Customer Solution Architect

Job Type Full-time Description

About Us:

eSimplicity is a modern digital services company that works across government, partnering with our clients to improve the lives and ensure the security of all Americans—from soldiers and veteran to kids and the elderly, and defend national interests on the battlefield. Our engineers, designers and strategist cut through complexity to create intuitive products and services that equip Federal agencies with solutions to courageously transform today for a better tomorrow for all Americans.

Purpose and Scope:

We’re seeking a passionate Solution Architect who is experienced in performing system architecture work with emphasis on AI adoption, governance, scalability, and efficiency. This customer solution SME is an enthusiastic advocate driven to help our teams and customers deliver better and faster business outcomes.

Essential Responsibilities:

• Identifies and owns entire technical solution requirements in the development of enterprise-wide data-driven information systems.
• Creates specific technical design, product and vendor selection, application, and technical architectures.
• Provides subject matter expertise on applicable technologies and platforms and leads decision process to identify the best options.
• Serves as the owner of complex technology implementations, with an eye toward constant reengineering and refactoring to ensure the simplest and most elegant system possible to accomplish the desired need.
• Ensures strategic alignment of technical design and architecture to meet business growth and direction and stay on top of emerging technologies.
• Contributes to the development and management of product roadmaps, backlogs, and measurable success criteria, and writing user stories.
• Enhance and maintain a systems/solutions architecture for a large data processing and reporting system of systems that supports continued growth and modernization of current data repositories and growing pool of internal/external stakeholders.
• Develop and design complex solutions, through collaboration, across a variety of data, data-centric applications and/or Big-Data cloud architectures
• Develop solutions on Agile framework and utilizes modern automation strategies AnalyticOps, DataOps, DevSecOps hyper-automation methodologies.
• Responsible for spearheading (program) continuous innovations, improvements, and a leader of the cultural ethos for the project and/or program (e.g. Advocate for Consumer Driven Engineering).
• Hands-On Solution Architect, the final tier-SME for assigned responsible areas
• Collaborates closely with program Chief Architect; May augment roles as Deputy Chief Architect for the program with respect to AI implementation and adoption.
• Leads and manages individuals and teams, providing people management support through coaching/mentoring, 1:1 meeting, and fostering career growth.
• Understand and configure enterprise grade platforms—especially those involving AI feature management (MCP, A2A), governance, or model orchestration—ensuring reliability, performance, and scalability.
• Maintains governance frameworks that span the full AI lifecycle: policy management, risk assessment, bias/fairness monitoring, audit logs, transparency, immutability, and regulatory compliance frameworks
• Ability to create seamless integrations with CI/CD pipelines, identity/access controls, APIs, repositories, and monitoring systems
• Hands-on with enterprise deployment models that ensure data and AI security across PII/PHI, access control, and authorization mechanisms.
• Train teams and (customer) end users, develop onboarding and adoption materials, and lead workshops to drive utilization and trust in AI workflows.
• Aligns consensus from multiple stakeholder groups—data science, DevSecOps, compliance, business, etc. users all around secure AI capabilities and platform value.
• Other duties as assigned.

Requirements

Requirements:

• A Bachelor’s degree in Computer Science, Information Systems, Engineering, Math, or other related scientific or technical discipline. With ten years of general information technology experience and at least four years of specialized experience, a degree is not required.
• Minimum of 10 years of leading system architecture of complex Data Pipeline and Analytics systems on the cloud.
• Strong experience in software engineering, including implementing engineering best practices, iterative/continuous engineering principles
• 6+ years of hands-on data-centric software development experience and designing solutions on complex architectures (Databricks, Hadoop, EMR, Spark, Redshift etc.).
• Proven experience dealing with data augmentation, data quality analysis, data analytic