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Applied Ai Architect, Government

openai

Híbrido Washington, DC
AI

Job Score

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

About the Team

The OpenAI for Government AI Architect team partners with public sector organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with government agencies, public institutions, and partner organizations serving the government to identify where AI can advance critical missions, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, Security, Global Affairs, and specialist delivery teams to help public sector customers adopt advanced AI responsibly and effectively.

About the Role

As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will shape each customer's AI strategy and guide their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable mission impact.

You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate mission priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value. The Account Director leads the overall account strategy and relationship, while you lead the technical strategy, customer journey, and path to production impact.

You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong public sector fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations.

This role is based in Washington, D.C. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role, you will:

  • Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of public sector customers and pre-sales prospects.

  • Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities.

  • Lead discovery with agency leaders, mission owners, executives, and technical teams to identify, qualify, and prioritize use cases tied to meaningful mission and operational outcomes.

  • Develop clear Applied AI Architectures spanning models, applications, data, integration, identity, security, privacy, governance, evaluation, and deployment.

  • Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, building confidence in both the solution and its path to production.

  • Help customers navigate the security, compliance, governance, and deployment requirements that shape AI adoption in the public sector.

  • Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans.

  • Develop trusted relationships and technical champions across CIOs, CTOs, CISOs, Chief Data and AI Officers, program leaders, engineering teams, and other customer stakeholders.

  • Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, security, product and domain specialists, partners, and other delivery teams.

  • Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged.

  • Track adoption, usage, account health, production readiness, and measurable mission impact, intervening early when risks threaten value realization.

  • Apply public sector and mission expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities.

  • Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices.

You might thrive in this role if you:

  • Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success.

  • Have guided complex organizations from technical evaluation through production adoption and measurable impact.

  • Have experience working with government agencies, public institutions, or government contractors and understand how mission priorities, security, compliance, governance, and procurement considerations shape technology adoption.

  • Build credibility with senior technical and government leaders while communicating equally well with hands-on engineers and program teams.

  • Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy.

  • Understand modern AI systems, frontier models, agentic applications, model evaluation, retrieval, and enterprise AI workflows.

  • Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript.

  • Exercise sound judgment about when to go deep personally, when to involve specialists, and how to establish clear handoffs and ownership.

  • Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes.

  • Bring meaningful expertise in a relevant public sector mission or customer segment.

  • Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan.

  • Work collaboratively across disciplines and care deeply about helping public sector organizations deploy advanced AI safely and responsibly.

While a security clearance is not required, candidates with an existing clearance may have additional opportunities to engage.

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 Branding

Branding is the area responsible for building, managing, and strengthening a brand's identity and market value. Branding professionals create strategies that define how the brand is perceived by the public, from the logo to the complete customer experience.

Key skills include brand strategy, visual identity, brand guidelines, positioning, naming, brand voice, market research, brand equity, and brand management. Knowledge of graphic design (Figma, Illustrator, Photoshop), storytelling, and brand experience is a differentiator.

Branding professionals in technology companies are highly valued, especially those who master employer branding, digital branding, and can build strong, memorable brands in competitive markets. The field offers opportunities from brand designer to head of brand, with a focus on identity, differentiation, and perceived value.

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 Business Intelligence

Business Intelligence (BI) is the area responsible for transforming raw data into strategic information for decision-making. BI professionals build dashboards, reports, and analyses that help companies understand their performance and identify growth opportunities.

Key skills include data modeling (star schema, snowflake), ETL (extraction, transformation, loading), advanced SQL, BI tools (Power BI, Tableau, Looker), data warehousing, KPIs, and business metrics analysis (MRR, churn, cohort). Knowledge of dbt, Airflow, and data pipelines is a differentiator.

BI professionals in technology companies are highly valued, especially those who master data visualization, analytics engineering, and can translate complex data into actionable insights for the business. The field offers opportunities from BI analyst to head of data, with a focus on data-driven decision making.

