Principal AI Data Scientist

Deltek; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Deltek seeks an experienced AI Data Scientist to join its AI Center of Excellence. You will design, build, evaluate, and optimize enterprise AI solutions leveraging LLMs, RAG, and agentic systems to drive business impact.

You will develop intelligent AI applications, assess model performance, and collaborate with engineering teams to deploy AI-powered solutions at scale while upholding governance and responsible AI principles.

Qualifications

• Bachelor's degree in Computer Science, AI, ML, Engineering, or related field (or equivalent).
• 5+ years of hands-on AI/ML solution development.
• 3+ years in Agentic AI, Generative AI and LLMs.
• Strong Python proficiency and modern AI frameworks usage.
• Experience delivering AI solutions in enterprise environments.

Responsibilities

• Design, build, and optimize enterprise AI solutions using LLMs, RAG, and agents.
• Develop AI copilots, assistants, and agentic workflows integrated with enterprise apps.
• Evaluate model performance and implement governance, safety, and observability.
• Collaborate with engineering and product teams to deploy AI into production.

Skills

Agentic AI

Generative AI

Large Language Models

AI copilots

RAG solutions

Python

AI frameworks

Enterprise integration

Stakeholder engagement

Communication skills

Education

Bachelor's degree in CS/AI/ML/Engineering

Tools

PyTorch

TensorFlow

Job description

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) & SLMs
• Develop 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 architectures
• 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 optimization
• 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 applications
• Stay current with advancements in Generative AI, foundation models, open-source AI, and agentic systems
• Evaluate emerging AI technologies and recommend adoption opportunities

Required Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field
• 5+ years of experience developing AI/ML solutions
• 3+ years of hands-on experience with Agentic AI, Generative AI and Large Language Models
• Strong experience building AI copilots, AI Assistants, RAG solutions, or AI Agents
• Proficiency in Python and modern AI frameworks
• Experience integrating AI solutions into enterprise environments
• Strong communication and stakeholder engagement skills