Slalom
Overview
Join to apply for the
Director - AI/ML (Central Region)
role at
Slalom . At Slalom, we co-create modern technology and software products with clients who are ready to accelerate their digital transformation. By blending design, product engineering, analytics, and automation, we build the custom-built software and data products of tomorrow. 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 AWS, 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 bring and do will follow in the sections below. 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 – Relationship building with executive-level client stakeholders and expanding 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 and create a collaborative environment. Provide technical thought leadership in the Machine Learning space. Support recruiting, onboarding of new employees, and leadership development. Engagement Management – Manage engagement risk, project economics including planning and budgeting, clearly defining deliverables, and ensuring alignment with client leadership on proposed solutions. Foster community and collaboration by presenting at technical conferences, contributing to blogs, and coordinating partner workshops Build trust in Slalom’s AI/ML leadership by highlighting industry expertise and client success stories Develop and share Machine Learning thought leadership and vision, internally and with clients Recommend and implement architecture to deploy ML pipelines and CI/CD processes at scale Stay current with new tools and techniques to deliver best-in-class client solutions Collaborate with Product Owners to apply Slalom’s Agile processes and manage initiation, delivery, and transition of projects in a client-facing role Support pre-sales conversations with client’s ML staff Collaborate with stakeholders across Slalom and client organizations to discuss project needs Ensure successful delivery for staffed teams Staff, lead, and mentor ML practitioners and engineers Share learnings with the broader Slalom Machine Learning Community Be a trusted partner to clients and uphold Slalom’s values Willingness to travel up to 50%, at peak times Qualifications
Expert in cloud-based engineering, Artificial Intelligence, Machine Learning, and Agile delivery Deep experience with leading people, including mentorship for ML Engineers and Architects Proven ability to work cross-functionally and grow existing client relationships Ability to shape and lead a product delivery team from architecture to inception Excellent verbal and written communication skills for audiences at all levels 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 deploying ML models in production Experience developing models and data science work using Python Familiarity with Generative AI and foundation models 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 ML/Ops pipelines or CI/CD implementations Two or more programming languages from: Python, SQL, Java, C#, R, JavaScript, Go, Spark About Us
Slalom is a fiercely human technology consulting company that leads with outcomes to bring more value in all ways, always. We collaborate with clients across 52 offices in 12 countries to deliver customer experiences, new ways of working, and new products and services. Compensation And Benefits
Slalom offers meaningful time off and paid holidays, parental leave, 401(k) with a match, health/dental/vision coverage options, adoption and fertility assistance, and short/long-term disability. A yearly $350 wellness reimbursement is available, plus discounted home, auto, and pet insurance. For the Director position, the base pay range is $161,000 to $281,000 with potential annual discretionary bonuses. Final compensation depends on skills, experience, location, and other factors. EEO and Accommodations
Slalom is an equal opportunity employer committed to inclusion, diversity, and equity. All qualified applicants will be considered without regard to protected characteristics. Slalom provides reasonable accommodations during all stages of the selection process. Job Details
Seniority level: Director Employment type: Full-time Job function: Engineering and Information Technology Industries: Business Consulting and Services Referrals increase your chances of interviewing at Slalom. Get notified about new Director of Artificial Intelligence jobs in Houston, TX.
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Join to apply for the
Director - AI/ML (Central Region)
role at
Slalom . At Slalom, we co-create modern technology and software products with clients who are ready to accelerate their digital transformation. By blending design, product engineering, analytics, and automation, we build the custom-built software and data products of tomorrow. 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 AWS, 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 bring and do will follow in the sections below. 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 – Relationship building with executive-level client stakeholders and expanding 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 and create a collaborative environment. Provide technical thought leadership in the Machine Learning space. Support recruiting, onboarding of new employees, and leadership development. Engagement Management – Manage engagement risk, project economics including planning and budgeting, clearly defining deliverables, and ensuring alignment with client leadership on proposed solutions. Foster community and collaboration by presenting at technical conferences, contributing to blogs, and coordinating partner workshops Build trust in Slalom’s AI/ML leadership by highlighting industry expertise and client success stories Develop and share Machine Learning thought leadership and vision, internally and with clients Recommend and implement architecture to deploy ML pipelines and CI/CD processes at scale Stay current with new tools and techniques to deliver best-in-class client solutions Collaborate with Product Owners to apply Slalom’s Agile processes and manage initiation, delivery, and transition of projects in a client-facing role Support pre-sales conversations with client’s ML staff Collaborate with stakeholders across Slalom and client organizations to discuss project needs Ensure successful delivery for staffed teams Staff, lead, and mentor ML practitioners and engineers Share learnings with the broader Slalom Machine Learning Community Be a trusted partner to clients and uphold Slalom’s values Willingness to travel up to 50%, at peak times Qualifications
Expert in cloud-based engineering, Artificial Intelligence, Machine Learning, and Agile delivery Deep experience with leading people, including mentorship for ML Engineers and Architects Proven ability to work cross-functionally and grow existing client relationships Ability to shape and lead a product delivery team from architecture to inception Excellent verbal and written communication skills for audiences at all levels 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 deploying ML models in production Experience developing models and data science work using Python Familiarity with Generative AI and foundation models 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 ML/Ops pipelines or CI/CD implementations Two or more programming languages from: Python, SQL, Java, C#, R, JavaScript, Go, Spark About Us
Slalom is a fiercely human technology consulting company that leads with outcomes to bring more value in all ways, always. We collaborate with clients across 52 offices in 12 countries to deliver customer experiences, new ways of working, and new products and services. Compensation And Benefits
Slalom offers meaningful time off and paid holidays, parental leave, 401(k) with a match, health/dental/vision coverage options, adoption and fertility assistance, and short/long-term disability. A yearly $350 wellness reimbursement is available, plus discounted home, auto, and pet insurance. For the Director position, the base pay range is $161,000 to $281,000 with potential annual discretionary bonuses. Final compensation depends on skills, experience, location, and other factors. EEO and Accommodations
Slalom is an equal opportunity employer committed to inclusion, diversity, and equity. All qualified applicants will be considered without regard to protected characteristics. Slalom provides reasonable accommodations during all stages of the selection process. Job Details
Seniority level: Director Employment type: Full-time Job function: Engineering and Information Technology Industries: Business Consulting and Services Referrals increase your chances of interviewing at Slalom. Get notified about new Director of Artificial Intelligence jobs in Houston, TX.
#J-18808-Ljbffr