Senior AI Systems Architect

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent, excited to join that effort. To learn more about our exciting organization, please visit us at

We are seeking a Senior AI Systems Architect to serve as a technical lead and enterprise architect for Artificial Intelligence (AI), Machine Learning (ML), Generative AI (Gen-AI), and advanced analytics initiatives supporting our federal customer. This role is responsible for designing, operationalizing, and scaling secure, mission-focused AI capabilities that enhance customer's AI/ML services, image analysis, anomaly detection, operational intelligence, and decision-support missions.

• Serve as the lead architect for AI and Gen-AI initiatives supporting operational mission requirements across national security customer domains.
• Design and operationalize enterprise AI architectures supporting scalable AI-as-a-Service capabilities across client applications.
• Develop reusable AI frameworks, shared services, and reference architectures aligned with customer enterprise standards and governance models.
• Architect multimodal AI solutions supporting text, image, video, and structured/unstructured data analysis.
• Define enterprise AI integration patterns supporting cloud-native, event-driven, and microservices-based architectures.

• Lead design and deployment of AI/ML and Gen-AI solutions including:
• RAG architectures
• Agentic AI frameworks
• LLM orchestration
• Computer Vision
• Image analysis and object detection
• Anomaly detection
• Predictive analytics
• NLP and summarization services
• Intelligent search and semantic retrieval

Design scalable pipelines for AI model training, inference, monitoring, retraining, and operational management. Implement secure Gen-AI guardrails addressing:

• Hallucination mitigation
• Prompt injection prevention
• Prompt leakage controls
• Explainability and traceability
• Responsible AI governance

Architect high-throughput AI processing frameworks capable of supporting near real-time mission operations and large-scale analytical workloads.

• Integrate AI services into operational systems, mission workflows, and enterprise data platforms.
• Architect event-driven data ecosystems leveraging Kafka/MSK, APIs, streaming pipelines, and real-time interoperability frameworks.
• Support modernization of legacy systems and data platforms into scalable cloud-native AI-enabled architectures.
• Design interoperable data frameworks leveraging NIEM, WCO, JSON/REST APIs, and other federal interoperability standards.
• Enable AI integration across structured and unstructured mission datasets including operational intelligence, targeting data, image repositories, and external partner feeds.

• Architect secure AI environments leveraging AWS and Google cloud ecosystems including:
• Amazon Bedrock
• AWS Sage Maker
• Vertex AI
• Databricks
• Containerized AI platforms

Implement Infrastructure as Code (IaC), automated provisioning, CI/CD, and MLOps pipelines supporting rapid AI deployment and lifecycle management. Design AI operationalization pipelines with:

• Automated model deployment
• Drift monitoring
• Retraining triggers
• Model governance
• Security automation

Collaborate with Dev Sec Ops  and cybersecurity teams to integrate AI solutions into secure enterprise delivery pipelines.

• Ensure all AI architectures comply with:
• DHS security policies
• NIST 800-series standards
• RMF requirements
• Zero Trust principles
• Federal AI governance guidelines

Architect secure data access, role-based controls, encryption, audit logging, and AI activity monitoring. Support ATO processes and system security documentation for AI-enabled solutions. Establish governance frameworks for AI model validation, testing, explainability, and operational accountability.