Customer Solution Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of technical solution requirements for enterprise-level data-driven information systems.

• Develop technical designs, select products and vendors, and create application and technical architectures.

• Provide expertise in technology and platforms while leading the technical decision-making process.

• Manage intricate technology implementations and continuously optimize and refactor systems.

• Ensure technical design and architecture align with business growth and strategic direction.

• Contribute to product roadmaps, backlogs, success metrics, and user stories.

• Maintain the architecture of systems and solutions for extensive data processing and reporting.

• Design sophisticated data solutions, data-centric applications, and Big Data cloud architecture.

• Create solutions utilizing Agile, AnalyticOps, DataOps, and DevSecOps hyper-automation methodologies.

• Drive ongoing innovation and improvement in projects or programs.

• Act as the final-tier subject matter expert while remaining actively involved in execution.

• Collaborate with the program Chief Architect and potentially enhance the Deputy Chief Architect role for AI implementation and adoption.

• Lead and manage individuals and teams through coaching, mentoring, one-on-one meetings, and career development support.

• Configure enterprise platforms related to AI feature management, governance, and model orchestration.

• Maintain comprehensive AI governance frameworks covering policy, risk, bias/fairness, audit logging, transparency, immutability, and compliance.

• Integrate platforms with CI/CD pipelines, identity/access controls, APIs, repositories, and monitoring systems.

• Implement secure enterprise deployment models for PII/PHI, access control, and authorization.

• Train teams and end users, develop onboarding and adoption materials, and lead workshops.

• Build consensus among stakeholders in data science, DevSecOps, compliance, business, and end-user domains.

• Evaluate and recommend generative AI, LLM, and agentic frameworks.

• Design, prototype, and iterate AI agent workflows and proofs of concept.

• Monitor emerging generative AI and agentic technologies, tools, vendors, and practices.

• Perform additional duties as assigned.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related scientific or technical field.

• Alternatively, ten years of general information technology experience and a minimum of four years of specialized experience; degree is not mandatory.

• At least 10 years of experience leading system architecture for complex cloud-based Data Pipeline and Analytics systems.

• Over 6 years of hands-on experience in data-centric software development and complex architecture design.

• Strong background in software engineering, emphasizing best practices and iterative/continuous engineering principles.

• Proficiency with Databricks, Hadoop, EMR, Spark, Redshift, or similar technologies.

• Experience applying AI/ML technologies, including generative AI, LLMs, or model orchestration within enterprise-scale architectures.

• Knowledge of data augmentation, data quality analysis, data analytics, data profiling, data algorithms, data maturity models, and data strategy.

• Expertise in designing secure data solutions involving PHI and PII along with associated governance.

• Experience in collaborating with customers and stakeholders to present solutions and encourage adoption.

• Ability to design cost-optimized, scalable cloud solutions.

• Capable of resolving architecture issues that impact the scalability and performance of large-scale systems and datasets.

• Experience with rapid prototyping and greenfield project development.

• Proficiency in aligning consensus across multiple interested or affected parties.

• Diverse, outcome-driven consulting experience in various client environments.

• Familiarity with Atlassian Jira and Confluence.

• Excellent verbal and written communication skills.

• Experience working within an Agile or SAFe environment.

• Ability to obtain and maintain a Public Trust clearance.

• Must be a resident of the United States.

• Desired: Experience in Medicare, Medicaid, healthcare, commercial insurance, or CMS.

• Desired: Certifications in Databricks, Python, R, or AWS.

• Desired: Demonstrated applied AI outcomes that lead to significant and measurable improvements or intended results.

• Desired: Certifications or training in AI/ML architecture design and implementation.

• Desired: Experience in generative AI application development or deployment, including LLM integration, prompt engineering, RAG, and agentic workflows.

• Desired: Familiarity with AI orchestration and vector database tools such as LangChain, LlamaIndex, Bedrock, Azure OpenAI, Vertex AI, or Pinecone.

• Desired: Experience in evaluating or piloting MCP, A2A, or similar AI agent protocols and standards.

• Expected availability from 9:00 AM to 5:00 PM Eastern unless otherwise instructed.

🏝️ Benefits

• Medical coverage.

• Dental coverage.

• Vision coverage.

• 401(k) retirement benefits.

• Paid time off.

• Paid holidays.

• Life insurance.

• Disability insurance.

• Wellness and employee support programs.

• Remote work environment.

• Hybrid work environment.

• Occasional travel estimated at less than 5-10% per year.