Senior AI Systems Architect

Description

Senior AI Systems Architect:

At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition. We have incorporated these values into successful delivery for our customers since 1988. B&A believes in ensuring its employees feel deeply connected to B&A, recognizing successes and hard work, and providing continuous opportunities to learn and grow. Our people are entrepreneurial thinkers that combine mindset, vision, and experience to drive value – not only to us as an organization, but to the clients we support. We promote a collaborative culture with our clients, and with each other, as one team working towards a common vision. We’d love for you to join our team!

Job Summary:

B&A is looking for a Senior AI Systems Architect to join a contract with a federal government client in support of an important mission.

The Senior AI Systems Architect leads the design of enterprise AI ecosystems and reusable AI services within the client's AI Enablement Center, enabling AI-as-a-Service capabilities across multiple applications and operational environments. The role combines enterprise architecture, AI engineering, cloud modernization, cybersecurity, and mission operations expertise to deliver scalable, secure, and governable AI solutions aligned with operational requirements and federal AI governance mandates.

This position serves as a trusted technical advisor to leadership, program stakeholders, architects, developers, data scientists, and cybersecurity teams while driving the transition of AI capabilities from research and experimentation into production operational environments.

Responsibilities:

• •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 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.
• •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.

Education and Experience:

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

Required Skills:

• •Strong expertise in:
• •Generative AI
• •LLM architectures
• •RAG frameworks
• •MLOps
• •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.

Security Clearance:

Active TS or CBP BI

Physical & Work Environment Requirements

Employees must be able to perform the essential functions of this position, with or without accommodation.

• •Ability to remain stationary for extended periods while working at a computer.
• •Frequently operate standard office equipment, including computers and telephones.
• •Ability to communicate effectively in person, by telephone, video conference, and email.
• •Occasionally move about the office and lift up to 20 pounds.
• •Ability to work the assigned schedule with regular and reliable attendance.
• •Ability to travel up to 10% as required.

More About B&A:

• Notable Clients
• B&A has grown to be a company that is trusted by our clients for exceptional service, innovative solutions, and inspired employees. Our service extends through federal, state, and local Government, the private sector, and higher education. Some of our notable clients include Department of Homeland Security, U.S. Customs and Border Protection, U.S. Senate, U.S. Courts, U.S. Census Bureau, U.S. Navy, and more.

Benefits and Programs

B&A is proud to offer three robust individual and family medical plans to full time employees, including a Health Savings Account (HSA) option as well as two tiers of dental coverage, vision, life & AD&D, disability, accident, hos