Remote Enterprise AI & Data Solutions Architect

eSimplicity; Columbia (MD); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical benefits

Dental & vision

401(k)

Paid time off

Hybrid/remote work

Job summary

eSimplicity is seeking a hands-on Customer Solutions Architect to bridge strategy and execution, designing enterprise data architectures and leading AI adoption across government-focused projects in the Eastern time zone. You’ll shape governance, scalability, and efficiency while coaching teams.

The role emphasizes collaboration with stakeholders, configuring AI platforms, ensuring security for PHI/PII, and delivering measurable business outcomes through modern DevSecOps and DataOps practices.

Qualifications

• Bachelor’s degree or equivalent with 10+ years IT/architecture experience.
• 10+ years leading data pipeline and analytics cloud architectures.
• Experience applying AI/ML in enterprise-scale systems.
• Strong communication and stakeholder engagement skills.

Responsibilities

• Own enterprise data solution requirements and architecture across platforms.
• Design technical architectures, product and vendor selections.
• Lead AI governance, model orchestration, and security for PHI/PII.
• Develop roadmaps, backlogs, and measurable success criteria.
• Coach and manage teams; align technical design with business goals.
• Collaborate with Chief/Deputy Architects on AI adoption.

Skills

Enterprise architecture

AI/ML technologies

Data pipelines

Cloud platforms

Leadership

Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Hadoop

EMR

Spark

Redshift

Jira/Confluence

Job description

eSimplicity is seeking a hands-on Customer Solutions Architect to bridge strategy and execution, designing enterprise data architectures and leading AI adoption across government-focused projects in the Eastern time zone. You’ll shape governance, scalability, and efficiency while coaching teams.

The role emphasizes collaboration with stakeholders, configuring AI platforms, ensuring security for PHI/PII, and delivering measurable business outcomes through modern DevSecOps and DataOps practices.