Customer Solution Architect

eSimplicity; Colombia; Presencial; COP 485.076.000 - 614.429.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

Dental coverage

401(k) retirement benefits

Paid time off

Paid holidays

Descripción de la vacante

eSimplicity is a modern digital services company delivering secure data-driven solutions for government and commercial clients. We are seeking a senior architect who will own enterprise data pipelines and analytics architectures, drive AI/ML integrations, and lead cross-functional teams in a hybrid/remote Eastern time zone environment.

The candidate will shape technical design, governance, and deployment strategies across cloud platforms, with emphasis on scalable, secure data systems and

Formación

• A Bachelor's degree in Computer Science, Information Systems, Engineering, Math, or related technical discipline; with ten years of IT experience and at least four years specialized experience, a degree may not be required.
• Minimum of 10 years of leading system architecture of complex Data Pipeline and Analytics systems on the cloud.
• Demonstrated experience applying AI/ML technologies (e.g., generative AI, LLMs, or model orchestration) within enterprise-scale architectures.

Responsabilidades

• Own and govern enterprise data pipeline and analytics architecture, ensuring scalability and reliability.
• Develop technical designs, product and vendor selections, and reference architectures for enterprise data solutions.
• Lead AI/ML governance, model orchestration, and secure data solutions across PHI/PII and regulatory requirements.
• Collaborate with the Chief Architect and other stakeholders to align technology with business goals.
• Mentor teams, coach through agile practices, and drive adoption of DevSecOps and DataOps methodologies.
• Maintain governance across AI lifecycle, including policy management, risk assessment, and audit logging.

Conocimientos

Data pipelines

Cloud platforms

AI/ML integration

Leadership

Agile/SAFe

Educación

Bachelor's degree in CS/IS/Engineering

10+ years IT experience

Herramientas

Databricks

Hadoop/EMR/Spark/Redshift

Jira/Confluence

Descripción del empleo

eSimplicity is modern digital services company that work 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:

• 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 processes 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 with business growth and direction and stays current on emerging technologies.
• Contributes to the development and management of product roadmaps, backlogs, and measurable success criteria, and writes user stories.
• Enhances and maintains a systems/solutions architecture for a large data processing and reporting system that supports continued growth and modernization of current data repositories and a growing pool of internal and external stakeholders.
• Develops and designs complex solutions, through collaboration, across a variety of data, data-centric applications, and Big Data cloud architectures.
• Develops solutions using Agile frameworks and modern automation strategies, including AnalyticOps, DataOps, and DevSecOps hyper-automation methodologies.
• Spearheads continuous innovation and improvement, and leads the cultural ethos for the project or program (e.g., advocating for consumer-driven engineering).
• Serves as the final-tier subject matter expert for assigned technical areas, staying directly engaged in execution rather than working in a purely advisory capacity.
• Collaborates closely with the program Chief Architect and may augment the role of Deputy Chief Architect for AI implementation and adoption.
• Leads and manages individuals and teams, providing people-management support through coaching, mentoring, 1:1 meetings, and career growth.
• Understands and configures enterprise-grade platforms, especially those involving AI feature management (MCP, A2A), governance, and model orchestration ensuring reliability, performance, and scalability.
• Maintains governance frameworks spanning the full AI lifecycle: policy management, risk assessment, bias/fairness monitoring, audit logging, transparency, immutability, and regulatory compliance.
• Create seamless integrations with CI/CD pipelines, identity/access controls, APIs, repositories, and monitoring systems.
• Implements enterprise deployment models that safeguard data and AI security across PII/PHI, access control, and authorization mechanisms.
• Trains teams and customer end users, develop onboarding and adoption materials, and leads workshops to drive utilization and trust in AI workflows.
• Builds consensus across multiple stakeholder groups data science, DevSecOps, compliance, business, and end users around secure AI capabilities and platform value.
• Evaluates and recommends generative AI, LLM, and agentic frameworks best suited to specific customer and mission needs.
• Designs, prototypes, and iterates AI agent workflows and proofs of concept to demonstrate measurable business value ahead of full-scale rollout.
• Tracks the evolving generative AI and agentic technology landscape, identifying emerging tools, vendors, and best practices worth adopting.
• Other duties as assigned.

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 and 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.).
• Demonstrated experience applying AI/ML technologies (e.g., generative AI, LLMs, or model orchestration) within enterprise-scale architectures.
• Proven experience with data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, data maturity model development and measurement, and 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 and drive user adoption.
• Experienced designing cost-optimized, scalable cloud solutions.
• Experienced resolving architecture issues that impact scalability and performance for large-scale systems and datasets.
• Experienced with rapid prototyping and greenfield project creation.
• Demonstrable experience aligning consensus across multiple interested/affected groups.
• Diverse, outcomes-driven consulting capacity across client environments.
• 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.

Desired Qualifications:

• Industry experience a plus (Medicare, Medicaid, Healthcare, or commercial insurance) or direct experience with government agency Centers for Medicare and Medicaid Services (CMS).
• Data platform certifications (e.g., Databricks), Coding Certifications (Python, R, etc.) and/or AWS Cloud Certifications.
• Successful applied AI outcomes achieving meaningful and measurable improvements or planned outcomes.
• Certifications/Training involving maintaining, designing, and implementing AI/ML Architectures.
• Hands-on experience building or deploying generative AI applications, including LLM integration, prompt engineering, retrieval-augmented generation (RAG), and agentic workflows.
• Familiarity with AI orchestration and vector database tooling (e.g., LangChain, LlamaIndex, Bedrock, Azure OpenAI, Vertex AI, Pinecone).
• Experience evaluating or piloting emerging AI agent protocols and standards (e.g., MCP, A2A).

Working Environment:

eSimplicity supports a hybrid and remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager.

Occasional travel for training and project meetings. It is estimated to be less than 5-10% per year.

eSimplicity offers a comprehensive benefits package:

• medical coverage
• dental coverage
• vision coverage
• 401(k) retirement benefits
• paid time off
• paid holidays
• life insurance
• disability insurance
• wellness and employee support programs

Eligibility may vary based on employment status and applicable plan terms.

Reasonable Accommodation:

eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources.

Equal Employment Opportunity:

eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any other legally protected status.