Proficient in traditional and modern architectural patterns, software development, and system integration.• Demonstrated ability to think strategically and integrate a broad range of ideas regarding product development.• Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and manage stakeholder expectations.• Proven leadership abilities and experience in working with diverse and globally distributed teams.
Pay: $140,000.00 - $180,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Work Location: Remote
