Mistral AI Logo

Mistral AI

Applied AI, Technical Lead - Forward Deployed AI Engineer

Reposted 24 Days Ago
Hybrid
New York, NY
Senior level
Hybrid
New York, NY
Senior level
Lead the technical strategy and execution of AI solutions, mentoring teams, engaging with customers, and ensuring product alignment with market trends.
The summary above was generated by AI
About Mistral 

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

About The Job: Technical Lead, Applied AI

Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.

You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.

As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.

What you will do

- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.

About you
- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.
- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.

Ideally, you have:
- Contributed to open-source projects, particularly in the LLM or AI space.
- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.

Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!

What we offer

  • 💰 Competitive salary and equity.
  • 🚑 Healthcare: Medical/Dental/Vision covered for you and your family.
  • 👴🏻 Pension : 401K (6% matching)
  • 🏝️ PTO : 18 days 
  • 🚗 Transportation: Reimburse office parking charges, or $120/month for public transport
  • 🏀 Sport: $120/month reimbursement for gym membership
  • 🥕 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)
  • 🌎 Visa sponsorship 
  • 🤝 Coaching: we offer BetterUp coaching on a voluntary basis

Why join us? 

You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!

Top Skills

AWS
Azure
GCP
Hugging Face
Langchain
Python
PyTorch

Similar Jobs

30 Minutes Ago
Easy Apply
Hybrid
3 Locations
Easy Apply
168K-244K Annually
Senior level
168K-244K Annually
Senior level
Fintech • HR Tech
Advise on litigation and regulatory disputes, manage outside counsel, and mitigate legal risks in a fast-paced environment.
Top Skills: Legal AnalysisLitigation ManagementRegulatory Compliance
30 Minutes Ago
Easy Apply
Hybrid
3 Locations
Easy Apply
110K-164K Annually
Mid level
110K-164K Annually
Mid level
Fintech • HR Tech
The Technical Lead for Financial Crime Compliance will manage the technical delivery of oversight capabilities, ensuring data integrity, overseeing AI integrations, and working with Engineering and Product teams.
Top Skills: Ai-Enabled ControlsAutomation ToolsData Visualization ToolsSQL
30 Minutes Ago
In-Office
New York City, NY, USA
130K-150K Annually
Mid level
130K-150K Annually
Mid level
Events • Social Media • Software
The GTM Engineer will manage revenue systems, automate workflows, and optimize GTM tools and metrics, ensuring data integrity and efficiency.
Top Skills: APIsHubspotJavaScriptPlanhatPythonSalesforceSQLZapier

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account