Solution Architect AI

Job Description - • 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. 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 (LangGraph, ServiceNow Agentic AI, Azure Foundry, Bedrock AgentCore). • Prior experience designing developer platforms or internal PaaS for AI or knowledge systems. • Exposure to policy enforcement and observability (OpenTelemetry, SPIFFE/SPIRE, OPA). • Experience with schema/ontology evolution tooling and event-driven synchronization patterns Show more Show less