AI Solution Architect - Remote

Solutions Architect

Title: Solution Architect
Duration: 12+ months
Location: Washington, D.C. (Remote)
Candidates must have transportation domain experience in railway, airlines, or transit authorities.

About the role

Lead technical solutioning for operational data pipelines, real-time streaming ingestion, event processing, and lakehouse patterns applied to train performance, delay causality, and asset health data.

Responsibilities

• Perform structured business process analysis, process mapping, As-Is/To-Be modeling, gap analysis, workflow decomposition, and technical design.
• Design for 24/7 operational availability on cloud and hybrid platforms (AWS, Azure, or GCP).
• Lead technical solutioning for operational data pipelines, real-time streaming ingestion, event processing, and lakehouse patterns applied to train performance, delay causality, and asset health data.
• Engage directly with operational stakeholders such as dispatchers, controllers, planners, front-line supervisors to ground architecture decisions in actual workflow context.
• Design and implement AI/ML-enabled operations, including predictive maintenance, anomaly detection, scheduling optimization, and computer vision inspection pipelines.
• Develop rigorous, execution-grade architecture artifacts such as solution design documents, integration maps, API contracts, non-functional requirement matrices, and Architecture Decision Records.
• Manage scope, communicate proactively on blockers, and maintain artifact quality without close supervision, including support for RFP/RFQ technical inputs, vendor evaluations, and architecture governance participation.

Requirements

• 10+ years of progressive IT/technology experience with a foundation in hands-on engineering delivery, application development, systems integration, or data platform work.
• 5+ years as a Solutions or Enterprise Architect with demonstrated ownership of complex, multi-system solutioning in rail, transit, airlines, or transportation operations.
• Experience designing for 24/7 operational availability on cloud and hybrid platforms (AWS, Azure, or GCP).
• Familiarity with AI/ML-enabled operations, including predictive maintenance, anomaly detection, scheduling optimization, and computer vision inspection pipelines.
• Experience with lakehouse architecture (Databricks, Delta Lake, Unity Catalog) applied to operational and engineering data.

Qualifications

• Deep command of integration architecture: event-driven patterns, REST/GraphQL APIs, pub/sub and streaming (Kafka or equivalent), and data exchange in operational contexts spanning OT/IT boundaries.
• Proven ability to perform structured business process analysis, process mapping, As-Is/To-Be modeling, gap analysis, workflow decomposition, and technical design.
• Direct engagement experience with operational stakeholders such as dispatchers, controllers, planners, front-line supervisors to ground architecture decisions in actual workflow context.
• Experience with AI/ML-enabled operations, including predictive maintenance, anomaly detection, scheduling optimization, and computer vision inspection pipelines.
• Familiarity with lakehouse architecture (Databricks, Delta Lake, Unity Catalog) applied to operational and engineering data.

Skills

• Integration architecture: event-driven patterns, REST/GraphQL APIs, pub/sub and streaming (Kafka or equivalent), and data exchange in operational contexts spanning OT/IT boundaries.
• Structured business process analysis, process mapping, As-Is/To-Be modeling, gap analysis, workflow decomposition, and technical design.
• AI/ML-enabled operations: predictive maintenance, anomaly detection, scheduling optimization, and computer vision inspection pipelines.
• Lakehouse architecture (Databricks, Delta Lake, Unity Catalog) applied to operational and engineering data.

Benefits

Not specified

Pay

Not specified

Schedule

Remote 90%, Travel for some important meetings may be 10%