Join us at Sparksoft, where we're not just another tech company—we're a catalyst for change. Our mission isn't just to offer IT solutions; it's to revolutionize the way you work. Here, passion isn't just a buzzword; it's the fuel behind groundbreaking ideas and transformative technologies. We serve a wide range of government clients, delivering impact that's felt across the nation.
Our true strength lies in our people. They're the problem-solvers and innovators consistently delivering extraordinary outcomes. With Sparksoft, you're not stepping into a routine job; you're joining a team committed to innovation and excellence. Our innovation extends beyond just delivering projects. Through our specialized Innovation Centers, we continuously refine our methods, ensuring we remain industry leaders.
We are Sparksoft!
ROLE & RESPONSIBILITIES:
We are seeking a visionary and hands-on Architect with AI experience to lead the design, development, and deployment of intelligent systems within the CMS-Hub contract. This role will focus on building scalable, secure, and compliant solutions including LLM-powered chatbots, voice agents, and deep learning models for federal healthcare applications. The ideal candidate will possess a strong foundation in Enterprise Architecture, cloud-native development, AI/ML engineering and enterprise integration, with a proven ability to deliver production-grade solutions using AWS services and open-source frameworks.
- Work with group of Architect to review and implement CMS compliant architecture and support TRB guidelines.
- Integrate AI into Java-based microservices and legacy systems using DevOps pipelines.
- Design serverless AI applications using Lambda, Step Functions, DynamoDB, S3, and API Gateway.
- Integrate AI with enterprise knowledge bases and CMS systems, ensuring secure and compliant data handling.
- Architect and implement agentic AI systems using LLMs, RAG, and vector databases.
- Build and deploy voice agents and chatbots using Amazon Lex, Bedrock, and custom models.
- Develop and fine-tune models using Amazon SageMaker, HuggingFace, and TensorFlow.
- Implement deep learning pipelines for classification, prediction, and conversational intelligence.
- Evaluate model performance using real-world datasets and feedback loops.
- Build predictive dashboards using Amazon Quick sight, Athena, and Glue.
- Enable automated insights and reporting for CMS stakeholders.
- Implement secure access control using IAM, KMS, and Secrets Manager.
- Ensure compliance with PII/PHI handling, CMS security approvals, and AI safety standards
REQUIRED EXPERIENCE:
- Programming: Java (8+), Apache Camel, Quarkus or Sprint Boot, Python, SQL, Shell scripting
- Container Solutions: AWS EKS and ECS.
- AI/ML Frameworks: Lang Chain, TensorFlow, Hugging Face
- AWS Services: SageMaker, Bedrock, Lex, Comprehend, Kendra, Glue, Athena, Redshift, Lambda, Athena
- DevOps: CI/CD pipelines, containerization, OpenShift, Git, Jenkins
- Security: IAM, KMS, Secrets Manager, CMS security protocols
- Communication: Strong written and verbal skills for stakeholder engagement and demos
- Candidates must be able to obtain and maintain a Public Trust clearance
- Candidates must have lived in the United States 3 out of the past 5 years
PREFERRED EXPERIENCE:
- Familiarity with CMS or Federal systems.
- Prior work on PII/PHI-compliant AI systems and federal data governance.
- Lead technical discussions, demos, and training sessions for internal and external teams.
- Participate in strategic planning and roadmap development for AI initiatives.
EDUCATION & CERTIFICATIONS:
- Bachelor's degree with 8+ years of experience in Computer Science or Engineering
- AWS Certifications Preferred
- Java Certifications Preferred
If you need accommodation seeking employment with Sparksoft Corporation, please email [email protected] or call 410-424-7700. Accommodations are made on a case-by-case basis.
At Sparksoft Corporation, we take security and protection of personal information very seriously. We will never ask you to send private personal information over email. Accordingly, we ask you to immediately contact our security team via email at [email protected] upon receiving a suspicious request.
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