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- США
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- 100 200 $ – 203 400 $
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Generative AI Platform Engineer
Отличная вакансия в престижной компании (Top 100 Glassdoor) с широким диапазоном зарплаты и возможностью работать над критически важными государственными проектами. Высокий балл за стабильность, инвестиции в обучение сотрудников и работу с передовым стеком GenAI.
Сложность вакансии
Высокая сложность обусловлена необходимостью наличия гражданства США и опыта работы в строго регулируемых средах. Требуется не просто знание ИИ, а глубокая экспертиза в SRE, FinOps и инфраструктуре (IaC) для промышленной эксплуатации LLM.
Анализ зарплаты
Предложенный диапазон ($100k - $203k) полностью соответствует рыночным стандартам для AI Platform Engineer в Вашингтоне. Нижняя граница подходит для специалистов среднего уровня, а верхняя — для опытных инженеров с глубокой экспертизой в безопасности и SRE.
Сопроводительное письмо
I am writing to express my strong interest in the Generative AI Platform Engineer position at Accenture Federal Services. With a robust background in Python development and a deep focus on operationalizing Large Language Models, I am excited about the opportunity to help bridge the gap between GenAI prototypes and mission-critical federal applications. My experience in building RAG pipelines and implementing vector search solutions like Milvus and OpenSearch aligns perfectly with your goal of delivering grounded, low-hallucination AI services.
Throughout my career, I have prioritized observability and SRE principles, treating latency, reliability, and cost as first-class citizens in the development lifecycle. I am particularly drawn to AFS because of your commitment to shipping production-grade AI in weeks rather than quarters, while maintaining the highest standards of security and compliance. I am confident that my expertise in Terraform, CI/CD, and FinOps for AI will allow me to contribute immediately to your mission-driven teams and help scale the AFS Advanced AI platform.
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Откликнитесь в accenturefederalservices уже сейчас
Присоединяйтесь к Accenture Federal Services, чтобы создавать надежные ИИ-решения для государственного сектора США и развивать свою карьеру в топовой технологической компании!
Описание вакансии
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!
Build AI that matters. At Accenture Federal Services (AFS), we turn GenAI from demos into operational capabilities that millions rely on. We ship production GenAI apps for confidential federal programs across defense, national security, public safety, civilian, and military health where reliability, privacy, and safety aren’t optional.
AFS is a technology company within global Accenture and a Glassdoor Top 100 Best Place to Work. You’ll join a collaborative, caring community that invests in your growth through hands‑on experience, certifications, and industry training. We ship in weeks, not quarters, and measure success by latency, reliability, safety, and cost.
Confidentiality matters: We don’t disclose program details on public postings. If you advance, we’ll share specifics as appropriate during the process.
Role Overview
- Operationalize LLM/RAG: Stand up and harden AI services (cloud or on‑prem) that ground responses in mission data with low hallucination rates.
- Guardrails & governance: Implement prompt/version management, policy‑based filtering, role‑based access, audit trails, and safety checks aligned to federal guidelines.
- Observability & SRE for AI: Define SLIs/SLOs (quality, latency, safety, cost), instrument metrics, run on‑call, lead postmortems, and reduce MTTR.
- Performance & cost engineering: Optimize p95 latency with caching/batching/autoscaling; meter usage and apply FinOps to keep token/spend within targets.
- Reusable platform components: Ship SDKs, CI/CD templates, and Terraform/IaC modules that accelerate multiple mission teams not one‑off projects.
- Applied theory (where it matters): Use IR metrics (e.g., NDCG) to improve retrieval quality; apply queueing/control principles to hit latency SLOs; run offline/online evals for helpfulness, safety, and factuality.
What you won’t do: Train or invent new foundation models; deliver academic research. Your focus is making best‑in‑class models work flawlessly in production.
You’ll Thrive Here If You
- Own production systems end‑to‑end: Integration → deployment → observability → incident response.
- Are strong in Python
- Have experience with retrieval/vector search (e.g., pgvector/Milvus/OpenSearch) and grounding AI in enterprise data.
- Think in SLOs and dashboards; you improve reliability, latency, safety, and cost with data.
- Communicate clearly with engineers, PMs, and security stakeholders especially in compliance‑heavy environments.
- Must be a US Citizen
Nice to Have
- Experience integrating leading cloud AI services or on‑prem inference stacks Background in evaluation/safety testing or A/B experimentation for AI experiences.
- FinOps for AI: metering, budgets, and optimization strategies for usage and spend.
- Prior work in regulated/secure environments (e.g., FedRAMP‑like controls, ATO processes) with fast shipping.
- Contributions to internal frameworks or open‑source tooling; mentorship of engineers.
- Advanced degree welcome but not required high‑impact delivery matters most.
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is:
$100,200—$203,400 USD
*What We Believe*
As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.
*Equal Employment Opportunity Statement*
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of theAccenture Federal Services Equal Opportunity Policy Statement.
Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
*Requesting An Accommodation*
Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If youare being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.
*Other Employment Statements*
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
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Навыки
- Python
- Generative AI
- LLM
- RAG
- Vector Search
- Milvus
- OpenSearch
- pgvector
- Terraform
- Infrastructure as Code
- CI/CD
- SRE
- FinOps
- Observability
- Cloud Computing
Возможные вопросы на собеседовании
Проверка практического опыта в минимизации галлюцинаций и повышении точности ответов в RAG-системах.
Как вы подходите к оценке качества поиска (retrieval) и какие метрики, такие как NDCG, вы использовали для улучшения релевантности данных?
Оценка навыков управления затратами и производительностью в облачных ИИ-сервисах.
Какие стратегии FinOps вы применяли для оптимизации расходов на токены и управления бюджетом при масштабировании LLM-приложений?
Проверка понимания специфики работы в государственном секторе и соблюдения стандартов безопасности.
Опишите ваш опыт внедрения политик безопасности и контроля доступа (RBAC) в контексте развертывания ИИ-платформ в защищенных средах.
Оценка инженерной зрелости и умения работать с инфраструктурой как кодом.
Как вы проектируете CI/CD пайплайны и модули Terraform для обеспечения быстрой и воспроизводимой доставки ИИ-сервисов?
Проверка навыков SRE и умения работать с инцидентами в реальном времени.
Расскажите о случае, когда вам пришлось оптимизировать p95 latency для высоконагруженного ИИ-сервиса. Какие инструменты мониторинга вы использовали?
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