What are the responsibilities and job description for the AI Solution Architect position at AutoStore™?
AutoStore is a global leader in warehouse automation. We are helping companies expand their potential with our innovative cube solution. As a company, we are looking to ever adapt and expand our technology for the future. We are looking for an AI Solution Architect to help us with this goal. Capitalizing on the advancements AI can bring will be an important part of AutoStore's growth. See details for the role below and come join AutoStore!
AutoStore Offers
- Solution Design and Architecture
- Requirement Gathering: Collaborate with business stakeholders to understand their objectives, challenges, and AI-related needs.
- Solution Development: Design AI and machine learning (ML) architectures to solve business problems, ensuring scalability, performance, and maintainability.
- Technology Selection: Evaluate and recommend appropriate AI tools, frameworks, and technologies based on project requirements.
- Integration: Design solutions that seamlessly integrate AI models into existing systems or workflows (e.g., CRM, ERP, cloud services).
- Technical Leadership
- Model Deployment: Guide the deployment of AI/ML models into production environments, ensuring robust performance under real-world conditions.
- Scalability and Optimization: Ensure solutions can scale effectively with increasing data, users, or demands, optimizing infrastructure and model performance.
- Data Pipeline Development: Oversee the design of data ingestion, preprocessing, and storage pipelines to feed AI models with clean, high-quality data.
- Cross-Functional Collaboration
- Team Coordination: Work closely with data scientists, engineers, DevOps teams, and business stakeholders to deliver end-to-end AI solutions.
- Training and Enablement: Educate internal teams on AI capabilities and how to leverage AI tools effectively.
- AI Governance and Compliance
- Ethics and Bias: Ensure AI solutions adhere to ethical standards, minimizing bias and ensuring fairness in model outcomes.
- Regulatory Compliance: Design AI systems that comply with industry regulations (e.g., GDPR, HIPAA).
- Monitoring: Establish monitoring mechanisms to detect performance degradation or unintended consequences in production.
- Strategic Vision
- Roadmap Development: Define the organization's AI strategy, aligning with business objectives and long-term goals.
- Innovation: Stay updated on the latest trends, technologies, and best practices in AI/ML, applying innovative ideas to projects.
- Cost Management: Manage the cost of AI implementations, including infrastructure, licensing, and human resources.
- Documentation and Communication
- Documentation: Maintain detailed documentation for AI architectures, workflows, and processes for internal reference and onboarding.
- Communication: Present AI solutions and their impact to non-technical stakeholders, translating complex technical concepts into business terms.
- Education: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
- Experience: 5 years of experience in AI/ML, with at least 2 years in an architecture and hands on experience matching most of the job requirements
- Strong knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages (e.g., Python, Java, R).
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud AI services).
- Familiarity with big data technologies (e.g., Spark, Hadoop).
- Understanding of software engineering principles (e.g., CI/CD, APIs).
- Expertise in data modeling, pipelines, and database design.
- Strong communication and problem-solving skills.
AutoStore Offers
- A company culture where we recognize and applaud everyone's contributions in making decisions
- Retirement Options
- Unlimited PTO
- Volunteer Time
- Generous maternity and paternity leave