Manager of Artificial Intelligence

K2 Partnering Solutions; United States; On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Full benefits package

401k with company match

Remote position

Job summary

K2 Partnering Solutions is seeking an AI Engineering Manager for a remote role with travel. You will lead end-to-end AI/ML initiatives, architect solutions integrating LLMs with enterprise systems, and manage delivery with client-facing leadership.

Strong cloud experience and Python proficiency are required. The role emphasizes collaboration with major cloud providers, mentoring junior staff, and delivering scalable, secure AI solutions for enterprise clients.

Qualifications

• Minimum five years of AI/ML, data engineering, or cloud solution engineering experience.
• Bachelor’s degree required; Master’s degree preferred.
• Cloud AI/ML platform certifications are a plus.
• Track record delivering AI/ML solutions at enterprise scale with client relationships.
• Hands-on experience with two major cloud AI platforms.
• Proficiency in Python with API development, microservices, containers, and CI/CD.
• Experience in building conversational AI/chatbots or generative AI use cases.
• Willingness to travel; authorized to work in the U.S. without visa sponsorship.

Responsibilities

• End-to-end design and development of AI/ML solutions using cloud AI services.
• Define architectures that integrate LLMs, generative AI, and traditional ML with enterprise platforms.
• Manage AI projects including architecture, model development, integration, testing, and ensure compliance and scalability; partner with clients to translate objectives into solutions.
• Lead workshops with executives and stakeholders to shape AI roadmaps and manage timelines and risks; mentor engineers.
• Collaborate with partners (Microsoft, Google, AWS, Salesforce) to incorporate ecosystem innovations.
• Stay current with AI/ML technologies and evaluate applicability for client needs.

Skills

Python

API development

Microservices

CI/CD pipelines

MLOps frameworks

Communication skills

Executive stakeholder management

Education

Bachelor’s degree in computer science, data science, engineering, or related field

Master’s degree preferred

Tools

Azure AI/ML

AWS Bedrock/SageMaker

Google Cloud Vertex AI

Job description

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.

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!

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

Qualifications:

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