Manager, AI Engineer

Responsibilities

• End-to-end design and development of AI/ML solutions, leveraging cloud AI services (Microsoft Azure, AWS, Google Cloud)
• Define solution architectures that integrate LLMs, generative AI, and traditional ML with enterprise platforms
• Manage AI projects including architecture design, model development, integration, and testing, and ensure projects follow best practices in MLOps, security, compliance, and scalability to support enterprise-grade adoption
• Partner directly with clients to translate business objectives into technical solutions, aligning with enterprise strategy and measurable outcomes
• Lead workshops and design sessions with executives, business stakeholders, and technical teams to shape AI roadmaps
• Oversee deliverable quality and timelines, while proactively managing risks and dependencies
• Mentor and coach junior engineers and consultants, fostering a culture of innovation, technical excellence, and continuous learning
• Collaborate with strategic alliance partners (Microsoft, Google, AWS, Salesforce) to incorporate the latest ecosystem innovations into client engagements
• Stay current with emerging AI/ML technologies, frameworks, and tools, and evaluate their applicability for client needs

Requirements

• Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
• Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
• Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
• Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
• Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
• Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
• Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
• Knowledge of AI security, data privacy, governance, and ethical AI frameworks
• Strong problem-solving skills with the ability to translate complex technical concepts for executives
• Excellent verbal and written communication skills, with experience creating client-facing deliverables

Qualifications

• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future