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Applied Ai Engineer, Government, International

openai

Híbrido London, UK
AI

Job Score

90 pts
Hybrid model (+80) AI (+10)

About the Team

The mission of the Applied AI Engineering team is to enable the secure and impactful implementation of Agentic solutions. In this international Government role, you will deliver clearly scoped AI use cases with public-sector customers, from a mission need through hands-on implementation, architecture, evaluations, measurable adoption, and documented handoff. Account-aligned technical and commercial owners retain ongoing account ownership.

About the Role

We are looking for a driven solutions leader with a product mindset to partner with our international public-sector customers and ensure they achieve tangible value with GenAI. You will pair with government agencies, policymakers, and other public institutions to establish a GenAI strategy and identify the highest value applications. You’ll partner with their technical teams, subject matter experts, regional cloud providers, systems integrators, and implementation partners to move from prototype through production. You’ll design architectures using supported OpenAI technologies and approved services, with explicit data, inference, evaluation, and production-readiness boundaries. You will collaborate closely with regional Sales and Solutions Engineering, Global Affairs, Applied Research, Product, Legal, and Security teams.

This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

  • Deliver clearly scoped technical implementations with sophisticated international public-sector customers, serving as their hands-on engineering partner to build applications on supported model APIs, Codex, and other approved OpenAI technologies.

  • Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.

  • Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance, often in collaboration with systems integrators and implementation partners.

  • Forge and manage relationships with our customers’ and implementation partners’ leadership and stakeholders to ensure the successful deployment and scale of their applications.

  • Contribute to our open-source developer and enterprise resources.

  • Scale the Applied AI Engineering function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.

  • Validate, synthesize, and deliver high-signal feedback to the Product, Engineering, and Research teams.

You will thrive in this role if you:

  • Bring substantial technical consulting or hands-on delivery experience with international public-sector or similarly regulated customers, bridging regional technical teams and senior stakeholders.

  • Have successfully led GenAI or traditional ML implementations for government agencies in close collaboration with systems integrators and implementation partners.

  • Understand network and cloud architecture, including on-premise deployments, and show practical judgment about privacy, data residency, model-inference location, sovereign or regulated environments, identity, procurement, and customer authorization.

  • Are an effective and polished communicator who can translate business and technical topics to all audiences, including cross-cultural communication with public-sector executives, regional delivery partners, and legal/security stakeholders.

  • Have industry experience in programming languages like Python, Go, or Typescript.

  • Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

  • Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

  • Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.

  • Can work with stakeholders in the target region's business hours and travel when required for customer delivery.

  • Existing UK Developed Vetting (DV) clearance is strongly preferred, particularly for work with UK intelligence and defense customers.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

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.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

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, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Artificial Intelligence

Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.

Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.

AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.

Discover Other Areas

Understand the scope of work, key skills, and tools used in different career areas.

About Engineering

Software Engineering goes beyond traditional development, focusing on scalability, performance, and system architecture. Software engineers are responsible for designing infrastructures that support millions of simultaneous users.

Skills include microservices architecture, DevOps, cloud computing, application security, and performance optimization. Knowledge of containerization (Docker, Kubernetes) and CI/CD is increasingly required.

Senior software engineers are rare and highly compensated professionals, with opportunities at major global tech companies.

About Public Relations

The Public Relations (PR) area focuses on managing the reputation, image, and communication of an organization with its various stakeholders (such as clients, investors, employees, media, and the community). PR professionals develop corporate communication strategies, manage media relations (press relations), organize institutional events, and work in image crisis prevention and management.

About Ecommerce Analyst

The Ecommerce Analyst is the professional responsible for analyzing online sales data, buyer behavior, and virtual store performance to guide strategic decisions. They combine data analysis with ecommerce knowledge to optimize conversion, average order value, and return on investment.

Key skills include Google Analytics (GA4), Hotjar, conversion funnel analysis, cohort analysis, customer segmentation, pricing analysis, and ecommerce metrics (CAC, CLV, AOV, conversion rate). Knowledge of SQL, Power BI, Google Tag Manager, and platforms like Shopify and VTEX is a differentiator.

