At a Glance
- Tasks: Lead the development and deployment of impactful AI solutions in industrial settings.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Competitive salary, mentorship opportunities, and a chance to work on real-world applications.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
- Why this job: Make a tangible difference by applying AI to solve real industrial challenges.
- Qualifications: 12+ years in AI/ML with strong leadership and customer engagement skills.
The predicted salary is between 90000 - 120000 € per year.
Requirements
- 12+ years of experience in AI/ML engineering, applied AI, or AI technical product management with at least 4 years in a customer-facing, technical lead position
- Bachelor's degree in Computer Science, Engineering, Industrial Systems, or a related technical field; advanced degree preferred
- Exceptional industrial domain understanding (life sciences, manufacturing, energy, infrastructure, asset-intensive industries, material science, etc.)
- Recent experience with modern AI paradigms such as world models, foundation models, and multi-modal language models; agent-based systems and orchestration; and context retrieval and augmentation techniques
- Customer-focused, pragmatic, and results-oriented with experience leading cross-functional technical projects or customer engagements
- Demonstrated hands-on experience deploying or integrating AI/ML solutions into real-world industrial environments
- Ability to identify emerging opportunities for AI in industrial applications
- Excellent communication and interpersonal skills with the ability to embed closely with customer teams and collaborate internally across engineering, product, and commercial teams
- (Desirable) Experience working across on-prem, edge, and cloud-connected architectures
- (Desirable) Experience in responsible deployment practices, model drift mitigation, privacy-preserving federated learning, and AI governance best practices
- (Desirable) Industrial data literacy (time series, SCADA, 3-D models) and experience working with non-ideal, real-world data
- (Desirable) Prior work in environments transitioning from traditional on-prem systems to AI-enabled or hybrid architectures
- (Desirable) Experience operating within regulated or compliance-driven environments (e.g., energy, safety-critical systems, data privacy)
- (Desirable) Experience mentoring or guiding less-experienced engineers
What the job involves
We are hiring a Lead Forward Deployed Engineer, AI to join our team. This hands-on leader will drive the development and deployment of AI solutions while bridging the gap between AI technologies exploration and real-world applications, ensuring solutions are practical, scalable, and impactful.
- Provide industrial domain expertise to guide AI tool, platform, and roadmap decisions and development
- Work directly with internal and external customers in a consultative, problem-solving manner to gather feedback and refine solutions
- Drive investigations into the application of advanced AI capabilities to industrial problems
- Identify and define industrial use cases for AI applications
- Develop AI-enabled demos, prototypes, and proof-of-value solutions for industrial problems
- Collaborate with cross-functional teams to integrate AI capabilities into industrial software systems and implement AI solutions
- Evaluate the performance and impact of AI models in operational environments
- Support and mentor junior team members
What success looks like:
- AI solutions are successfully applied to real industrial problems, not just conceptual designs
- Prototypes and deployments demonstrate practical feasibility and measurable impact
- Codified learnings, insights, and architectural patterns are captured in references, guides, playbooks, or building blocks that are digestible and actionable for others
- Industrial constraints (latency, security, compliance, reliability) are addressed through solid engineering decisions
- Strong collaboration in a matrix/incubation environment, contributing as a senior technical practitioner
- Feedback from field deployments meaningfully influences AI platform and product direction
Lead Forward Deployed Engineer (Artificial Intelligence) in Cambridge employer: Deepstreamtech
As a Lead Forward Deployed Engineer in Artificial Intelligence, you will thrive in a dynamic and innovative environment that prioritises collaboration and employee growth. Our company offers exceptional benefits, including opportunities for professional development and mentorship, while fostering a culture of inclusivity and teamwork. Located at the forefront of AI technology application in industrial settings, we empower our employees to make a tangible impact on real-world challenges, ensuring your work is both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Forward Deployed Engineer (Artificial Intelligence) in Cambridge
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI/ML space. Attend meetups, webinars, or industry conferences. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, demos, or prototypes. This is your chance to demonstrate your hands-on experience and how you've tackled real-world problems. Make sure to highlight any impactful results you've achieved!
✨Tip Number 3
Prepare for those interviews! Research the company and its AI initiatives. Be ready to discuss how your experience aligns with their needs, especially in customer-facing roles. Practice articulating your thought process when solving complex problems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your relevant experience and how you can contribute to our mission of deploying impactful AI solutions.
We think you need these skills to ace Lead Forward Deployed Engineer (Artificial Intelligence) in Cambridge
Some tips for your application 🫡
Showcase Your Experience:Make sure to highlight your 12+ years of experience in AI/ML engineering. We want to see how you've applied your skills in real-world scenarios, especially in customer-facing roles. Don't forget to mention any specific projects that demonstrate your expertise!
Tailor Your Application:When applying, tailor your CV and cover letter to reflect the job description. We love seeing candidates who understand our needs and can articulate how their background aligns with the role. Use keywords from the job description to make your application stand out!
Demonstrate Your Problem-Solving Skills:In your written application, share examples of how you've tackled complex problems in AI. We’re looking for a pragmatic approach, so include details about the challenges you faced and the solutions you implemented. This will show us your customer-focused mindset!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Deepstreamtech
✨Know Your AI Stuff
Make sure you brush up on the latest AI paradigms like world models and multi-modal language models. Be ready to discuss how you've applied these in real-world scenarios, especially in industrial settings. This will show that you’re not just familiar with the theory but can also translate it into practical solutions.
✨Showcase Your Customer-Facing Experience
Since this role involves a lot of customer interaction, prepare examples of how you've successfully led technical projects or engagements. Highlight your ability to communicate complex ideas clearly and how you’ve collaborated with cross-functional teams to deliver results.
✨Demonstrate Industrial Domain Knowledge
Familiarise yourself with the specific industries mentioned in the job description, like life sciences or manufacturing. Be prepared to discuss how your experience aligns with their needs and how you can leverage AI to solve industry-specific challenges.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about deploying AI/ML solutions. Brush up on responsible deployment practices and model drift mitigation. Being able to articulate your hands-on experience with these concepts will set you apart as a strong candidate.
