Solution Architect at IT - Total responsible for translating business needs into technical solutions. Leading workshops and working closely with clients and internal teams to deliver effective solutions.
About the role
- Solution Architect focusing on AI governance and data pipeline design at eSimplicity. Collaborating across teams to drive innovative technology solutions for government clients.
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.
Requirements
- A Bachelor’s degree in Computer Science, Information Systems, Engineering, Math, or other related scientific or technical discipline.
- 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 analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations.
- Proven experience designing secure data solutions with PHI and PII and the associated governance.
- Experienced collaborating with customers and stakeholders to present solutions to the user/stakeholder community and gain user adoption
- Experienced designing cost-optimized cloud scalable solutions
- Experienced fixing architecture issues that impact scalability and performance for large systems with large datasets.
- Experienced with rapid prototyping and greenfield project creation
- Demonstrable experience aligning consensus across multiple interested/affected groups.
- Experience with Atlassian Jira/Confluence
- Excellent verbal and written communication
- Experience working in an agile or SAFe environment
- Ability to obtain and maintain a Public Trust, residing in the United States
Benefits
- Highly competitive salaries
- Full healthcare benefits
Job title
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Tech skills
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