Senior AI Systems Architect

Unissant; Ashburn (VA); On-site; USD 170,000 - 230,000; Full time

Job summary

Unissant, Inc. seeks a Senior AI Systems Architect to serve as technical lead and enterprise architect for AI/ML, Gen-AI, and analytics initiatives for a federal customer. You will design scalable AI capabilities, implement guardrails, and ensure secure, mission-focused solutions across cloud-native architectures.

The role emphasizes leadership, collaboration with cybersecurity teams, and modernization of legacy systems into AI-enabled architectures, with on-site work in Ashburn, VA.

Qualifications

• 12+ years of enterprise architecture, AI/ML engineering, cloud modernization, or advanced analytics solutions.
• 5+ years designing and implementing AI/ML or Gen-AI solutions in enterprise or federal environments.
• Strong expertise in Generative AI, LLM architectures, RAG frameworks, MLOps, AI operationalization, Computer Vision, NLP, Cloud-native architectures.

Responsibilities

• Lead architecture for AI/Gen‑AI initiatives across national security domains.
• Design scalable enterprise AI architectures supporting AI‑as‑a‑Service capabilities.
• Architect multimodal AI solutions for text, image, video, and structured/unstructured data.
• Define integration patterns for cloud-native, event-driven, microservices architectures.
• Architect secure AI environments and governance frameworks.

Skills

Enterprise AI Architecture

Generative AI

Cloud-Native Engineering

MLOps & AI Operationalization

Mission Systems Modernization

Event-Driven Architecture

Computer Vision & Image Intelligence

DevSecOps & Zero Trust

Federal Security & Compliance

Technical Leadership

Innovation & Research

Executive Communication

Education

Bachelor's Degree in Computer Science, Information Technology Management or Engineering

MBA/Master's Degree in a relevant field

Job description

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 www.unissant.com.

Position Overview

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.

Enterprise AI Architecture & Strategy

• 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.

AI/ML & Gen-AI Solution Engineering

• 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.

Mission Systems Integration & Modernization

• 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.

Cloud, MLOps & DevSecOps

• Architect secure AI environments leveraging AWS and Google cloud ecosystems including:
• Amazon Bedrock
• AWS SageMaker
• 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 DevSecOps and cybersecurity teams to integrate AI solutions into secure enterprise delivery pipelines.

Security, Governance & Compliance

• 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.

Innovation & Research

• Collaborate with customer, cloud providers, academic institutions, and emerging technology partners to evaluate and operationalize innovative AI capabilities.
• Lead technical evaluations, proof-of-concepts, and pilot initiatives for emerging AI technologies.
• Research and operationalize advanced AI capabilities including:
• Agentic AI
• Multimodal AI
• Federated AI
• Synthetic data generation
• Massive parallel AI processing
• AI-enabled image intelligence

Support the expansion of CBP's Technology Reference Model (TRM) for AI technologies and tools.

Technical Leadership & Stakeholder Engagement

• Provide technical leadership and mentorship to AI engineers, data scientists, architects, and development teams.
• Lead architecture reviews, technical strategy sessions, and solution design workshops.
• Translate operational mission requirements into scalable technical architectures and implementation roadmaps.
• Develop technical white papers, executive briefings, architecture diagrams, and implementation strategies for leadership.
• Support proposal development, technical volume writing, and customer demonstrations for customer's AI initiatives.

Required Work Experience and Job Skills

• 12+ years of experience in enterprise architecture, AI/ML engineering, cloud modernization, or advanced analytics solutions.
• 5+ years designing and implementing AI/ML or Gen-AI solutions in enterprise or federal environments.
• Strong expertise in:
• Generative AI
• LLM architectures
• RAG frameworksMLOps
• AI operationalization
• Computer Vision
• NLP
• Cloud-native architectures

Experience with AWS and/or Google Cloud AI ecosystems.

Strong experience designing:

• Event-driven architectures
• API ecosystems
• Data streaming platforms
• Microservices architectures
• Enterprise integration frameworks

Experience implementing secure AI and DevSecOps pipelines within regulated environments. Strong understanding of federal cybersecurity and compliance frameworks including NIST RMF and Zero Trust. Experience operationalizing AI-as-a-Service capabilities across mission applications. Experience designing scalable multimodal AI platforms supporting image intelligence, semantic search, and automated metadata generation. Experience reducing operational analytical processing times from hours/days to near real-time through the implementation of massively parallel AI architectures. Experience implementing secure AI governance and operationalization frameworks aligned with customer AI policies and federal security mandates. Experience enabling reusable enterprise AI services to accelerate adoption of AI across operational domains.

Preferred

• Experience supporting National Security or Intelligence Community programs.
• Experience with:
• Image analysis and anomaly detection platforms
• Operational intelligence environments

Knowledge Of

• NIEM
• WCO Data Model
• HL7/FHIR
• Federated data architectures
• Synthetic data generation

Experience operationalizing multimodal AI and large-scale AI inferencing environments.

Required Skills

• Enterprise AI Architecture
• Generative AI & Agentic AI
• Cloud-Native Engineering
• MLOps & AI Operationalization
• Mission Systems Modernization
• Event-Driven Architecture
• Computer Vision & Image Intelligence
• DevSecOps & Zero Trust
• Federal Security & Compliance
• Technical Leadership
• Innovation & Research
• Executive Communication

Education

• Bachelor's Degree in Computer Science, Information Technology Management or Engineering is required.
• MBA/Master's Degree in a relevant field of study preferred.

Certificates, Licenses And Registrations

• This federal program requires the candidates to be a United States Citizen.
• Must have an active DHS clearance.
• Any related systems engineering, or related technical certifications are desired.
• SAFe Agile or cloud certifications preferred.

Communication Skills

• Must have excellent written and verbal communication skills
• Ability to convey technical information to non-technical individuals.
• Demonstrated experience communicating effectively across internal and external organizations.
• Must work well in a matrixed team environment.

Travel

• This position is on-site in Ashburn, VA

Environmental Requirements

• Mainly sedentary; in an office environment
• May be required to lift up to ten (10) pounds
• Flexible in working extended hours

The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.

Please note: Candidate(s) will be required to go through pre-employment screening.

Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets)