Principal AIML Engineering Leader

Turn2Partners; United States; Hybrid; USD 225,000 - 250,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Retirement plan

Generous paid time off

Professional development support

Job summary

Turn2Partners is seeking an experienced engineering leader to drive the design, development, and deployment of advanced AI/ML solutions for mission-focused programs. You will lead architecture and productionization across the AI lifecycle, partnering with engineering, product, data, and customer stakeholders to deliver scalable, secure cloud-based systems.

Qualified candidates have 8+ years in software/ML roles, a Master's degree or higher, strong Python skills, API design experience, and

Qualifications

• Master's degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical discipline preferred.
• 8+ years of experience in software engineering, machine learning, or artificial intelligence.
• Experience building and deploying production machine learning solutions.
• Strong programming skills in Python and experience with modern ML frameworks.
• Experience designing APIs, distributed applications, and cloud-native software.
• Familiarity with Kubernetes, containerization, CI/CD, and modern software delivery practices.
• Strong communication skills with experience leading cross-functional engineering initiatives.
• Demonstrated ability to mentor technical teams and influence engineering direction.

Responsibilities

• Lead the architecture and delivery of enterprise AI and machine learning solutions.
• Design scalable machine learning pipelines from data preparation through production deployment.
• Guide the development and operationalization of modern AI capabilities, including generative AI and intelligent automation.
• Collaborate with software, infrastructure, and platform engineering teams to deploy secure, cloud-based solutions.
• Establish technical standards, engineering best practices, and architectural direction across AI initiatives.
• Mentor engineers and provide technical leadership across multiple development teams.
• Partner directly with customers and stakeholders to translate operational requirements into technical solutions.
• Improve system reliability, scalability, performance, and observability across production environments.
• Contribute to long-term technology strategy and AI roadmap planning.
• Support research, evaluation, and adoption of emerging artificial intelligence technologies.

Skills

Leadership

Python

AI/ML

APIs design

Cloud-native

Kubernetes

CI/CD

Cross-functional communication

Mentoring

Education

Master's degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or related technical discipline

Job description

Overview

Our client is seeking an experienced engineering leader to drive the design, development, and deployment of advanced AI and machine learning solutions supporting complex, mission-focused programs.

This individual will provide technical leadership across the full AI/ML lifecycle while partnering with engineering, product, data, and customer stakeholders to build scalable, secure, and production-ready systems.

Location

Location: Hybrid in the Northern Virginia/Washington, DC metro area

Compensation

Compensation: $225,000–$250,000

Clearance

Clearance: Active Secret Clearance required

Responsibilities

• Lead the architecture and delivery of enterprise AI and machine learning solutions.
• Design scalable machine learning pipelines from data preparation through production deployment.
• Guide the development and operationalization of modern AI capabilities, including generative AI and intelligent automation.
• Collaborate with software, infrastructure, and platform engineering teams to deploy secure, cloud-based solutions.
• Establish technical standards, engineering best practices, and architectural direction across AI initiatives.
• Mentor engineers and provide technical leadership across multiple development teams.
• Partner directly with customers and stakeholders to translate operational requirements into technical solutions.
• Improve system reliability, scalability, performance, and observability across production environments.
• Contribute to long-term technology strategy and AI roadmap planning.
• Support research, evaluation, and adoption of emerging artificial intelligence technologies.

Qualifications

• Master's degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical discipline preferred.
• 8+ years of experience in software engineering, machine learning, or artificial intelligence.
• Experience building and deploying production machine learning solutions.
• Strong programming skills in Python and experience with modern ML frameworks.
• Experience designing APIs, distributed applications, and cloud-native software.
• Familiarity with Kubernetes, containerization, CI/CD, and modern software delivery practices.
• Strong communication skills with experience leading cross-functional engineering initiatives.
• Demonstrated ability to mentor technical teams and influence engineering direction.

Preferred Experience

• Experience with large language models, retrieval-augmented AI, or intelligent automation platforms.
• Knowledge of MLOps, model lifecycle management, and production monitoring.
• Experience developing secure AI solutions within regulated or government environments.
• Familiarity with streaming data architectures and distributed systems.
• Contributions to open-source software, technical publications, or research initiatives are a plus.

Security Requirements

• Active Secret security clearance required.
• Ability to obtain additional clearance if required by future program needs.

What You'll Find

• Opportunity to lead high-impact AI initiatives.
• Collaborative engineering culture with significant technical ownership.
• Challenging, mission-focused work utilizing modern technologies.
• Competitive compensation, comprehensive benefits, retirement plan, generous paid time off, and professional development support.