Remote GenAI Architect: Agentic AI & RAG Systems

Booz Allen; Fayetteville (NC); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton seeks an experienced Cloud Solutions Architect to design, develop, and deliver production-grade agentic AI systems that leverage prompting, RAG, and autonomous workflows. You will architect modular AI patterns, integrate cloud-hosted, local, and hybrid models, and optimize for latency, cost, observability, and safety across deployments.

In this role, you will collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class AI

Qualifications

• 2+ years of software engineering experience.
• 2+ years in AI/ML-focused roles in a professional environment.
• Experience with Python and applying it to AI/ML solution development.
• Experience designing and implementing production-grade generative or agentic AI applications.
• Experience with RAG architectures, evaluation methodologies, experimentation workflows, and asynchronous or event-driven programming patterns.
• Knowledge of data processing techniques for AI, including text, audio, and multi-modal.
• TS/SCI clearance.
• Bachelor’s degree.

Responsibilities

• Design adaptable AI architectures that support multiple model providers, tool ecosystems, modalities, and deployment modes.
• Integrate LLMs, embeddings, RAG pipelines, structured outputs, and long-context or memory mechanisms into production-ready systems.
• Develop data pipelines for ingestion, cleaning, chunking, embedding, indexing, and continuous refresh of structured and unstructured data for RAG and memory systems.
• Incorporate guardrails, safety filters, access controls, and monitoring mechanisms to ensure responsible and secure deployment of agentic AI systems.
• Deploy AI services securely and at scale on AWS or equivalent cloud platforms.
• Apply CI/CD and evaluation-driven development best practices for AI systems, including automated testing of prompts and workflows, versioning of prompts and agents, and safe rollout of model updates.
• Use AI assistance tools to accelerate development, debugging, and system design while maintaining engineering rigor and code quality.
• Collaborate with clients to identify high-value AI opportunities and define solution requirements.
• Present AI capabilities and technical solutions to both technical and non-technical stakeholders.
• Lead workshops and prototyping sessions to accelerate adoption.
• Provide guidance on responsible AI practices, ethics, and compliance.

Skills

Software engineering

AI/ML experience

Python

Production-grade AI

RAG architectures

Data processing for AI

Event-driven programming

Education

Bachelor's degree

Job description

Booz Allen Hamilton seeks an experienced Cloud Solutions Architect to design, develop, and deliver production-grade agentic AI systems that leverage prompting, RAG, and autonomous workflows. You will architect modular AI patterns, integrate cloud-hosted, local, and hybrid models, and optimize for latency, cost, observability, and safety across deployments.

In this role, you will collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class AI