Full-Time

AI Solution Architect

Pre sales

Posted on 5/15/2025

Mistral AI

Mistral AI

1,001-5,000 employees

Open-source LLM platform and API access

No salary listed

Palo Alto, CA, USA

Hybrid

Category
Sales & Solution Engineering (1)
Required Skills
Python
Machine Learning
Requirements
  • Previous experience in a technical pre-sales or consulting role with a heavy emphasis on customer-facing interactions (i.e. Implementation Consultant, Solutions Architect, Sales Engineer)
  • Experience partnering with Account Executives or Engagement Managers driving technical account strategy, proof-of-concept scoping, and execution
  • Strong Python development skills with proven ability to integrate data from multiple sources
  • Working knowledge of cloud architecture and deployment patterns for AI/ML solutions
  • Track record of managing complex implementation projects from discovery to delivery
  • Experience running solution design workshops and translating business requirements into technical specifications
  • Strong stakeholder management skills, including experience working with C-level executives
  • Outstanding presentation and communication skills, with ability to adapt messaging for technical and business audiences
  • Bachelor's or Master's in computer science, engineering, mathematics, or related fields (or equivalent experience)
Responsibilities
  • 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
  • Collaborate with the sales team to progress deals and penetrate accounts, providing technical expertise and insights where necessary
  • Influence evaluation criteria and gain control of evaluations and the evaluation process
  • Create a strategic vision for the customer based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities
  • Guide and support customers in deploying our text completion API 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
  • Collaborate with Account Executives to ensure that the customer is maximizing the product's potential
  • Provide post-deployment support, addressing any issues or challenges that arise promptly
  • Offer recommendations for product optimizations or new features based on customer feedback
  • Develop custom features for customers as needed
Desired Qualifications
  • Led successful deployments of Generative AI or traditional machine learning solutions in enterprise environments, including prototyping and customization
  • Familiarity with deal qualification using MEDDPICC and/or value-based sales methodologies like Command of the Message

Mistral AI is a French company that develops open-source large language models and the tooling around them. It provides a platform where developers and businesses can access, customize, and deploy AI models to build new AI-powered products and services. The company has released models such as Mistral 7B and Mixtral 8x7B, the latter using a Mixture of Experts (MoE) architecture to balance performance and efficiency. Users interact with the models via an API or similar platform, and Mistral AI earns revenue by charging for access to its proprietary models and related services. What sets Mistral AI apart is its open-source approach and community-driven development, combined with expert leadership from former Google DeepMind and Meta AI researchers who bring deep AI research experience. The company’s goal is to empower businesses to create and deploy AI-driven solutions by providing accessible, efficient, and customizable AI models and tools.

Company Size

1,001-5,000

Company Stage

Debt Financing

Total Funding

$3.9B

Headquarters

Paris, France

Founded

2023

Simplify Jobs

Simplify's Take

What believers are saying

  • Airbus validated Mistral for sovereign aerospace workflows, from engineering to onboard AI.[1]
  • TCS partnership expands Mistral into enterprise deployments across banking, healthcare, and public sector.[1]
  • SAP integration positions Mistral inside governed enterprise agent workflows and business processes.[1]

What critics are saying

  • Open-weight releases make customer self-hosting and switching easier after integration work.[2]
  • On-premises sovereign deployments slow sales cycles and raise delivery costs in regulated accounts.[1]
  • Heavy data-center investment increases cash burn before revenue proves large-scale utilization.[1]

What makes Mistral AI unique

  • Mistral combines open-weight models with commercial frontier APIs and enterprise deployment tools.[1][2]
  • Its European sovereignty focus targets regulated buyers needing on-premises and data-resident AI.[1][2]
  • The company emphasizes full-stack control across models, apps, developer tools, and compute.[1][3]