About Content

The Content and Social Media area is essential for building digital presence and audience engagement. Professionals create content strategies, manage social networks, and develop impactful brand narratives.

Key skills include copywriting, storytelling, community management, metrics analysis, audiovisual production, and knowledge of each platform algorithms.

With the growth of influencer marketing and social commerce, this area continues to generate new career opportunities.

Career Guides

Technology Career Guide

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Design Career Guide

UX/UI, Graphic Design, Product Design. Portfolio, tools, interviews, and growth in the Design field.

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Marketing Career Guide

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Finance Career Guide

Financial market, investments, corporate finance, certifications, and strategies to grow in the financial field.

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Communication Career Guide

Journalism, PR, Corporate Communication, Content Marketing, and Multimedia Production.

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Administration Career Guide

Business Management, HR, Logistics, Consulting, Project Management, and Entrepreneurship.

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Data Career Guide

Data Science, Data Engineering, BI, Machine Learning, and AI. From training to the job market.

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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

How n8n and Automation Open Doors to Premium Jobs

The Paradigm Shift in Web Development

The web development market has matured. A few years ago, mastering a traditional stack (like MERN or LAMP) was enough to secure a highly sought-after role. Today, the corporate landscape — especially in US startups hiring globally and offering six-figure compensation — demands speed and operational efficiency. It's no longer just about building from scratch, but knowing how to integrate complex ecosystems rapidly.

According to Gartner, hyperautomation is one of the top strategic technology trends of the decade. The modern developer must be an integration architect, capable of connecting CRMs, databases, AI APIs, and payment gateways in a matter of hours, not weeks. This is exactly where n8n becomes an indispensable tool in your portfolio.

Why n8n? The Power of "Fair-Code"

n8n is a node-based workflow automation tool. Unlike competitors aimed at non-technical users (such as Zapier or Make), n8n was designed with the developer in mind first. It allows raw JavaScript injection for complex data manipulation, custom HTTP requests, and, most importantly, features a fair-code licensing model that allows it to be self-hosted on a company's own infrastructure.

For technical recruiters and CTOs, a candidate who masters n8n demonstrates maturity. It proves that you understand SaaS cost reduction and value the security and sovereignty of the company's data.

Practical Tips to Land Your Next Role

If you want your resume to pass rigorous ATS (Applicant Tracking System) screening — like Greenhouse or Ashby — and reach the hands of Tech Leads, here are the core skills you should highlight when associating Web Development with n8n:

  • Mastery of Webhooks and RESTful APIs: The foundation of automation is system communication. Demonstrate your ability to create n8n workflows that listen to native Webhooks from your application (e.g., a checkout event in a Next.js e-commerce app) and trigger subsequent actions with low latency.
  • Hosting and Docker: n8n's biggest differentiator is self-hosting. In your resume, mention your ability to package and orchestrate n8n instances using Docker and Docker Compose. Familiarity with Cloud providers (AWS, GCP, or DigitalOcean) to deploy these instances is a massive bonus.
  • Advanced JSON and JavaScript Manipulation: Show that you don't rely solely on pre-built integrations. Using the "Code" node in n8n to transform large JSON payloads using raw JavaScript or TypeScript is what separates a regular user from an automation engineer.
  • Error Handling and Resilience: Systems fail. APIs go down. An amateur automation will break a company's process. In your portfolio, document how you use Error Trigger nodes to build automated retries and send alerts to Slack/Discord when an integration fails.

Your Portfolio is the Ultimate Proof

Just listing "n8n" in the skills section of your resume isn't enough. Create a repository on GitHub containing a real-world use case. For example: export the JSON file of an n8n workflow that reads new leads from a PostgreSQL database, enriches the data using the OpenAI API, and sends them to a CRM. Add a detailed README.md explaining the architecture. This is the ultimate bait for Senior roles.

References and Further Reading