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Lead AI Engineer

Who You’ll Work WithAs a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.Slalom's Global AI capability focuses on next-level AI and Machine Learning solutions for clients. You'll join a diverse team of engineers, data scientists, and AI thought leaders. We work across modern AI platforms, develop novel AI solutions, and work with our technology partners to push their products into the future.Slalom is targeting Principal level candidates for this role.What You’ll Do• Provide presales technical leadership to customers by understanding their business challenges and architecting AI/ML solutions to address them.• Leverage expertise in Machine Learning, Deep Learning, and the latest advancements like Generative AI to build POCs and prototypes that demonstrate value to prospective clients.• Designed, built, and presented ML solutions, systems, and applications to address customer needs in areas like Computer Vision, NLP, Recommendation Systems, etc.• Stay updated on the latest advancements in AI/ML, like Diffusion Models and foundation Models, and identify opportunities to incorporate them into customer solutions.• Develop technical presentations and conduct workshops and hackathons to educate clients on AI/ML capabilities and best practices.• Work closely with account teams, solution architects, and engagement managers to drive technical sales cycles and translate complex ML solutions into business impact.• Support the creation of ML pricing, GTM, partnerships, and org strategy to accelerate AI/ML adoption across the customer base.• Contribute to growing ML community within the organization through coaching, mentoring and publishing thought leadership content.What You’ll Bring• 8+ years of experience in presales/Sales Engineering roles, architecting, building, and demonstrating AI/ML solutions.• Expertise in Machine Learning frameworks like Python, Scikit-learn, PyTorch, TensorFlow Apache Spark, and experience with Generative AI models like GANs, Transformers, and Diffusion Models.• Knowledge of MLOps best practices around model training, evaluation, deployment, and governance.• Experience integrating ML solutions with cloud platforms like AWS SageMaker, GCP Vertex AI, Azure Cognitive Services and leveraging their pre-built capabilities.• Proficiency in ML workflow tools like Kubeflow, and MLflow for experiment tracking, model management, and model serving.• Ability to identify and articulate the business value of AI/ML to stakeholders using innovative techniques like AI Readers, AI Assistants etc.• Strong communication, presentation, and storytelling skills to influence technical sales cycles with business decision-makers.• Passion for AI/ML and ability to stay updated on latest advancements through conferences, publications, cohorts etc.• Experience in consulting, sales engineering, and/or customer success.• Comfortable in evangelizing and marketing ML/AI practice with internal teams, partners, and customers alike.About UsSlalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 13,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We’re honored to be consistently recognized as a great place to work, including being one of Fortune’s 100 Best Companies to Work For seven years running. Learn more at slalom.com.Compensation And BenefitsSlalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.Slalom is committed to fair and equitable compensation practices. For this position at the Principal level the base salary pay range is $122,000 to $225,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.EEO and AccommodationsSlalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.We will accept candidates until 1/3/2025.
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What You Should Know About Lead AI Engineer, Slalom

Are you excited about the world of AI and looking for your next big challenge? At Slalom, we're on the hunt for a Lead AI Engineer to join our dynamic team in Kansas City, MO. As part of our innovative technology company, you'll be at the forefront of creating cutting-edge AI and Machine Learning solutions that tackle the most complex business problems our clients face. In this role, you'll collaborate with a diverse group of engineers, data scientists, and thought leaders, all while leveraging the latest advancements in AI, including Generative AI and Deep Learning. With 8+ years of experience under your belt, you’ll provide presales technical leadership, build compelling prototypes, and design ML solutions across exciting fields like Computer Vision and Natural Language Processing. If you have a knack for turning complex technical concepts into business advantages, then you'll thrive here. Plus, you'll get to mentor others in our growing ML community. Slalom takes pride in its fierce human approach, ensuring that every team member thrives both personally and professionally. We're a purpose-led company with meaningful benefits that support work-life balance. Join us in building better tomorrows and inspire companies to dream bigger, faster. Ready to make your mark in the AI world with Slalom? Let's chat!

Frequently Asked Questions (FAQs) for Lead AI Engineer Role at Slalom
What are the main responsibilities of the Lead AI Engineer at Slalom?

As a Lead AI Engineer at Slalom, your main responsibilities include providing presales technical leadership, architecting AI/ML solutions, building POCs, and developing ML systems. You'll be engaging with clients to understand their unique business challenges while leveraging your expertise in Machine Learning and Deep Learning to offer tailored solutions. Additionally, educating clients through presentations and workshops will be a key part of your role, alongside supporting the technical sales process by showcasing the business value of AI/ML.

