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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** The U.S. Pharmacopeial Convention (USP) - **Location:** Rockville, MD, United States - **Experience:** Expert - **Salary:** $100,042.0 - $142,560.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Systems, Custom Software, Information Engineering, IT Management, Python (Programming Language), Machine Learning, Rapid Prototyping Process, Salesforce.Com, Search Technologies, Software Engineering, Pega, Data Processing, Large Language Models, Prompt Engineering, Containerization, Information Technology, HuggingFace, Enterprise Integration, Machine Learning Operations, Oracle Ebusiness, Restful APIs, Webhooks, GPT, Software Version Control, GXP, Docker - **Published:** July 31, 2026 - **Apply:** https://dejobs.org/x/x/CC05E639709B4AF08BA298ED6D6876FB/job/ ## About the Role We are seeking a high-energy, Senior AI Engineer focused on rapid prototyping of AI applications across the enterprise. Working as an independent contributor, you'll partner with our digital teams and enterprise platform teams - Oracle EBS ERP, Salesforce, Data Engineering, Cloud Commerce, Custom Applications, and Pega BPM - to identify high-value AI opportunities and turn them into working prototypes that demonstrate business impact., The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: * 6+ years of software engineering experience, with 2+ years building applied AI/ML solutions (LLM apps, RAG, agents, or classical ML in production or advanced prototypes), or equivalent experience. * Strong Python; hands-on with modern AI frameworks (LangChain, LlamaIndex, Hugging Face, or equivalent). * Direct experience with LLM APIs (Claude, GPT, Gemini, or similar), prompt engineering, and evaluation techniques. * Experience building RAG pipelines with vector databases (pgvector, Pinecone, Weaviate, Azure AI Search, etc.). * Comfort integrating with enterprise systems via REST APIs, webhooks, and event-driven patterns. * Cloud proficiency - AWS or Azure preferred; containerization (Docker) familiarity. * Ability to work independently - scoping ambiguous problems, choosing tools, shipping working software without a dedicated team around you. * Excellent communication - able to explain AI capabilities and limitations to non-technical stakeholders and translate business problems into AI approaches. * Education: Bachelor's degree in Computer Science, Information Systems, or a related field. Additional Desired Preferences * Experience prototyping AI in regulated industries (pharma, healthcare, life sciences, standards bodies). * Experience with agentic frameworks, tool use, and orchestration (LangGraph, CrewAI, Claude Agent SDK, etc.). * Knowledge of MLOps practices - evaluation pipelines, model versioning, observability. * Awareness of 21 CFR Part 11, HIPAA, GxP, or comparable compliance frameworks. ## Description This is a hands-on builder role for someone who thrives on breadth: one week you might prototype an intelligent document extractor for ERP invoice processing, the next a RAG-based knowledge assistant for customer service in Salesforce, and the next an agentic workflow inside Pega. You bring the AI expertise; the platform teams bring the domain and integration knowledge., * Partner with digital and enterprise platform teams (EBS, Salesforce, Data Eng, Cloud Commerce, Custom Apps, Pega) to identify pain points AI can address; jointly scope proofs-of-concept. * Demonstrate business value through working prototypes, evaluations, and demos to IT leadership and business stakeholders - with clear metrics on quality, cost, and effort saved. * Recommend production paths - advise which prototypes are ready to hand off to platform teams for productionization, what infrastructure/guardrails they'll need, and where USP should invest. * Establish AI patterns and reusable components - prompt libraries, evaluation harnesses, connector patterns - so successful prototypes accelerate. * Champion responsible AI - apply USP's AI Policy, ensure privacy/compliance considerations (21 CFR Part 11, HIPAA where relevant, data handling standards) are addressed from the prototype stage. * Stay ahead of the field - evaluate emerging models, frameworks, and vendors; make informed recommendations aligned with USP's approved tech stack. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)