Slalom
Overview
Director - AI/ML (Central Region) at Slalom. Slalom Build is seeking an entrepreneurial, progressive leader to grow and ensure the success of the 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 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, create a collaborative environment, provide technical thought leadership in ML, support recruiting and onboarding, and develop leaders. Engagement Management – Manage engagement risk, project economics including planning and budgeting, define deliverables, and ensure consensus of proposed solutions with client leadership. Cultivate a culture of collaboration and curiosity through presenting at technical conferences, community involvement, writing articles, and contributing to partner workshops. Build trust in Slalom’s AI/ML leadership by highlighting 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 complex engagements. Stay current with new tools and techniques, continually pushing the boundaries to deliver the best client solutions. Collaborate with Product Owners to apply Slalom’s Agile processes and oversee initiation, delivery, and transition of projects in a client-facing role. Support pre-sales conversations with clients’ technical ML staff. Collaborate with 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 and project findings with Slalom’s 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 in leading people, including mentoring ML Engineers and Architects. Proven ability to work cross-functionally and drive professional growth. History of expanding client base with organic business development responsibilities. Ability to shape and lead a product delivery team from architecture to inception. Excellent verbal and written communication skills for all levels, including client-facing interactions. Must be able to speak articulately, support teams, and communicate with clients on the following topics: Experience acting as a project manager and leading technical delivery teams. Experience with ML solutions across two or more cloud frameworks (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI). Experience implementing ML models in production. Experience developing models and data science work using Python. Familiarity with Generative AI and foundation models (e.g., GPT-3/4, Gemini, Mixtral, Llama). Experience with building computer vision models (preferred). Ability to lead exploratory data analysis in new subjects 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 human-focused technology consulting company that partners with clients to move faster, dream bigger, and build better tomorrows. With 52 offices in 12 countries, we collaborate to deliver outcomes through strategy and delivery, building impactful customer experiences and new product capabilities. Compensation And Benefits
Slalom offers meaningful time off, paid holidays, parental leave, 401(k) with match, health/dental/vision coverage, adoption and fertility assistance, short/long-term disability, and wellness reimbursements. The Director base pay range is $161,000 to $281,000, with potential for an annual discretionary bonus. Actual compensation depends on skills, experience, location, and other factors. EEO and Accommodations
Slalom is an equal opportunity employer committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by law. Reasonable accommodations are available during all aspects of the selection process. Please inform the talent acquisition team if accommodations are required during the interview process.
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Director - AI/ML (Central Region) at Slalom. Slalom Build is seeking an entrepreneurial, progressive leader to grow and ensure the success of the 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 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, create a collaborative environment, provide technical thought leadership in ML, support recruiting and onboarding, and develop leaders. Engagement Management – Manage engagement risk, project economics including planning and budgeting, define deliverables, and ensure consensus of proposed solutions with client leadership. Cultivate a culture of collaboration and curiosity through presenting at technical conferences, community involvement, writing articles, and contributing to partner workshops. Build trust in Slalom’s AI/ML leadership by highlighting 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 complex engagements. Stay current with new tools and techniques, continually pushing the boundaries to deliver the best client solutions. Collaborate with Product Owners to apply Slalom’s Agile processes and oversee initiation, delivery, and transition of projects in a client-facing role. Support pre-sales conversations with clients’ technical ML staff. Collaborate with 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 and project findings with Slalom’s 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 in leading people, including mentoring ML Engineers and Architects. Proven ability to work cross-functionally and drive professional growth. History of expanding client base with organic business development responsibilities. Ability to shape and lead a product delivery team from architecture to inception. Excellent verbal and written communication skills for all levels, including client-facing interactions. Must be able to speak articulately, support teams, and communicate with clients on the following topics: Experience acting as a project manager and leading technical delivery teams. Experience with ML solutions across two or more cloud frameworks (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI). Experience implementing ML models in production. Experience developing models and data science work using Python. Familiarity with Generative AI and foundation models (e.g., GPT-3/4, Gemini, Mixtral, Llama). Experience with building computer vision models (preferred). Ability to lead exploratory data analysis in new subjects 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 human-focused technology consulting company that partners with clients to move faster, dream bigger, and build better tomorrows. With 52 offices in 12 countries, we collaborate to deliver outcomes through strategy and delivery, building impactful customer experiences and new product capabilities. Compensation And Benefits
Slalom offers meaningful time off, paid holidays, parental leave, 401(k) with match, health/dental/vision coverage, adoption and fertility assistance, short/long-term disability, and wellness reimbursements. The Director base pay range is $161,000 to $281,000, with potential for an annual discretionary bonus. Actual compensation depends on skills, experience, location, and other factors. EEO and Accommodations
Slalom is an equal opportunity employer committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by law. Reasonable accommodations are available during all aspects of the selection process. Please inform the talent acquisition team if accommodations are required during the interview process.
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