The Role
Leads enterprise AI and machine learning initiatives from strategy through responsible deployment. Manages AI teams, translates business goals into technical requirements, oversees model lifecycles and MLOps, and coordinates governance, validation, bias testing, privacy compliance, and performance monitoring. Partners with technical and business stakeholders while managing complex projects, mentoring staff, and communicating AI concepts to executives, product teams, and clients.
Summary Generated by Built In
We are looking for an experienced AI Manager to lead our artificial intelligence initiatives from strategic framing to scalable, responsible deployment. In this role, you will oversee a team of AI engineers, Business Analysts or operations specialists. You will translate high-level business goals into technical requirements, manage model lifecycles, and ensure our AI systems deliver measurable impact with strong ethical and regulatory compliance.
Key Responsibilities
• Strategic Leadership: Define the roadmap, scope, and objectives for enterprise AI and machine learning initiatives.
• Cross-Functional Collaboration: Serve as the primary bridge between technical teams (data science, MLOps, software engineering) and non-technical business stakeholders.
• Team Management: Hire, mentor, and manage a team of AI/ML specialists, providing coaching, performance management, and career development.
• Model Lifecycle & Operations: Oversee the operational lifecycle of AI models from deployment to monitoring, data drift tracking, and retirement.
• Governance & Compliance: Coordinate risk assessments, model validation, bias testing, and data privacy compliance.
• Performance Metrics: Track operational metrics including latency, model availability, accuracy, and business ROI.
• Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related technical field.
• Technical Literacy: Deep understanding of AI/ML architectures, machine learning lifecycles (MLOps), and modern frameworks (e.g., PyTorch, TensorFlow, LangChain, or cloud AI services on AWS, GCP, or Azure).
• Project Management: Proven track record of delivering complex technical projects on time and within budget using Agile or traditional project management methodologies.
• Communication Skills: Exceptional ability to explain complex algorithmic concepts clearly to executive leadership, product teams, and clients.
• Experience: 5+ years of experience in data science, machine learning, or AI engineering, with at least 2+ years in a leadership or management capacity. Microsoft Open AI experience.
RequirementsRequired Skills
Skill Type
Skill Name
CertificationEducationLicenseOtherSkill
2+ years of leading and managing AI teams
CertificationEducationLicenseOtherSkill
Governance & Compliance: Coordinate risk assessments, model validation, bias testing, and data privacy compliance.
Skill Type
Skill Name
CertificationEducationLicenseOtherSkill
Open AI experience
Skills Required
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related technical field
- Deep understanding of AI/ML architectures and machine learning lifecycles, including MLOps
- Experience with modern AI/ML frameworks or cloud AI services, such as PyTorch, TensorFlow, LangChain, AWS, GCP, or Azure
- Proven track record delivering complex technical projects on time and within budget
- Experience using Agile or traditional project management methodologies
- Exceptional communication skills for explaining complex algorithmic concepts to executives, product teams, and clients
- 5+ years of experience in data science, machine learning, or AI engineering
- 2+ years of experience leading or managing AI teams
- Governance and compliance experience, including risk assessments, model validation, bias testing, and data privacy compliance
- Microsoft OpenAI experience
- OpenAI experience
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The Company
What We Do
Novalink Solutions LLC is a global consulting, engineering, and AI product development company specializing in information technology and telecommunications. They provide AI-powered products, automation platforms, intelligent workflow systems, IT consulting, managed engineering, and staff augmentation services.
