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!
1. 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).
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
Key Skills for an AI Solution Architect
- 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.
An AI Solution Architect is the bridge between cutting-edge AI technologies and practical business applications, ensuring the successful delivery of impactful AI solutions. Let me know if you'd like further insights!
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
AutoStore Denver, Colorado, USA Office
In the old industrial neighborhood of RiNo, this office is the classic tech start up open floor plan.
Similar Jobs
Software
As a Salesforce Digital Experience Solution Architect, you will design and implement user-centric solutions using AI technologies, primarily focusing on Salesforce products to enhance customer experiences and optimize business processes. You'll work closely with clients and teams to translate business needs into effective solutions and mentor junior members.
Top Skills:
AgentforceAmazon ConnectEinstein BotsEinstein Service IntelligenceExperience CloudGenerative AiSalesforce EinsteinService Cloud
Information Technology • Software
The role involves providing AI/ML technical leadership, researching and developing AI/ML solutions, leading AI architecture designs, and serving as a liaison among various teams to scale AI initiatives for client programs. It requires expertise in advanced analytics and effective communication to manage technical solutions and enhance enterprise capabilities.
Cloud • Software
The Senior Solution Architect leads enterprise-level engagements, acting as a trusted advisor to clients. Responsibilities include guiding project strategies, resolving complex issues, leading discovery sessions, and ensuring effective implementation of solutions on the Salesforce platform while collaborating with various stakeholders.
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
