AI/ML Architect - 174829

Location: Sparks, MD. Type: Full-Time, Exempt.

About the role

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.

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.

Requirements

• 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 Qualifications

• 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.

Certifications

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

Pay

Salary: $150,000 - $200,000

Benefits

• PTO
• Paid Holidays
• Medical
• Dental
• Vision
• 401(k)
• Sick Leave (as required by law)