Note: The job is a remote job and is open to candidates in USA. phData is a dynamic and innovative leader in the modern data stack, dedicated to helping global enterprises overcome their toughest data challenges. The Principal Solutions Architect will drive delivery excellence and customer success by architecting AI/ML solutions and engaging with clients to align their goals with strategic initiatives.
Responsibilities
- 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
Skills
- 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
- Master's or other advanced degree in data science or a related field
- Relevant side projects (e.g. contributions to an open source technology stack)
- Experience working with Data-Science and Machine-Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc
- Experience with Docker, Kubernetes, or some other containerization technology
- AWS Sagemaker (or Azure ML) and MLflow experience
- Experience building enterprise ML models
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
Company Overview
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