Description and Requirements

Job Description

Who You'll Work With

As a Senior Principal in Intelligence Engineering, you will define, design, and lead the delivery of enterprise-scale AI/ML and agentic AI solutions, shaping how intelligent systems are built, deployed, and scaled across organizations. You will operate at the intersection of strategy and execution-guiding architectural direction while remaining hands-on in building critical components. You'll partner with clients to move from early experimentation to production-grade intelligent systems, establishing patterns for scalability, reliability, and governance, while helping shape Slalom's broader AI strategy and capabilities.

We offer a flexible working environment to balance the need to work independently, with some days that may require in-person collaboration at our office.

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 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 and create a passionate, team-player environment. Provide technical thought leadership in the Machine Learning space. Support recruiting, on-boarding of new employees, and the development of leaders.
  • Engagement Management - Handle engagement risk, project economics including planning and budgeting, carefully defining deliverable content, and ensuring consensus of proposed solutions from top management levels at the client.
• Cultivate a sense of community and encourage a culture of collaboration and curiosity by taking part in and coordinating opportunities, such as presenting at technical conferences, community groups, writing blog articles, and contributing to partner-coordinated workshops
• Build trust in Slalom's brand as an AI and Machine Learning market leader, highlighting industry and technical expertise, client success stories, and unique offerings in the market
• Advance the craft by developing and sharing Machine Learning thought leadership and vision, internally and to clients.
• Recommend and implement architecture to deploy machine leaning pipelines and CI/CD processes at scale for some of our most challenging engagements
• Stay abreast of new tools, packages, and Machine Learning techniques, while consistently pushing the limit of what is possible to deliver the best solutions for clients
• Collaborate with Product Owners to apply Slalom's Agile processes and be responsible for the initiation, delivery, and transition of projects for your team in a client-facing role
• Support pre-sales conversations with client's most technical Machine Learning staff
• Collaborate with a variety of stakeholders across the Slalom organization and our clients to discuss their project needs
• Support pre-sales conversations with client's most technical Machine Learning staff
• Ensure the delivery of successful outcomes for staffed teams
• Staff, lead, and mentor machine learning practitioners and engineers
• Share learnings and project findings with the wider Slalom Machine Learning 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 technical and professional mentorship for ML Engineers and Architects
• Demonstrated professional growth and the proven ability to work cross-functionally
• Shown history of leveraging and growing existing client base; organic business development responsibilities, i.e. growing new account/clients from the ground up
• Ability to shape and lead a product delivery team from architecture to inception
• Excellent verbal and written communication skills to audiences of all levels including client facing skills

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 project delivery teams
• Experience with implementing ML solutions with two, or more, cloud frameworks (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI)
• Experience implementing machine learning models in production
• Experience developing models and other data science work utilizing Python
• Familiarity, or strong desire to work with and gain an understanding of Generative AI, such as working with foundation models (GPT-3/4, Gemini, Mixtral, Llama, etc.)
• Experience with building computer vision models - Preferred
• Ability to lead exploratory data analysis within new subject matters or new data structures
• Familiarity with Agile project delivery (Scrum, Kanban, SAFe, XP, and Lean)
• Experience with designing and engineering MLOps pipelines or CI/CD implementations
• Two or more of the following other languages: Python, SQL, Java, C#, R, JavaScript, Go, Spark

Compensation and Benefits

Slalom 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 role, we the targeted base range is $213,000 to $266,000. 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.

We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: [redacted]. Please note, this recipient is not able to support recruitment inquiries beyond this purpose.