Platform & AI Solutions Architect

Energy Jobline ZR; United (WV); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Energy Jobline ZR seeks an senior Enterprise Architect to own and define platform architectures for large-scale AI-enabled systems. You will partner with product and engineering leaders to ensure architectural alignment with business outcomes and drive modernization across cloud, data, and DevOps practices.

The role requires hands-on design and leadership across Python/Java, AWS, Docker/Kubernetes, and Snowflake, with focus on scalable, secure, and cost-efficient solutions.

Qualifications

• Bachelor's degree in a related field; 5+ years in architecture roles.
• Proven ability to decompose complex problem spaces into scalable designs.
• Strong leadership and communication across tech and business stakeholders.
• Experience translating requirements into robust platform architectures.
• Hands-on experience with cloud, containers, and modern DevOps practices.

Responsibilities

• Own and define solution and platform architectures for large scale systems from concept to production.
• Create scalable, high-performance, secure architectures with reliable operation.
• Partner with business leaders and teams to align architecture with outcomes.
• Evaluate new technologies through PoCs and architectural spikes.
• Establish architecture standards, patterns, and best practices across teams.
• Provide mentorship to engineering teams and guide implementation.
• Ensure security, compliance, and regulatory requirements are met.
• Maintain architecture documentation with rationale and trade-offs.
• Evolve platform architecture to improve productivity, reliability, and cost efficiency.

Skills

Architectural Thinking

Technical Leadership

Communication

Requirements Analysis

Platform & Application Architecture

Education

Bachelor's degree

Tools

AWS

Docker

Kubernetes

SQL

NoSQL

Snowflake

Job description

Energy Jobline ZR seeks an senior Enterprise Architect to own and define platform architectures for large-scale AI-enabled systems. You will partner with product and engineering leaders to ensure architectural alignment with business outcomes and drive modernization across cloud, data, and DevOps practices.

The role requires hands-on design and leadership across Python/Java, AWS, Docker/Kubernetes, and Snowflake, with focus on scalable, secure, and cost-efficient solutions.