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Agentic AI Engineer - Booz Allen Hamilton
AI Engineer
Lead the design and deployment of autonomous, goal‑oriented AI systems, transitioning from passive LLM chatbots to proactive, multi‑agent orchestrations using Python, ML, and advanced LLM techniques.
About the role
Key Responsibilities
- Architect and implement autonomous, goal‑oriented AI agents that coordinate across multiple LLMs to achieve complex business objectives.
- Design and maintain scalable pipelines for data ingestion, model training, and real‑time inference in cloud environments.
- Collaborate with cross‑functional teams to translate business requirements into agentic AI solutions and evaluate performance metrics.
- Integrate advanced LLMs with custom reasoning modules, ensuring robust safety, compliance, and explainability.
- Continuously iterate on agent behaviors, leveraging reinforcement learning and human‑in‑the‑loop feedback loops.
Requirements
- Strong proficiency in Python and experience building production‑grade ML pipelines.
- Deep knowledge of large language models, prompt engineering, and multi‑agent orchestration.
- Hands‑on experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
- Effective communication skills for translating technical concepts to non‑technical stakeholders.
Skills
pythonmachine learning