AI Solution Architect, Mistral AI
France
+ Equity
More information about location
Generative AI model developers
Be an early applicant
Generative AI model developers
101-200 employees
Be an early applicant
+ Equity
More information about location
101-200 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)
- You have been involved in a customer facing role
- Passion for AI, with a constant drive to stay updated and ahead of the curve
- Proven experience in product implementation in AI or machine learning products
- You have strong project & stakeholder management skills
- You are proficient in developing custom prototypes using frameworks in Python or Javascript
- You have foundational knowledge in AI/ML/Data science
- Proficient in understanding and developing code
- Familiarity with front-end interfaces and integration processes
- You have ability to connect technology and business value
- You are result driven and resilient
- Being familiar with sales qualification concepts is a strong plus
- We are looking for adaptable team players who excel in a fast-paced environment and are ready to frequently support pre-sales as well as deployment tasks, contributing to our shared goals and success
What the job involves
- As our AI Solution Architect, you'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It's a purely IC role
- You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results
- You'll partner with Sales Executives in tailoring Mistral's offering into impactful solutions meeting with prospects needs
- You'll design implementation projects and scope the required resources on both Mistral and customer side
- You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations
- You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production
- You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs
- You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages
- You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world
- You will travel approximately 30 to 60% of your time
- Your role will involve spending time at the client’s office
- Pre-Sales & Sales Activities:
- Conduct pre-sales calls to understand potential clients' needs, challenges, and aspirations
- Lead qualification calls to pinpoint prospects who would gain the most from our solutions
- Collaborate with the sales team to advance the sale pipeline, providing technical expertise and insights where necessary
- Product Implementation, Integration & Deployment:
- Guide and support customers in deploying our models and products into their infrastructure
- Work closely with customers to fine-tune models according to their specific requirements
- Assist clients in integrating our APIs into their front-end interfaces, ensuring a smooth user experience
- Regularly liaise with the product and technical teams to relay feedback and suggest improvements
- Design and develop product features that would meet the need of many customers
- Customer Success & Support:
- Continually ensure that the customer is maximizing the product's potential
- Provide post-deployment support, addressing any issues or challenges that arise promptly
- Conduct periodic reviews with customers to ascertain their satisfaction and gather feedback
- Offer recommendations for product optimisations or new features based on customer feedback
- Develop these features if needed
- Delivering value to the customers:
- Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives
- Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer
- On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process
- Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities
Application process
- Talent Acquisition screening call
- 30min Hiring Manager Interview
- 45min Business Acumen Interview
- 60min Technical Deep Dive on LLMs
- Panel (Home Prep & Restitution)
- 30min Value Talk
- Reference check
Our take
Founded by Facebook AI researchers, Mistral AI focuses on developing open-source generative AI models to "make AI useful." It emerged in early 2023, quickly achieving a $260 million valuation.
With the upcoming release of Mixtral in 2024, featuring up to 176 billion parameters, Mistral is under pressure to deliver. Mixtral's open-source nature has sparked concerns about potential misuse, yet Mistral remains a formidable competitor in the AI landscape, challenging models from Google and Meta.
Recently, Mistral secured a massive $640 million funding round, raising its valuation to $6 billion. This Series A funding, led by General Catalyst and including investors like Lightspeed Venture Partners and Andreessen Horowitz, underscores significant interest in alternatives to ChatGPT.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Jun 2024
$541.5m
SERIES B
Feb 2024
$17.4m
SERIES A
Total funding: $1.1bn
Company benefits
- Competitive bonus structure
- Equity
- Opportunities for professional growth and development
Company HQ
Villette, Paris, France
Leadership
Timothee Lacroix
(CTO)Previously PhD and Software Engineer Intern at Facebook and Visiting Undergraduate at CAlab UCSD
Guillaume Lample
(Chief Scientist)Research Student and Scientist at Facebook AI and Research Intern at Jane Street Capital
Arthur Mensch
(CEO)Previously Staff Research Scientist at DeepMind, Post-doc researcher at École normale supérieure, Visiting Researcher at NYU Courant Institute of Mathematical Sciences and PhD Student at Inria
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