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1–2 jobs· newest first

Cloud Solutions Architect
Booz Allen Hamilton · Fayetteville, US
$99K–$225KFull-time
Cloud Solutions Architect
Booz Allen Hamilton · Fayetteville, US
$99K–$225KFull-time

+10K new in the last hour

Cloud Solutions Architect

Booz Allen Hamilton · Posted Nov 6, 2026

Fayetteville, North Carolina, United States
Full-time
$99K–$225K per year
2+ years

Apply with RefersoAI

Apply on careers page

Design, develop, and deliver production-grade agentic AI systems and cloud solutions for Booz Allen Hamilton clients.

Compensation

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).

Responsibilities

Design adaptable AI architectures supporting multiple model providers
Integrate LLMs, embeddings, RAG pipelines, and structured outputs into production-ready systems
Develop data pipelines for ingestion, cleaning, chunking, embedding, indexing, and continuous refresh
Incorporate guardrails, safety filters, access controls, and monitoring mechanisms
Deploy AI services securely and at scale on AWS or equivalent cloud platforms

Requirements

Bachelor’s degree
Nice to have: agent frameworks
Nice to have: interoperability standards
Nice to have: multi-agent patterns
Nice to have: MCP

Skills

Python RAG architectures LLMs AWS CI/CD evaluation methodologies asynchronous programming event-driven programming structured prompting tool use workflow orchestration multi-modal reasoning React

Benefits

health
life
disability
financial
retirement

See full job description

Cloud Solutions Architect

Booz Allen Hamilton · Posted Nov 6, 2026

Fayetteville, North Carolina, United States
Full-time
$99K–$225K per year
2+ years

Apply with RefersoAI Apply on careers page

Design, develop, and deliver production-grade agentic AI systems leveraging LLMs, RAG, and cloud platforms.

Compensation

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).

Responsibilities

Design adaptable AI architectures supporting multiple model providers
Integrate LLMs, embeddings, RAG pipelines, structured outputs, and long-context mechanisms
Develop data pipelines for ingestion, cleaning, chunking, embedding, indexing, and continuous refresh
Incorporate guardrails, safety filters, access controls, and monitoring mechanisms
Deploy AI services securely and at scale on AWS or equivalent cloud platforms

Requirements

Bachelor’s degree
Nice to have: agent frameworks
Nice to have: interoperability standards
Nice to have: multi-agent patterns
Nice to have: MCP

Skills

Python LLM RAG AWS CI/CD evaluation

workflow orchestration

multi-modal reasoning

access controls

Benefits

Health
Life
Disability
Financial
Retirement

See full job description