AI Solution Architect

XCUTIVES INC.; Minneapolis (MN); On-site; USD 180,000 - 230,000; Full time

Job summary

XCUTIVES INC. is seeking a senior architect to lead distributed systems and platform engineering for manufacturing and AI-enabled knowledge platforms. The role emphasizes building scalable microservices, event-driven architectures, and robust API ecosystems.

You will collaborate with cross‑functional teams to shape product direction, enforce governance in data pipelines, and guide the implementation of catalog services and orchestration tooling. Strong leadership and communication are essential.

Qualifications

• Bachelor's or master's degree in computer science, engineering, or related field.
• 7+ years in distributed systems or platform engineering, with 3+ years in AI/Knowledge/ML infra.
• Experience in architecture roles focusing on manufacturing and industrial applications.
• Strong expertise in microservices, event-driven systems, and API platform design.
• Hands-on with catalog services: OpenMetadata, DataHub, Amundsen, or custom catalogs.
• Orchestration: Airflow, Dagster, Ray, LangGraph, or similar.
• Python, Go, or TypeScript with solid API development, caching, and messaging (Kafka, SQS).
• Familiarity with retrieval architectures (RAG, hybrid) and semantic search design.
• Governance hooks (RBAC, lineage, audit) in data/AI pipelines.
• Excellent communication, cross-functional teamwork, and stakeholder management.

Skills

Distributed systems

Platform engineering

Microservices

Event-driven architecture

API design

Python

Go

TypeScript

Kafka/SQS

System integration

Education

Bachelor's or Master's in CS/Engineering

Tools

OpenMetadata

DataHub

Amundsen

Airflow

Dagster

Ray

LangGraph

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:
  • 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.).
• 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