At a Glance
- Tasks: Lead the deployment of cutting-edge AI solutions on AWS and guide enterprise customers.
- Company: Join a leading tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with significant impact on customer success and partner ecosystems.
- Why this job: Shape the future of AI while collaborating with top industry leaders.
- Qualifications: 8+ years in solutions architecture and deep AWS expertise required.
The predicted salary is between 80000 - 100000 £ per year.
The AI Deployment Engineering (ADE) team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production‑scale AI systems. As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI‑powered solutions.
We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams). This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre‑ and post‑sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments. You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high‑priority opportunities.
In This Role, You Will
- Strategic AWS Engagement & Influence: Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams. Influence joint account strategy and technical direction for high‑priority opportunities. Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices. Proactively identify and drive net‑new opportunities and high‑impact use cases across the AWS ecosystem.
- Complex Deal Leadership & Execution: Lead technical strategy for large, ambiguous, and high‑stakes enterprise engagements. Guide customers from early ideation through architecture design, prototyping, and production deployment. Act as a technical decision‑maker and escalation point, de‑risking complex implementations. Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.
- Solution Architecture & Hands‑On Building: Design and communicate end‑to‑end AI architectures leveraging OpenAI and AWS services. Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption. Establish best practices for scalable, secure, and production‑ready GenAI systems. Ensure solutions are designed for repeatability, extensibility, and partner‑led delivery.
- Ecosystem Enablement & Scale: Enable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos). Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs. Mentor and uplift partner technical teams, accelerating their path to self‑sufficiency. Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.
- Cross‑Functional Leadership & Feedback: Partner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution. Act as a bridge between field and product, delivering high‑signal insights to inform roadmap and prioritization. Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.
We’re Looking for Someone With
- 8+ years of experience in solutions architecture, technical consulting, or equivalent customer‑facing roles.
- Deep experience with AWS architecture and field engagement models.
- Strong understanding of AI/ML systems and modern application architectures.
- Proven track record of leading complex, enterprise‑scale technical engagements.
- Experience supporting enterprise sales cycles as a senior technical lead.
- Strong ability to translate ambiguous business problems into scalable technical solutions.
- Demonstrated judgment in prioritization, tradeoffs, and resource allocation.
- Experience influencing senior technical stakeholders and executive leadership.
- Track record of driving production deployments and measurable customer outcomes.
- Experience working within partner ecosystems (AWS, GSIs, ISVs).
You Might Thrive in This Role If You
- Operate as a technical leader and systems thinker, not just an individual contributor.
- Balance hands‑on building with strategic influence and scale.
- Know when to go deep technically vs. enable others to execute.
- Build trust quickly with engineers, architects, and executives alike.
- Default to creating repeatable patterns, not one‑off solutions.
- Are comfortable owning ambiguous, high‑visibility problem spaces.
- Take a long‑term, ecosystem‑oriented view of impact.
- Are motivated by driving customer and partner success at scale.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws.
Partner AI Deployment Engineer - AWS employer: OpenAI
At OpenAI, we pride ourselves on being an exceptional employer, particularly for the Partner AI Deployment Engineer role in London. Our collaborative work culture fosters innovation and growth, providing employees with ample opportunities to develop their skills while working at the forefront of AI technology. With a strong emphasis on mentorship and cross-functional leadership, we empower our team members to drive impactful solutions within a dynamic and supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Partner AI Deployment Engineer - AWS
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry, especially those at AWS. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or case studies, make sure to highlight them during interviews. Demonstrating your hands-on experience with AI architectures and AWS solutions can really set you apart from the crowd.
✨Tip Number 3
Prepare for the technical deep dive! Brush up on your knowledge of AI/ML systems and AWS architecture. Be ready to discuss how you’ve tackled complex problems in the past and how you can apply that experience to help customers scale their AI solutions.
✨Tip Number 4
Don’t forget to follow up! After interviews or networking events, send a quick thank-you note. It shows your appreciation and keeps you fresh in their minds. Plus, it’s a great opportunity to reiterate your enthusiasm for the role and the company!
We think you need these skills to ace Partner AI Deployment Engineer - AWS
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Partner AI Deployment Engineer role. Highlight your experience with AWS and any relevant projects that showcase your technical expertise and leadership skills.
Showcase Your Technical Skills:Don’t just list your skills—demonstrate them! Use specific examples from your past roles where you’ve led complex technical engagements or influenced strategy. This will help us see how you can make an impact at StudySmarter.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We want to understand your experience and ideas without getting lost in complicated terms.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at OpenAI
✨Know Your AWS Inside Out
Make sure you brush up on your AWS architecture knowledge. Understand the various services and how they integrate with AI applications. Be ready to discuss specific use cases where you've successfully implemented AWS solutions in the past.
✨Showcase Your Technical Leadership
Prepare examples that highlight your experience as a technical leader. Think about times when you've influenced strategy or guided teams through complex projects. This role requires strong judgment, so be ready to discuss how you've made tough decisions in high-stakes situations.
✨Demonstrate Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Practice articulating how you would approach ambiguous business problems and translate them into scalable technical solutions. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Engage with the Ecosystem Mindset
Understand the importance of partnerships in this role. Be ready to discuss how you've worked within partner ecosystems before, particularly with AWS or similar platforms. Highlight any experience mentoring teams or developing reusable assets that empower others to succeed.
