Slalom
Overview
Director - AI/ML (Central Region) at Slalom. Slalom Build is looking for an entrepreneurial, progressive leader to grow and ensure the success of our Machine Learning practice in North America. The Machine Learning team designs and delivers innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, MLOps components, and other big data related technologies. As a Director, you will be accountable for the overall quality and execution of projects across Machine Learning. What You’ll Do
You will be accountable for the growth of the practice, including driving sales, recruiting, account management, consulting, and all operational aspects. Practice Building – Drive growth of the Machine Learning discipline by participating in business development, oversight of delivery work, and thought leadership. Assemble best practices and develop case studies and other core deliverables to grow solution offerings. Business Development – Build relationships with executive-level client stakeholders and expand Slalom’s client portfolio. Guide business development activities, partnering with Slalom leadership to pursue new and existing client relationships. Team & Individual Development – Lead by example to build a team of leaders and engineers, provide technical thought leadership in Machine Learning, support recruiting, onboarding of new employees, and development of leaders. Engagement Management – Handle engagement risk, project economics including planning and budgeting, define deliverable content, and ensure consensus of proposed solutions from client leadership. Cultivate a sense of community and collaboration by coordinating opportunities such as presenting at technical conferences, participating in community groups, writing blog articles, and contributing to partner-coordinated workshops. Build trust in Slalom’s brand as an AI/ML market leader through industry expertise, client success stories, and unique offerings. Advance the craft by developing and sharing ML thought leadership and vision internally and with clients. Recommend and implement architecture to deploy ML pipelines and CI/CD processes at scale for challenging engagements. Stay abreast of new tools, packages, and ML techniques to deliver the best solutions for clients. Collaborate with Product Owners to apply Slalom’s Agile processes and manage project initiation, delivery, and transition in a client-facing role. Support pre-sales conversations with clients’ technical ML staff. Collaborate with a variety of stakeholders across Slalom and client organizations to discuss project needs. Ensure the delivery of successful outcomes for staffed teams; staff, lead, and mentor ML practitioners and engineers; share learnings with the wider Slalom ML community. Be a trusted partner to clients and uphold Slalom’s values. Willingness to travel up to 50% at peak times. What You’ll Bring
Expert in cloud-based engineering, Artificial Intelligence, Machine Learning, and Agile delivery. Deep experience with leading people, including mentorship for ML Engineers and Architects. Demonstrated ability to work cross-functionally and drive growth with existing client bases; organic business development responsibilities. Ability to shape and lead a product delivery team from architecture to inception. Excellent verbal and written communication skills for audiences at all levels, including client-facing skills. Must be able to speak articulately, support teams, and communicate with clients on topics including project management and ML implementation across cloud frameworks (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI). Experience acting as a project manager and leading technical delivery teams. Experience implementing ML solutions with two or more cloud frameworks (AWS, Azure, Google Cloud). Experience deploying ML models in production and developing models using Python. Familiarity with Generative AI and foundation models (e.g., GPT-3/4, Gemini, Mixtral, Llama). Experience building computer vision models – Preferred. Ability to lead exploratory data analysis in new subject matters or data structures. Familiarity with Agile project delivery (Scrum, Kanban, SAFe, XP, Lean). Experience designing and engineering MLOps pipelines or CI/CD implementations. Two or more of the following languages: Python, SQL, Java, C#, R, JavaScript, Go, Spark. About Us
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. Our agile teams across 52 offices in 12 countries collaborate with clients to deliver powerful customer experiences, innovative ways of working, and new products and services. Compensation And Benefits
Slalom offers meaningful time off and paid holidays, parental leave, 401(k) with match, health/dental/vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer a yearly $350 reimbursement for well-being expenses and discounted home, auto, and pet insurance. For the Director position, the base pay range is $161,000 to $281,000 with potential annual discretionary bonus; actual compensation depends on skills, experience, location, and other factors. EEO and Accommodations
Slalom is an equal opportunity employer and commits to inclusion, diversity, and equity. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other protected characteristic. Qualified applications with criminal histories will be considered where permitted by law. Reasonable accommodations are available during all aspects of the selection process; please advise the talent acquisition team if accommodations are required.
