We are seeking a highly skilled AI/ML Engineer Technology Lead to lead the design, development, and deployment of advanced Artificial Intelligence and Machine Learning solutions supporting mission-critical enterprise initiatives. This role serves as the technical lead for enterprise AI/ML efforts, responsible for building, growing, and guiding a team of AI/ML engineering and practitioners. This individual collaborates with customer technical leadership to define and realize their AI/ML roadmap and is expected to bring both deep technical expertise and the business acumen necessary to develop strategy, manage stakeholder relationships, and scale a high-performing team.

This individual will help transform AI/ML prototypes into scalable, secure, production-ready enterprise solutions while mentoring technical teams and collaborating with customer leadership.

Responsibilities - AI/ML Technical Leadership

Technical Leadership & Strategy:

• Serve as the primary point of contact (POC) for all AI/ML-related technical matters with customers and stakeholders
• Lead the design, development, testing, deployment, and productization of AI/ML technologies supporting mission-critical objectives
• Develop and communicate AI/ML strategies and technical roadmaps aligned with customer and mission requirements
• Advise leadership on emerging AI/ML technologies, research areas, and industry advancements
• Represent AI/ML capabilities during customer engagements, briefings, demonstrations, and technical reviews
• Provide technical leadership, mentorship, and guidance to AI/ML engineering teams
• Support workforce planning, staffing strategy, hiring, and professional development initiatives

AI/ML Engineering & Development:

• Design, develop, and optimize scalable machine learning and deep learning models for structured and unstructured data
• Transform research prototypes into secure, scalable, production-ready enterprise solutions
• Support NLP, predictive analytics, anomaly detection, computer vision, and generative AI initiatives
• Evaluate and productize AI/ML models across commercial and government cloud architectures
• Integrate AI/ML solutions across enterprise systems, data platforms, and operational environments
• Ensure AI/ML solutions meet performance, scalability, reliability, and operational requirements

Cloud, MLOps & Enterprise Integration:

• Develop production-grade AI/ML pipelines, CI/CD workflows, and MLOps capabilities
• Provide system integration oversight across AI/ML pipelines and enterprise platforms
• Collaborate with software engineers, cloud architects, cybersecurity teams, and customer stakeholders
• Support deployment and optimization of AI/ML solutions across cloud-native and distributed environments
• Evaluate emerging technologies and align technical solutions with operational and enterprise objectives

• Experience with cloud platforms including AWS, Azure, or Google Cloud Platform
• Experience with ML Ops, CI/CD pipelines, Docker, Kubernetes, and distributed systems
• Strong understanding of data pipelines, model lifecycle management, and scalable AI architectures
• Experience operating within Agile or DevSecOps environments
• Excellent communication and stakeholder engagement skills

Preferred Qualifications:

• Experience supporting Intelligence Community (IC), Department of Veterans Affairs (VA), DoD, or federal government programs
• Experience with Large Language Models (LLMs), Generative AI, RAG architectures, and vector databases
• Familiarity with AI governance, explainable AI (XAI), and responsible AI practices
• Experience with Spark, Kafka, Hadoop, or GPU-enabled distributed computing platforms
• Active/current TS/SCI security clearance (Nice to have)