AI/ML Application Engineer

General Dynamics Information Technology

83d • $140,250 - $189,750

About The Position

AI ENGINEER SENIOR Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As an AI Engineer Senior, you’ll see the bigger picture on mission initiatives and where your program management career can go at GDIT. MEANINGFUL WORK AND PERSONAL IMPACT As an AI Engineer Senior, the work you’ll do at GDIT will be impactful to the mission of GSA. We are seeking a highly skilled and motivated Senior AI Application Engineer with a proven track record in designing and implementing production-grade AI applications, with a strong emphasis on Generative AI solutions. The ideal candidate will have extensive hands-on experience building and deploying LLM-powered applications using Databricks GenAI capabilities, modern AI frameworks, and AWS AI services. You will work collaboratively with cross-functional teams to architect, design, and deploy innovative GenAI applications that drive business value and transform user experiences. Additionally, you will play a key role in mentoring team members and establishing best practices for responsible AI application development.

Requirements

• Bachelor of Arts/Bachelor of Science degree.
• 5+ years of related experience as an AI/ML Engineer or Software Engineer with focus on AI applications.
• 2+ years of hands-on experience building production applications with Generative AI and Large Language Models.
• 2+ years of demonstrable experience with Databricks platform, specifically Databricks GenAI capabilities.
• 5+ years of strong proficiency in Python programming with experience in AI application frameworks.
• 3+ years of experience with AWS AI services, particularly Bedrock.
• Proven experience implementing RAG architectures, vector databases, and semantic search capabilities.
• Strong understanding of prompt engineering, few-shot learning, and LLM optimization techniques.
• Excellent problem-solving skills and ability to architect complex AI application solutions.
• Strong communication skills to explain AI capabilities and limitations to technical and non-technical stakeholders.
• Experience working in Agile environments with cross-functional teams.

Nice To Haves

• Experience with multiple LLM providers and model orchestration platforms.
• Familiarity with fine-tuning techniques for LLMs including PEFT, LoRA, and instruction tuning.
• Knowledge of vector databases and embedding models.
• Experience with conversational AI, chatbot frameworks, and dialogue management.
• Experience with API development and building scalable application backends.
• Proficiency with containerization for AI application deployment.
• Understanding of AI evaluation frameworks and metrics.
• Experience with streaming responses, token management, and cost optimization strategies.
• Familiarity with Unity Catalog for AI asset governance and lineage tracking.
• Knowledge of computer vision or multimodal AI applications.
• Experience with frontend frameworks for building AI-powered user interfaces.
• Contributions to open-source AI projects or published research in AI/ML.

Responsibilities

• Design and implement production-grade AI applications with a focus on Generative AI solutions.
• Build and deploy LLM-powered applications using Databricks GenAI capabilities.
• Collaborate with cross-functional teams to architect and deploy innovative GenAI applications.
• Mentor team members and establish best practices for responsible AI application development.

Benefits

• Comprehensive benefits and wellness packages.
• 401K with company match.
• Competitive pay and paid time off.
• Full flex work weeks where possible.
• Variety of paid time off plans including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
• Short and long-term disability benefits.
• Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees