AI/ML Architect

Zachary Piper Solutions; Sparks (NV); On-site; USD 150,000 - 200,000; Full time

Job summary

Zachary Piper Solutions seeks an experienced AI/ML Architect to lead the design, deployment, and scaling of enterprise AI and Generative AI solutions. You will drive AI strategy, architect cloud-native platforms, and build production-ready systems using AWS, Databricks, Spark SQL, Delta Lake, and MLflow.

The ideal candidate has deep cloud architecture, MLOps, and large-scale data platform experience, with hands-on skills in building enterprise-grade AI applications and integrating them with

Qualifications

• 7+ years of experience in software engineering, cloud architecture, data engineering, or related technical disciplines.
• 3+ years designing and implementing AI/ML and Generative AI solutions in cloud environments.
• Proven experience building enterprise-scale AI applications from concept through production deployment.
• AWS certifications and experience with AI frameworks are highly preferred.

Responsibilities

• Design and implement scalable AI/ML and Generative AI solutions within AWS environments.
• Develop enterprise architecture standards for AI platforms, model deployment, and governance.
• Architect and deploy autonomous AI agents and multi-agent workflows.
• Develop and optimize end-to-end data pipelines and ML workflows using Databricks and related tools.
• Lead technical decisions and mentor engineering teams to deliver AI-driven solutions.

Skills

Python development

MLOps practices

Architectural leadership

Cloud architecture

Tools

AWS services

Databricks

Spark SQL

Delta Lake

MLflow

Terraform

Job description

AI/ML Architect

Location: Sparks, MD

Type: Full-Time, Exempt

Overview

We are seeking an experienced AI/ML Architect to lead the design, deployment, and scaling of enterprise AI, machine learning, and Generative AI solutions. This role will drive AI strategy, architect cloud-native AI platforms, and build production-ready solutions leveraging AWS services, Databricks, and modern AI frameworks.

The ideal candidate has a strong background in cloud architecture, machine learning, Generative AI, MLOps, and large-scale data platforms, with hands-on experience building enterprise-grade AI applications.

Key Responsibilities

AI & Cloud Architecture

• Design and implement scalable AI/ML and Generative AI solutions within AWS environments.
• Develop enterprise architecture standards for AI platforms, model deployment, and governance.
• Ensure high availability, security, performance, and scalability of AI systems.

Agentic AI Solutions

• Architect and deploy autonomous AI agents and multi-agent workflows.
• Build production-ready conversational AI and agent-based systems.
• Design integrations between AI services, enterprise tools, and business applications.

Data & Machine Learning Platforms

• Develop and optimize end-to-end data pipelines and machine learning workflows using Databricks.
• Implement scalable data processing solutions utilizing Spark, Delta Lake, and MLflow.
• Support model training, deployment, monitoring, and lifecycle management.

Generative AI & Analytics

• Integrate Generative AI capabilities into enterprise applications.
• Enable natural language interactions with enterprise data and reporting platforms.
• Develop intelligent solutions that automate insights, recommendations, and decision-making processes.

MLOps & Governance

• Establish MLOps standards, model governance, monitoring, and compliance frameworks.
• Implement model registries, traceability, telemetry, and deployment automation.
• Ensure AI solutions meet security, operational, and regulatory requirements.

Technical Leadership

• Serve as the technical lead for AI and machine learning initiatives.
• Mentor engineering teams and provide architecture guidance.
• Partner with product, engineering, and business stakeholders to deliver AI-driven solutions.

Required Qualifications

Experience

• 7+ years of experience in software engineering, cloud architecture, data engineering, or related technical disciplines.
• 3+ years of experience designing and implementing AI/ML and Generative AI solutions in cloud environments.
• Proven experience building enterprise-scale AI applications from concept through production deployment.

Technical Expertise

• Strong hands-on experience with AWS AI and machine learning services.
• Deep knowledge of Databricks, Spark SQL, Delta Lake, and MLflow.
• Experience building conversational AI systems and agent-based architectures.
• Strong Python development skills.
• Experience with Infrastructure as Code (IaC), preferably Terraform.
• Understanding of modern MLOps practices, model governance, and CI/CD pipelines.

Preferred Experience

• Experience with GenAI frameworks such as LangGraph, CrewAI, or similar agent orchestration tools.
• Experience integrating AI systems with enterprise platforms and business applications.
• Familiarity with cloud-native application architecture and containerized environments.

Required Certifications

• AWS Certified Solutions Architect – Associate
• AWS Certified AI Practitioner

Preferred Certifications

• AWS Certified Solutions Architect – Professional
• AWS Certified Generative AI Developer – Professional
• Databricks Machine Learning Professional or Data Engineer Professional
• AWS Certified Machine Learning – Specialty

Compensaiton

• Salary: $150,000 - $200,000
• Benefits: PTO, Paid Holidays, Medical, Dental, Vision, 401(k), Sick Leave (as required by law).