Principal AI Data Scientist

We are seeking an experienced AI Data Scientist to join Deltek’s growing AI Center of Excellence team to design, build, evaluate, and optimize enterprise AI solutions leveraging Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), multimodal AI, Opensource AI Models, and emerging foundation model technologies. This role is focused exclusively on AI innovation and implementation rather than traditional analytics or reporting. The ideal candidate will develop intelligent AI systems, evaluate model performance, architect agentic workflows, and drive adoption of AI-powered business solutions. Generative AI Solution Development Design, develop, and deploy enterprise-grade Generative AI solutions Build AI applications leveraging Large Language Models (LLMs) & SLMsDevelop Retrieval-Augmented Generation (RAG) architectures Implement conversational AI, AI copilots, and intelligent assistants Develop multimodal AI solutions involving text, image, audio, and document understanding Agentic AI & Autonomous Systems Design and develop AI Agents capable of complex reasoning and task execution Build multi-agent frameworks and agent orchestration solutions Develop autonomous workflows integrating enterprise systems and business processes Implement tool-calling, function-calling, and agent memory architecturesAI Model Evaluation & Optimization Establish evaluation frameworks for AI solutions Design benchmarks for quality, accuracy, groundedness, hallucination detection, and safety Evaluate and compare foundation models for business use cases Improve AI system performance through prompt tuning, fine-tuning, and model optimizationAI Engineering & Deployment Collaborate with engineering teams to deploy AI solutions into production environments Build scalable AI pipelines and inference architectures Support integration of AI services with enterprise applications and workflows Partner with platform teams to optimize AI costs, latency, scalability, and performance Implement AI observability, monitoring, and governance controls Responsible AI & Governance Ensure Responsible AI principles are embedded throughout the AI lifecycle Evaluate solutions for bias, fairness, security, and compliance Support AI governance policies, risk assessments, and model validation processes Develop safeguards and guardrails for enterprise AI applicationsAI Innovation & Research Stay current with advancements in Generative AI, foundation models, open-source AI, and agentic systems Evaluate emerging AI technologies and recommend adoption opportunities