Position Details: Solution Architect AI-Generative AI

Platform Architect

We are looking for a hands-on Platform Architect who will design and build the Knowledge Fabric Enablement Layer — the foundational system that allows teams to define, register, manage, and operationalize enterprise knowledge for Agentic AI. This role focuses on building the infrastructure, APIs, and orchestration capabilities that make knowledge integration, reasoning, and retrieval possible  will architect the services, abstractions, and developer interfaces that let others plug in their own data, ontologies, and retrieval logic — while ensuring consistency, observability, and governance across the enterprise.

Key Responsibilities:

• Design the Knowledge Fabric Platform Services
• Develop Knowledge APIs and SDKs
• Implement Fabric Orchestration Layer
• Enable Ontology Lifecycle Management
• Governance & Observability Enablement
• Performance & Scalability Engineering
• Collaboration & Developer Experience

Qualifications:

• 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, Redis Graph, Milvus.
• Knowledge/Metadata Services:
  Open Metadata, Data Hub, Amundsen, or custom catalog services.
• Orchestration & Pipelines:
  Airflow, Dagster, Ray, Lang Graph, or similar.
• Skilled in Python, Go, or Type Script, 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.
• Preferred Qualifications:
• Experience with Generative, DL/ML/AI, IoT, and data analytics in a manufacturing environment.
• Certifications in cloud architecture (AWS Certified Solutions Architect, Google Cloud Professional Architect, etc.).
• Prior experience in agile development environments.
• Familiarity with multi-agent orchestration frameworks (Lang Graph, Service Now Agentic AI, Azure Foundry, Bedrock Agent Core).
• Prior experience designing developer platforms or internal PaaS for AI or knowledge systems.
• Exposure to policy enforcement and observability (Open Telemetry, SPIFFE/SPIRE, OPA).
• Experience with schema/ontology evolution tooling and event-driven synchronization patterns.

Salary Range: $132,600 - $179,400 a year