Ecommerce Analysts in technology companies are highly valued, especially those who can turn buyer behavior data into actionable insights to increase revenue and reduce cart abandonment. The field offers opportunities from junior analyst to ecommerce analytics manager.

About Customer Service

The Customer Service / Client Relations area is essential for ensuring customer satisfaction, retention, and a good relationship. Professionals in this field are the primary interface for communication, handling inquiries, requests, feedback, and ensuring a high-quality day-to-day experience. Skills in communication, problem-solving, empathy, and patience are indispensable.

About Web3

The Web3 area represents the new phase of the decentralized internet, built on blockchain technology. Web3 professionals create decentralized applications (dApps), interact with smart contracts, manage digital assets (cryptocurrencies and NFTs), and utilize DeFi (Decentralized Finance) protocols, revolutionizing how data, ownership, and finance are managed online.

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Marketing Career Guide

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Finance Career Guide

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Communication Career Guide

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Administration Career Guide

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Product Career Guide

Product Management, Product Ownership, Agile, Scrum, and OKRs. From strategy to execution.

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Tech & Remote Glossary

Stop getting lost in interviews and job descriptions

The job market, especially within tech and global companies, has developed its own dialect. Not understanding these acronyms can make you lose valuable opportunities or poorly negotiate your contract. To end this problem, we created the Definitive Glossary for the Remote Professional.

🏢 Work Models & Routine

Async (Asynchronous Work)
A communication model where responses don't need to be immediate. Instead of back-to-back meetings, the team relies on well-structured documents, threads, and messages. It's the gold standard for global companies spanning multiple time zones.
Sync (Synchronous Work)
The opposite of Async. It requires the team to be online and available at the same time for meetings, live chats, and real-time collaboration.
Daily / Stand-up
A quick daily meeting (usually 15 minutes) common in Agile (Scrum) methodologies. The team answers three questions: What did I do yesterday? What will I do today? Are there any blockers?
All-Hands / Town Hall
A company-wide meeting involving all employees. Usually led by the founders (C-Levels) to present results, new goals, and answer team questions.
1:1 (One-on-One)
A recurring individual meeting between a professional and their direct manager. It is used for career alignment, feedback, and problem-solving, not just for project status updates.

💰 Contracts, Benefits & Compensation

PTO (Paid Time Off)
Instead of strict, categorized leave policies, modern US companies usually offer a flexible pool of days (e.g., 20 days of PTO, or even "Unlimited PTO") that you can use for vacations, sick days, or personal matters, while receiving your regular compensation.
Equity / Stock Options
Company ownership. The startup offers you the right to buy shares at a heavily discounted strike price in the future. If the company grows, goes public, or is acquired, these shares can be highly lucrative.
Vesting (Vesting Schedule)
The rule that controls your Equity. It usually lasts 4 years. You don't get all the shares on day one; you "earn" them gradually as you stay with the company. A "1-year Cliff" means you must stay for at least one year to receive your first batch of shares.
RSUs (Restricted Stock Units)
Unlike Stock Options (where you have the right to buy the stock), RSUs are actual shares the company grants you as a bonus or part of your compensation package, following a strict Vesting schedule.
Independent Contractor (1099 / B2B)
The most common international hiring model for global talent working for US companies. You act as a service provider (business-to-business), receiving the gross salary (often six-figure compensation) without standard local payroll tax deductions at the source.

🤖 Recruitment & Hiring Process

ATS (Applicant Tracking System)
The "robot" that reads your resume. Software like Greenhouse, Ashby, and Workday are used to filter candidates by keywords before a human even looks at the document. (Pro tip: this is why your resume must be clean, semantic, and have the right keywords).
JD (Job Description)
The document that lists the responsibilities, technical requirements, and benefits of the open position.
Cultural Fit
The interview stage that evaluates if your core values, communication style, and worldview align with the company's culture. This is the ultimate test of your Soft Skills.
Onboarding
The integration process. It's the period of your first few weeks at the company, where you get your access credentials, learn about the culture, study the internal documentation, and understand how the product works.