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What qualifications are needed for the Lead AI Engineer role at Slalom?

Candidates for the Lead AI Engineer position at Slalom should have over 8 years of experience in presales or Sales Engineering roles, and strong knowledge of AI and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. You should also be familiar with Generative AI models and MLOps best practices. Excellent communication and storytelling abilities are essential for articulating technical solutions to business stakeholders effectively.

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What technologies will a Lead AI Engineer work with at Slalom?

A Lead AI Engineer at Slalom will work with a variety of advanced technologies. You’ll operate with platforms like AWS SageMaker, GCP Vertex AI, and Azure Cognitive Services, integrating ML solutions with cloud capabilities. You'll also utilize frameworks such as TensorFlow and PyTorch, as well as workflow tools like Kubeflow and MLflow for managing experiments and deployments, ensuring you're always on the cutting edge of the industry.

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How does Slalom support the professional growth of the Lead AI Engineer?

Slalom is deeply committed to the professional growth of its employees, including the Lead AI Engineer position. You'll have opportunities for mentorship and community involvement, as well as access to workshops and conferences to stay updated with the latest advancements in the field of AI/ML. The company also encourages publishing thought leadership content, which can enhance your visibility and expertise in the industry.

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What benefits does Slalom offer to its Lead AI Engineers?

At Slalom, Lead AI Engineers can enjoy a comprehensive benefits package that includes meaningful paid time off, parental leave, and a 401(k) plan with a company match. Health, dental, and vision coverage options are highly subsidized, and additional perks include adoption and fertility assistance. There’s also a yearly reimbursement account for well-being expenses, showcasing how Slalom prioritizes the work and life balance for all its team members.

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Common Interview Questions for Lead AI Engineer
Can you describe your experience with Machine Learning frameworks as it relates to the Lead AI Engineer role at Slalom?

In your response, detail specific frameworks you have worked with, such as TensorFlow or PyTorch, and provide examples of projects where you successfully implemented these technologies. Discuss any generative models like GANs or any specific achievements that showcase your ability to architect and build innovative AI solutions.

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How do you approach understanding a client's business challenges and tailoring an AI solution?

Elaborate on your process for engaging with clients, including conducting thorough needs assessments and outlining how you translate these challenges into actionable AI/ML strategies. Highlight your ability to communicate complex technical concepts in a way that resonates with business stakeholders.

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What strategies do you use to stay updated on the latest advancements in AI and ML?

Discuss your specific approaches, such as attending conferences, subscribing to journals, participating in online courses, or engaging with the professional community. Mention any thought leadership content you've created or consumed to illustrate your commitment to continuous learning in the fast-evolving AI landscape.

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Can you give an example of a successful ML prototype you've built?

Provide a detailed overview of a project where you developed an ML prototype, including the business problem it addressed, the technologies used, and the impact it had on the client or organization. Emphasize your problem-solving skills and technical capabilities in delivering successful outcomes.

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What is your experience with cloud platforms for deploying AI solutions?

Outline your experience with specific cloud platforms like AWS, Azure, or GCP, detailing how you’ve deployed ML models using their services. Discuss aspects such as scalability, deployment strategies, and how you managed operational challenges during deployment.

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How do you conduct workshops and hackathons to educate clients on AI capabilities?

Share your approach to designing engaging workshops or hackathons, including the topics you cover, the format you use, and how you motivate participants. Provide examples of feedback from clients or participants that highlight the effectiveness of your educational initiatives.

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Describe your experience in mentoring and coaching within an ML community.

Discuss specific instances where you’ve mentored junior engineers or facilitated knowledge-sharing within your organization. Highlight the impact your mentorship had on team development, project outcomes, or individual career growth.

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How do you handle technical sales cycles and articulate ML business value?

Describe your process for navigating technical sales cycles, including identifying decision-makers, understanding their needs, and crafting value propositions based on ML capabilities. Provide examples of past experiences where your strategies led to successful sales outcomes.

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What do you find most challenging about working with AI in a consulting environment?

Be honest about the challenges you have faced, whether they are related to client expectations, technical limitations, market changes, or other factors. Discuss how you approach overcoming these challenges and emphasize your adaptability and problem-solving skills.

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What unique qualities make you a strong candidate for the Lead AI Engineer role at Slalom?

Summarize your experiences, skills, and personal attributes that align with Slalom’s values. Emphasize your passion for AI/ML, your track record of delivering results, as well as your commitment to collaboration and mentorship within the technology community.

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DATE POSTED
December 13, 2024

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