Ernst and Young

Government and Infrastructure - AI & Data - GenAI Developer - Manager

Ernst and Young
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19 days ago
McLean, VA, USAStaff+
H1B sponsor

Base Salary

$126k - $262k/yr

Responsibilities

  • Design, architect, develop, maintain, and optimize scalable web applications that leverage generative AI models.
  • Build solutions that ingest, process, unify, enrich, and analyze large and disparate datasets.
  • Integrate generative AI models into web-based products using APIs or fine-tuned models.
  • Deploy applications on cloud platforms and recommend or build data platforms to meet business requirements.
  • Collaborate with designers, product managers, and AI/ML engineers to create intelligent user experiences.
  • Write tests, participate in code reviews, and ensure quality and product excellence.
  • Apply machine learning, statistical modeling, data mining, ETL, data ingestion, cleansing, and engineering techniques.
  • Develop recommendation engines, scoring systems, predictive models, and A/B testing solutions.
  • Communicate findings, recommendations, and opportunities for improving data systems and solutions.
  • Teach data science concepts, tools, and approaches while evaluating emerging methodologies and technologies.
  • Connect technology solutions to business outcomes using data-driven KPIs and collaborate with clients and stakeholders.

Requirements

  • Bachelor's degree required.
  • Must be eligible to obtain and maintain a Secret Clearance.
  • At least 6–8+ years of relevant professional experience, including modern web development and backend development.
  • At least 2 years of generative AI experience and understanding of statistical modeling, ETL, data ingestion and cleansing, and data engineering.
  • Experience with JavaScript or TypeScript, modern web frameworks, backend development, generative AI integration, and cloud deployment.
  • Experience with machine learning techniques including k-NN, naive Bayes, decision trees, and SVM.
  • Experience with data mining and statistical tools, pattern recognition, predictive modeling, recommendation engines, scoring systems, and A/B testing.
  • Experience using tools or libraries such as Weka, NumPy, PyMongo, and R.
  • Hands-on experience with big data technologies in Hadoop, AWS, or Microsoft ecosystems.
  • Comfort working in person as needed.
  • Preferred education includes a bachelor's degree or higher in mathematics, information systems, statistics, computer science, or a related discipline.

Benefits

  • Base salary ranges from $125,500 to $230,200 in other U.S. locations, $150,700 to $251,200 in New York City, Boston, Washington DC Metro, Washington State, and Southern California, and $157,100 to $261,600 in Bay Area California offices.
  • Medical and dental coverage, pension, and 401(k) plans.
  • Flexible vacation, paid holidays, winter and summer breaks, personal and family care leave, and other leave options.
  • Applications are accepted on an ongoing basis.
  • The role requires working in person as needed.

Tech Stack

Apache HadoopAWSAzureFastAPIJavaScriptNext.jsNumPyPythonRReactSvelteTypeScriptVercelVue.js
Ernst and Young

About Ernst and Young

10,000+ employees

Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.

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