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For Companies At a Glance
- Tasks: Engage with clients to deploy impactful AI solutions and solve complex challenges.
- Company: Join a forward-thinking tech company transforming enterprise AI implementations.
- Benefits: Work on real-world AI systems, enjoy growth opportunities, and a creative team culture.
- Why this job: Make a significant impact in Fortune 500 companies while developing your skills.
- Qualifications: 5+ years in engineering, strong Python skills, and experience with AI/ML frameworks.
- Other info: Dynamic role with opportunities across various industries and excellent career trajectory.
The predicted salary is between 43200 - 72000 £ per year.
This position is for a Forward Deployed AI Architect. In this role, you will directly engage with enterprise clients to deploy impactful AI solutions tailored to their unique environments. You will navigate complex challenges, translating high-level designs into functional systems while ensuring reliability in production settings. Your work will have a significant impact on the way large organizations implement AI, facilitating transformation in their processes and operations. We seek a proactive problem-solver who thrives under pressure and can effectively advocate for technical solutions in dynamic client interactions.
Accountabilities
- Work side by side with clients, PMs, and Architects to scope and deploy AI systems that actually solve problems.
- Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector databases, and related tools.
- Navigate real-world challenges: data access, authentication, security, networking, and brittle enterprise environments.
- Translate high-level designs into working components that deliver measurable outcomes.
- Debug relentlessly - optimize for reliability in production, not just elegance in code.
- Write modular, reusable code that balances speed of delivery with long-term maintainability.
- Embed with client engineering teams to accelerate adoption and integration.
- Share insights from field implementations to inform reusable components in our platform.
- Document decisions with clarity so both clients and internal teams can build on your work.
Requirements
- 5+ years of engineering experience, with proven work shipping AI/ML systems into production.
- Strong Python skills and deep familiarity with modern AI/ML frameworks (LangChain, LlamaIndex, Hugging Face, vector databases).
- Hands‑on with cloud deployment, orchestration, CI/CD, and distributed environments (AWS, Azure, GCP).
- Ability to debug gnarly real-world issues (auth failures, networking black holes, flaky data pipelines).
- Problem-solver who thrives in ambiguity, focused on delivery and reliability over process and ceremony.
- Comfortable in client-facing environments - credible with engineers, clear with executives.
Benefits
- Impact: Ship AI systems that don’t just demo well but run at scale in Fortune 500 enterprises.
- Growth: Stay hands‑on with cutting‑edge frameworks while developing field‑tested instincts.
- Variety: Solve problems across industries, from finance to healthcare to defense.
- Culture: Work in a team that prizes resilience, creativity, and winning over process.
- Trajectory: Build both your technical and consulting muscles in one of the most demanding roles in AI delivery.
Senior AI Architect (Remote) - Forward Deployed employer: Jobgether
Contact Detail:
Jobgether Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Architect (Remote) - Forward Deployed
✨Tip Number 1
Get to know the company and its culture before your interview. Research their recent projects, especially in AI, and think about how your experience aligns with their goals. This will help you engage in meaningful conversations during the interview.
✨Tip Number 2
Practice your problem-solving skills! Since this role involves navigating complex challenges, be ready to discuss specific examples of how you've tackled tough issues in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Tip Number 3
Don’t shy away from showcasing your technical skills. Be prepared to dive deep into your experience with Python and AI/ML frameworks. Bring along any relevant projects or code samples that demonstrate your expertise and ability to deliver reliable solutions.
✨Tip Number 4
Apply through our website! We use an AI-powered matching process that ensures your application gets the attention it deserves. Plus, it speeds up the review process, so you can get to the interview stage faster!
We think you need these skills to ace Senior AI Architect (Remote) - Forward Deployed
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior AI Architect role. Highlight your experience with AI/ML systems and any client-facing work you've done. We want to see how you can bring your unique skills to our team!
Showcase Your Problem-Solving Skills: In your application, share specific examples of how you've tackled complex challenges in previous roles. We love proactive problem-solvers who thrive under pressure, so let us know how you've navigated tricky situations in the past.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: We encourage you to submit your application through our website. This way, your application will be reviewed quickly and fairly, ensuring you get the best chance at landing an interview. Don't miss out on this opportunity!
How to prepare for a job interview at Jobgether
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML frameworks like LangChain and Hugging Face. Be ready to discuss how you've used these tools in real-world scenarios, especially in production settings. This will show that you can not only talk the talk but also walk the walk.
✨Client Engagement is Key
Since this role involves direct client interaction, practice articulating complex technical concepts in a way that's easy for non-technical stakeholders to understand. Think about examples where you've successfully communicated with clients or executives and be prepared to share those stories.
✨Debugging Skills Matter
Prepare to discuss specific challenges you've faced in debugging AI systems, especially in production environments. Highlight your problem-solving approach and any tools or techniques you used to overcome issues like authentication failures or flaky data pipelines.
✨Showcase Your Team Spirit
This role requires collaboration with various teams, so be ready to talk about your experience working alongside engineers and project managers. Share examples of how you've contributed to team success and how you can help foster a positive, resilient culture in the workplace.
