Solutions Architect - Public Sector
Snowflake147,200 - 205,300 USD/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Enterprise Software, NLP TechnologyIndustries
Requirements
Candidates must possess a Security Clearance, and a strong understanding of public sector environments and customer needs is essential. Experience in technical pre-sales and post-sales, particularly within the enterprise space, is highly desirable, along with the ability to develop deep customer understanding and translate business problems into technical solutions.
Responsibilities
As a Solutions Architect, you will develop a deep understanding of customer problems and map them to Cohere solutions, working closely with partners as the trusted technical advisor and owning the technical relationship with stakeholders. You will build customer Proof of Concepts, collaborate with stakeholders to understand their business objectives, take ownership of the customer narrative, and provide guidance on best practices for using Cohere. Additionally, you will identify areas for improvement within the platform, cultivate technical champions, and facilitate customer evaluations and PoC’s, while also leading the technical talk track on customer calls and collaborating with Product and Engineering teams.
Skills
Customer Engagement
Technical Advisory
Solution Design
Proof of Concept (PoC) Development
NLP Technology
Stakeholder Management
Technical Communication
Process Development
Collaboration with Product and Engineering
Cohere
Provides NLP tools and LLMs via API
About Cohere
Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.
Key Metrics
Toronto, CanadaHeadquarters
2019Year Founded
$914.4MTotal Funding
SERIES_DCompany Stage
AI & Machine LearningIndustries
501-1,000Employees