We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Manager of AI Engineering is responsible for establishing and leading the organization's AI engineering capabilities, driving the design, development, and operationalization of enterprise-scale AI and Generative AI solutions. This leader combines deep technical expertise with strong people leadership to build high-performing engineering teams, define architectural standards, and accelerate the delivery of secure, scalable, and compliant AI platforms. The ideal candidate is an experienced technical leader who remains hands-on with modern AI technologies, cloud-native architectures, agentic frameworks, and production AI systems. This individual will serve as the organization's technical authority for AI engineering, partnering with business and technology leaders to transform strategic opportunities into measurable business outcomes. Primary Job Duties & Responsibilities Organizational & Technical Leadership Build, lead, mentor, and develop a high-performing team of AI and software engineers while fostering a culture of innovation, accountability, and continuous learning. Establish the technical vision, engineering standards, and architectural roadmap for enterprise AI platforms and solutions. Serve as the senior technical leader for AI initiatives, providin
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Role overview
Job description
Who we are Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business cons
…What they are looking for
Skills & requirements
Qualification
Education & experience required A Master’s degree in machine learning, mathematics, computer science, or related fields 2+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus) Strong experience and knowledge of data processing, data modeling, algorithms, and data architecture Experience leading a technical project in a business context Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact What we are looking for A Doer: you get things done and inspire your teams to do the same An Analyst: you LOVE data and think every company should take their decisions with facts A Pragmatist: you have a hacker mindset and always find the quick wins A Mentor: your clients and teams naturally seek for advice An Adventurer: you’re an entrepreneur constantly looking for problems to solve Why you should join us Artefact is the place to be: come and build the future of marketing Progress: every day offers new challenges and new opportunities to learn Culture: join the best
Department · Data Science
Hiring company
Artefact
Global data and AI consulting company. From strategy to deployment: AI solutions by industry, data platforms, governance, analytics and data marketing.
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