Manager of Artificial Intelligence

Job Description

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K2 Partnering Solutions provides specialized technology services, focusing on enterprise software consulting, recruitment, and training. We connect businesses with experts in SAP, Salesforce, ServiceNow, and AI, providing end-to-end consulting, implementation, and managed services to support digital transformation projects globally.

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We are currently seeking an AI Engineering Manager. This is a remote position with travel required. This full time position offers competitive salary, full benefits (medical, dental, and vision), 401k with company match, and more!

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Responsibilities:

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• End-to-end design and development of AI/ML solutions, leveraging cloud AI services (Microsoft Azure, AWS, Google Cloud)

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• Define solution architectures that integrate LLMs, generative AI, and traditional ML with enterprise platforms

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• 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

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• 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

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• Collaborate with strategic alliance partners (Microsoft, Google, AWS, Salesforce) to incorporate the latest ecosystem innovations into client engagements

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• Stay current with emerging AI/ML technologies, frameworks, and tools, and evaluate their applicability for client needs

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Qualifications:

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• 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

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• 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; Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus

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• 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)

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• 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

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• 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

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• 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

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• Willingness and ability to travel

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• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; the company will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

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