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Benefits

Health Insurance

Company Equity

Parental Leave

401(k) Retirement Plan

Paid Vacation

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-2%

2 year growth

4%
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Cybersecurity News: Foxconn factory attacks, BitLocker zero-day accesses protected drives, MDASH patches Windows flaws. May 14, 2026 In today's cybersecurity news... Foxconn confirms North American factory attack. Foxconn said that several North American factories were hit by a cyberattack claimed by the Nitrogen ransomware group, which says it stole 8TB of data including confidential files tied to customers like Apple, Intel, Google, Dell, and NVIDIA. Foxconn said it activated incident response measures and is restoring affected operations. The ransomware group continues to pressure victims through data theft and file encryption. (SecurityWeek) BitLocker zero-day accesses protected drives. A researcher known as Chaotic Eclipse or Nightmare Eclipse released proof-of-concept exploits for two unpatched Windows zero-days dubbed YellowKey and GreenPlasma, including a BitLocker bypass that can expose encrypted drives through the Windows Recovery Environment. Security researchers confirmed parts of the YellowKey exploit, which abuses NTFS transaction logs to launch a command shell with access to unlocked BitLocker volumes on TPM-only systems. The disclosure follows earlier leaked Windows exploits from the same researcher. (BleepingComputer) MDASH patches 16 Windows flaws. Microsoft unveiled MDASH, a multi-model AI system that uses more than 100 specialized agents to discover and validate software vulnerabilities in Windows codebases. The company said MDASH identified 16 flaws patched in this month's Patch Tuesday release, including two critical remote code execution bugs affecting Windows networking and authentication components. This follows similar AI-driven cybersecurity efforts from Anthropic and OpenAI. (The Hacker News) Mistral develops new AI model for banks. Bloomberg's sources say Mistral AI is developing a cybersecurity-focused AI model for European banks looking for alternatives to Anthropic's restricted-access Mythos system. The company has reportedly been in talks with financial institutions concerned about AI-driven cyber threats and Europe's limited access to advanced US security models. Mistral CEO Arthur Mensch also argued that Europe needs domestic AI security tools to avoid dependence on foreign systems. (Bloomberg) Huge thanks to our episode sponsor, Doppel. Exim mailer flaw allows remote code execution. A critical remote code execution flaw was disclosed in the Exim mail server, affecting versions 4.97 through 4.99.2 compiled with GnuTLS and certain SMTP features enabled. The vulnerability stems from a use-after-free bug during TLS shutdown that could let unauthenticated attackers execute commands, access emails, and potentially access compromised environments. Researchers at XBOW said AI-assisted tools helped accelerate exploit development, though a human researcher ultimately produced the successful exploit. (BleepingComputer) Bug hunter tracks down three massive MCP flaws. An Akamai researcher uncovered three major vulnerabilities in Model Context Protocol (MCP) servers tied to Apache Software Foundation Doris, Apache Pinot, and Alibaba RDS that could allow SQL injection, sensitive data theft, or full database compromise through AI-connected systems. Apache patched an SQL injection flaw in Doris. Pinot added optional OAuth protections but still has unresolved issues. Alibaba reportedly declined to patch its RDS MCP vulnerability, which researchers said could expose sensitive metadata through unauthenticated requests. (The Register) Attackers weaponize RubyGems. Socket researchers uncovered a campaign dubbed "GemStuffer" that abuses the RubyGems package registry as a dead-drop system for exfiltrated data rather than traditional malware delivery. More than 100 malicious gems scraped public-facing UK government websites and uploaded the collected data back to RubyGems using embedded API keys, letting attackers retrieve the information without dedicated command-and-control infrastructure. Researchers warned it highlights how software package registries could increasingly be abused as covert data transport layers in future supply chain attacks. (Dark Reading) Tables turn on 'the Gentlemen' Check Point analyzed leaked internal data from the ransomware group "The Gentlemen" after unknown hackers breached the gang's backend systems and began selling 16GB of stolen data. The leak revealed a structured ransomware-as-a-service operation led by an operator known as "zeta88," with specialized members handling reconnaissance, credential access, negotiations, and malware development with a 90/10 affiliate payout model. The group is said to rely on known vulnerabilities, common ransomware tooling, and some AI-assisted development. (Dark Reading)

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Text-to-Speech in 2026: A new era of voice intelligence. Published: 2026-04-08 Text-to-Speech (TTS) technology is undergoing a rapid transformation in 2026, driven by breakthroughs in artificial intelligence that significantly improve voice quality, speed, and realism. From enterprise automation to digital assistants and content creation, the latest developments are reshaping how machines communicate with humans. Two recent innovations - Mistral AI's new model and Smallest AI's Lightning V3 - highlight a competitive shift in the TTS landscape, where performance benchmarks and real-time capabilities are becoming critical differentiators. Breakthrough in voice quality and performance. Recent advancements in TTS models emphasize natural-sounding speech, reduced latency, and improved multilingual capabilities. 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The ability to deliver near-instantaneous voice output is expected to drive adoption across sectors such as customer support, healthcare, and virtual collaboration platforms. Competitive landscape: rising innovation pressure. The TTS market is becoming highly competitive, with new entrants challenging established players through performance-driven innovation. Competitive highlights. * New models are directly benchmarking against industry leaders * Startups are focusing on lightweight architectures with high output quality * Innovation is shifting toward efficiency without compromising realism Lightning V3's ability to outperform established models on voice quality benchmarks signals a growing disruption in the market. Its observations at Next Move Strategy Consulting indicates, the competitive intensity in TTS is accelerating innovation cycles. Companies are increasingly adopting a benchmark-first approach, where measurable improvements in voice quality and efficiency determine market success. This trend is likely to lower entry barriers while intensifying differentiation strategies. Expanding use cases across industries. The improved capabilities of modern TTS models are unlocking new applications beyond traditional domains. Emerging use cases. * Customer Experience: AI-powered voice agents delivering human-like interactions * Content Creation: Automated narration for videos, podcasts, and audiobooks * Accessibility: Enhanced tools for visually impaired users * Enterprise Automation: Voice-enabled workflows and reporting systems Application Ecosystem Insights from Next Move Strategy Consulting indicates the diversification of use cases demonstrates that TTS is transitioning into a foundational AI capability. 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With innovations from companies like Mistral AI and Smallest AI, the focus has shifted toward realism, speed, and efficiency. As competition intensifies, the technology is set to become a cornerstone of digital interaction, enabling more natural and seamless communication between humans and machines. Analysis from Next Move Strategy Consulting states, the trajectory of Text-to-Speech innovation indicates a convergence of performance, accessibility, and scalability. Organizations that strategically adopt advanced TTS solutions will gain a competitive edge in delivering personalized and efficient user experiences. Next steps for businesses and developers. To stay ahead in the evolving TTS landscape, organizations should: 1. Evaluate real-time capabilities when selecting TTS solutions 2. Prioritize voice quality benchmarks for user-facing applications 3. Adopt scalable and efficient models to reduce operational costs 4. Integrate TTS into omnichannel strategies for better customer engagement 5. Monitor emerging players for innovation opportunities

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