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Director - AI/ML (Central Region) at Slalom. Slalom Build is looking for an entrepreneurial, progressive leader to grow and ensure the success of our Machine Learning practice in North America. The Machine Learning team designs and delivers innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, MLOps components, and other big data related technologies. As a Director, you will be accountable for the overall quality and execution of projects across Machine Learning. What You’ll Do
You will be accountable for the growth of the practice, including driving sales, recruiting, account management, consulting, and all operational aspects. Practice Building – Drive growth of the Machine Learning discipline by participating in business development, oversight of delivery work, and thought leadership. Assemble best practices and develop case studies and other core deliverables to grow solution offerings. Business Development – Build relationships with executive-level client stakeholders and expand Slalom’s client portfolio. Guide business development activities, partnering with Slalom leadership to pursue new and existing client relationships. Team & Individual Development – Lead by example to build a team of leaders and engineers, provide technical thought leadership in Machine Learning, support recruiting, onboarding of new employees, and development of leaders. Engagement Management – Handle engagement risk, project economics including planning and budgeting, define deliverable content, and ensure consensus of proposed solutions from client leadership. Cultivate a sense of community and collaboration by coordinating opportunities such as presenting at technical conferences, participating in community groups, writing blog articles, and contributing to partner-coordinated workshops. Build trust in Slalom’s brand as an AI/ML market leader through industry expertise, client success stories, and unique offerings. Advance the craft by developing and sharing ML thought leadership and vision internally and with clients. Recommend and implement architecture to deploy ML pipelines and CI/CD processes at scale for challenging engagements. Stay abreast of new tools, packages, and ML techniques to deliver the best solutions for clients. Collaborate with Product Owners to apply Slalom’s Agile processes and manage project initiation, delivery, and transition in a client-facing role. Support pre-sales conversations with clients’ technical ML staff. Collaborate with a variety of stakeholders across Slalom and client organizations to discuss project needs. Ensure the delivery of successful outcomes for staffed teams; staff, lead, and mentor ML practitioners and engineers; share learnings with the wider Slalom ML community. Be a trusted partner to clients and uphold Slalom’s values. Willingness to travel up to 50% at peak times. What You’ll Bring
Expert in cloud-based engineering, Artificial Intelligence, Machine Learning, and Agile delivery. Deep experience with leading people, including mentorship for ML Engineers and Architects. Demonstrated ability to work cross-functionally and drive growth with existing client bases; organic business development responsibilities. Ability to shape and lead a product delivery team from architecture to inception. Excellent verbal and written communication skills for audiences at all levels, including client-facing skills. Must be able to speak articulately, support teams, and communicate with clients on topics including project management and ML implementation across cloud frameworks (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI). Experience acting as a project manager and leading technical delivery teams. Experience implementing ML solutions with two or more cloud frameworks (AWS, Azure, Google Cloud). Experience deploying ML models in production and developing models using Python. Familiarity with Generative AI and foundation models (e.g., GPT-3/4, Gemini, Mixtral, Llama). Experience building computer vision models – Preferred. Ability to lead exploratory data analysis in new subject matters or data structures. Familiarity with Agile project delivery (Scrum, Kanban, SAFe, XP, Lean). Experience designing and engineering MLOps pipelines or CI/CD implementations. Two or more of the following languages: Python, SQL, Java, C#, R, JavaScript, Go, Spark. About Us
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. Our agile teams across 52 offices in 12 countries collaborate with clients to deliver powerful customer experiences, innovative ways of working, and new products and services. Compensation And Benefits
Slalom offers meaningful time off and paid holidays, parental leave, 401(k) with match, health/dental/vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer a yearly $350 reimbursement for well-being expenses and discounted home, auto, and pet insurance. For the Director position, the base pay range is $161,000 to $281,000 with potential annual discretionary bonus; actual compensation depends on skills, experience, location, and other factors. EEO and Accommodations
Slalom is an equal opportunity employer and commits to inclusion, diversity, and equity. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other protected characteristic. Qualified applications with criminal histories will be considered where permitted by law. Reasonable accommodations are available during all aspects of the selection process; please advise the talent acquisition team if accommodations are required.
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