🚀 How to use this to your advantage?

The secret isn't just knowing what these acronyms mean, but using them actively. If during an interview for a premium tech role you ask, "How does your PTO policy and Vesting schedule work?", the recruiter will immediately perceive you as a high-level professional, familiar with the global market standards.

The remote job market requires preparation. And having the right vocabulary is the first big step to securing six-figure proposals and standing out among thousands of applicants.

Expert Tip

Landing Top-Tier Traffic Analyst and SEO Roles

The New Era of Performance Marketing

The digital marketing landscape has undergone a radical transformation in recent years. The era of the "button pusher" who merely launched Meta Ads campaigns or stuffed keywords into WordPress is officially over. Today, companies—especially top-tier US startups and global tech corporations offering six-figure compensations—are looking for analytical, Growth-focused, and highly Data-Driven professionals.

Whether managing multi-million dollar paid media budgets or optimizing site architecture for the new AI-driven search engines, the Traffic and SEO Analyst has become the engine of predictable revenue for tech companies worldwide.

1. Technical SEO and the AI Revolution (SGE)

With Google's introduction of the Search Generative Experience (SGE), SEO is no longer just about backlinks and search volume. It now requires a deep understanding of search intent and topical authority.

What Tech Recruiters are looking for:

  • Technical SEO Mastery: The ability to analyze Core Web Vitals, manage Crawl Budgets, and optimize JavaScript rendering (a critical factor for modern frameworks like React and Next.js).
  • Advanced Data Analysis: Fluency in enterprise tools such as Screaming Frog, Semrush, Ahrefs, and Google Search Console.
  • Focus on E-E-A-T: Experience, Expertise, Authoritativeness, and Trustworthiness. Understanding how to structure content so that Google's algorithm recognizes it as a reliable primary source.
"Modern SEO success requires you to stop optimizing for algorithms and start optimizing for the user journey, using technical data to remove any friction along the way." — Google Search Central Guidelines

2. Paid Traffic: From Operational to Strategic

In the realm of paid media (Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads), platform automation handles most of the bidding work (Smart Bidding). The modern candidate's competitive edge lies in acquisition strategy and financial viability analysis.

Metrics you must master for your interviews:

  1. CAC (Customer Acquisition Cost): Moving beyond Cost Per Click (CPC). Understanding exactly how much it costs to acquire a paying user.
  2. LTV (Lifetime Value): Knowing how to cross-reference acquisition costs with the value a customer brings to the company over time (LTV:CAC ratio).
  3. ROAS vs. ROI: Grasping the crucial difference between the direct return on ad spend (ROAS) and the actual return on investment for the entire business (ROI).
  4. Server-Side Tracking: With the deprecation of third-party cookies, mastering the Conversions API and Google Tag Manager (GTM) Server-Side is a massive senior requirement.

3. Building an Unbeatable Portfolio

In the global remote market, degrees matter far less than proven results. Your portfolio shouldn't just be a resume; it should be a comprehensive document of Case Studies.

Structure your cases using the STAR method:

  • Situation: What was the baseline? E.g., "The e-commerce brand was burning $10k/month with a 1.2 ROAS."
  • Task: What was the goal? E.g., "Reduce CPA by 30% and increase non-branded organic traffic."
  • Action: What did YOU do technically? E.g., "Audited GTM, restructured PMax campaigns, and applied Schema markup in the HTML."
  • Result: The numerical impact. E.g., "Scaled ROAS to 3.8 and grew organic traffic by 45% in 3 months."

4. Certifications That Actually Open Doors

If you want to bypass strict Applicant Tracking Systems (ATS) like Greenhouse or Workday, ensure your LinkedIn and resume feature official certifications issued by the tech platforms themselves:

References and Must-Reads

To stay relevant in a market that changes weekly, we highly recommend following these official sources:

  1. Official Google Search Central Documentation.
  2. Annual State of Marketing Reports from HubSpot and Semrush.
  3. Technical articles focused on Data-Driven Marketing from the Harvard Business Review.

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