Director AI/ML Engineering

Full-time

Richmond, VA

Kforce has a client that is seeking a Director AI/ML Engineering in Richmond, VA. Responsibilities:

Develop and execute the organization's AI, machine learning, and intelligent automation strategy
Lead the design, delivery, and optimization of AI-powered products, services, and business solutions
Drive adoption of generative AI, intelligent automation, and advanced analytics capabilities across the enterprise
Build and maintain scalable AI/ML platforms, engineering frameworks, and operational processes
Establish governance, security, compliance, and responsible AI practices for AI solutions
Partner with product, engineering, data, and business leaders to define priorities and deliver measurable business outcomes
Lead AI platform integration efforts across customer-facing and internal business systems
Develop and oversee AI engineering roadmaps, budgets, performance metrics, and delivery objectives
Champion engineering best practices, including Agile development, testing, automation, and continuous improvement
Manage and mentor high-performing engineering teams, fostering innovation, collaboration, and professional growth
Evaluate emerging AI technologies and identify opportunities to enhance customer experiences, employee productivity, and operational efficiency
Ensure reliability, scalability, performance, and monitoring standards are maintained across AI solutions
Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or a related field
10+ years of experience in AI, machine learning, data science, software engineering, or related technical disciplines
5+ years of experience leading and developing technical teams
Proven experience delivering AI, machine learning, automation, or advanced analytics solutions in production environments
Experience with generative AI technologies, large language models, and AI-powered application development
Experience implementing modern software development practices, including Agile and DevOps methodologies
Strong understanding of machine learning engineering, AI platforms, data pipelines, and model operations
Strong leadership, stakeholder management, and cross-functional collaboration skills
Excellent communication skills with the ability to explain complex technical concepts to technical and non-technical audiences
Demonstrated success driving innovation, strategic initiatives, and large-scale technology programs

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Vacancy posted 4 days ago

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