Machine Learning Principal Solutions Architect
phData
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
Job Level
About the role
- Architect end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with customer requirements and goals
- Lead a team of machine learning engineers and data scientists to build AI/ML platforms, pipelines, and products that meet customer requirements and expectations
- Communicate business value and ROI of AI/ML solutions to both technical and non-technical stakeholders
- Mentor team members on best practices in AI/ML architecture, modeling, and technology.
- Stay abreast of emerging technologies and methodologies in AI/ML to inform solution design and delivery.
- Build relationships with client stakeholders to understand their long-term AI/ML goals and design roadmaps that align with business objectives.
- Craft persuasive technical approaches and value propositions to drive client AI/ML initiatives forward
- Identify and drive account expansion opportunities by uncovering unmet client needs and where AI/ML can add value.
- Lead responses to RFIs and RFPs, crafting persuasive technical approaches and value propositions.
Requirements
- 8+ years as a hands-on Solutions Architect, Data Scientist, or Software Engineer that has designed and implemented complex AI/ML platforms and solutions
- 3+ years previous Consulting leadership experience leading projects, expanding customer relationships and ensuring delivery lead growth
- 4-year Bachelor's degree in Computer Science or a related field
- Experience deploying machine learning models in a production setting
- Proven track record of account expansion, pre-sales, and proposal development
- Experience leading cross-functional teams of engineers, data scientists, and architects
- Deep expertise in AI/ML technologies and platforms (e.g., AWS, GCP, Azure, Databricks, Vertex AI, SageMaker)
- Expertise in Python, Scala, Java, or another modern programming language
- The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets
- Development of APIs and web server applications (e.g. Flask, Django, Spring)
- Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment
- Excellent communication and interpersonal skills, with the ability to navigate complex client relationships
Benefits
- Remote-First Work Environment
- Casual, award-winning small-business work environment
- Collaborative culture that prizes autonomy, creativity, and transparency
- Competitive comp, excellent benefits, 4 weeks PTO plus 10 Holidays (and other cool perks)
- Accelerated learning and professional development through advanced training and certifications
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI/ML solutions architecturemachine learning model deploymentdata pipeline developmentAPI developmentsoftware development lifecyclePythonScalaJavaFlaskDjango
Soft skills
leadershipcommunicationinterpersonal skillsmentoringrelationship buildingpersuasionclient engagementproject managementteam collaborationproblem-solving