Solutions Architect - Data & AI
RescaleSalary not specified
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Cloud ComputingIndustries
Requirements
- Experience architecting, developing, deploying, and maintaining Azure generative AI and traditional machine learning solutions
- Experience with Microsoft Azure technologies like Azure Machine Learning, Azure OpenAI Service, Azure AI Search, Azure Databricks, Azure SQL Database, and Azure Cognitive Services
- Experience programming in languages such as Python, PySpark, or C#
- Strong foundational understanding of the concepts behind machine learning algorithms and generative AI
- Experience engaging in high-level conversations with clients to shape potential projects
- Experience in pre-sales motions to support the sales and business development teams
- Experience collaborating with business stakeholders to understand business requirements and design AI solutions which meet those requirements
- Outstanding verbal and written communication skills
- Excellent presentation and whiteboarding skills
- Experience communicating highly technical concepts to non-technical audiences
- Preferred Skills
- Bachelor’s degree in computer science or related field
- Experience building automations with Azure Function Apps, Azure Data Factory, Power Automate, or Azure Logic Apps
- AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications
- Experience with GitHub or Azure DevOps
- Prior consulting and business development experience
Responsibilities
- Leading clients in envisioning, designing, developing, and deploying AI solutions in Microsoft Azure
- Serving as a leader on multiple projects and multiple phases of the solution life cycle, including solution design and implementation of generative AI and traditional data science solutions
- Supporting company leaders and sales teams in business development, shaping estimations and sales estimates
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the company's culture like at Lantern?
Lantern's culture is built on trust, respect, inclusion, and belonging, fostering collaboration among inspired teams while prioritizing colleague well-being, client success, and societal impact. They embrace a growth mindset, celebrate excellence, and value individuals who inspire and mentor others.
What key skills are required for the Azure AI Apps Architect role?
Required skills include experience architecting and deploying Azure generative AI and machine learning solutions, proficiency with Azure technologies like Azure Machine Learning and Azure OpenAI Service, programming in Python, PySpark, or C#, and strong understanding of machine learning concepts.
What does the team structure look like for this position?
The role is part of a small, dynamic team where you will lead on multiple projects across various phases of the solution life cycle.
Is this position remote or does it require office work?
This information is not specified in the job description.
What is the salary or compensation for this role?
This information is not specified in the job description.
Later
Social media management and influencer marketing tools
About Later
Later provides tools for social media marketing, focusing on helping marketers, brands, and influencers create engaging content and measure their results. Its main products include Later Influence, which automates influencer marketing campaigns and connects brands with influencers; Later Social Media Management, a tool for planning, scheduling, and analyzing social media posts; and Later Link in Bio, which allows users to drive traffic to multiple destinations from a single link in their bio. Unlike many competitors, Later emphasizes a subscription model that offers various service tiers, ensuring continuous updates and support for users. The company's goal is to establish the first "Social Revenue" platform, enabling clients to achieve predictable and measurable returns from their social media activities.
Vancouver, CanadaHeadquarters
2014Year Founded
$3.7MTotal Funding
SEEDCompany Stage
Consumer Software, Consumer GoodsIndustries
1,001-5,000Employees
Benefits
Hybrid work environment
Education & conference budget
Wellness spending account
Flexible hours & work schedule
Technology bonus
Annual company retreat
Vacation & wellness days
Parental leave top-up
Learning & development workshops
Stock options
Risks
Linktree's growth may overshadow Later's Link in Bio tool.
Integration of Mavely could distract from core offerings.
Instagram's video shift may require adaptation of Later's tools.
Differentiation
Later combines influencer marketing and social media management in a unified platform.
The company offers AI-powered social listening tools for actionable insights.
Later's acquisition of Mavely enhances its social commerce capabilities.
Upsides
AI-enhanced search optimizes influencer discovery and ROI for brands.
Social commerce trends offer new monetization opportunities for creators.
Later's partnerships with major social platforms expand its market reach.
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