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Apollo Global

Invests client and insurance money in private credit

Applied AI Engineering Lead

Engineering LeadershipPosted on Nov 11
Full-timeAustin, TX, USA

About the Job

Requirements

  • At least 10 years of experience in software engineering, machine learning engineering, or applied AI, including significant experience delivering production AI systems in complex enterprises.
  • Demonstrated leadership experience managing engineering teams in financial services, asset management, banking, insurance, or similarly regulated environments.
  • Deep expertise in Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, and LlamaIndex, or similar frameworks.
  • Demonstrated experience deploying LLM-powered applications in production, including RAG architectures, vector databases, prompt engineering, and API orchestration.
  • Strong understanding of distributed systems, data engineering pipelines, and cloud-native architectures such as AWS, Azure, or GCP.
  • Proven experience implementing MLOps best practices, including model versioning, CI/CD, monitoring, and performance optimization.
  • Proven ability to partner effectively with senior business stakeholders and translate technical concepts into practical applications.
  • A bachelor's degree in computer science, engineering, mathematics, or a related technical discipline; equivalent experience may also be considered.

Responsibilities

  • Lead the engineering design, build, and deployment of AI platforms, including LLM infrastructure, RAG frameworks, model orchestration layers, and secure API services.
  • Oversee the end-to-end AI development lifecycle, including data ingestion, feature engineering, model integration, testing, validation, monitoring, and production support.
  • Write production-grade code, primarily in Python, and establish engineering standards for maintainability, performance, and security.
  • Lead the full AI system lifecycle, including data ingestion, preprocessing, feature engineering, model integration, evaluation, deployment, monitoring, and optimization.
  • Evaluate, fine-tune, and deploy foundation models; implement vector databases and embedding pipelines; and optimize prompt engineering and context management strategies.
  • Establish engineering best practices for MLOps, version control, model observability, drift detection, explainability, and lifecycle management.
  • Partner with Cybersecurity, Infrastructure, Data, Risk, and Legal & Compliance teams to ensure AI systems meet regulatory, data privacy, and information security standards.
  • Evaluate and implement third-party AI technologies and cloud services where appropriate, balancing build-versus-buy decisions with long-term strategic value.
  • Mentor and develop a team of AI engineers and applied data scientists, fostering technical rigor, intellectual curiosity, and accountability.
  • Stay abreast of advancements in machine learning, generative AI, and enterprise AI tooling, applying emerging capabilities in a disciplined and commercially pragmatic manner.

Desired Qualifications

  • An advanced degree or equivalent experience.
  • Experience supporting alternative asset managers, global investment banks, insurance platforms, or large institutional investors.
  • Demonstrated success delivering AI-enabled tools for investment research, document intelligence, financial modeling, or workflow automation.
  • Familiarity with foundation model fine-tuning, vector databases, knowledge graph integration, and enterprise search architectures.
  • Experience scaling small, high-impact engineering teams within fast-growing organizations.
  • External engagement in the AI community, including publications, open-source contributions, or industry speaking engagements.

About the Company

Apollo Global

Invests client and insurance money in private credit

Apollo Global Management invests money for pension funds, insurers, wealthy individuals and its own retirement business, with most of its assets in private credit, meaning loans arranged directly with companies rather than bought on public markets. It also runs private equity and real estate funds, and its buyout teams have a long record of backing troubled or complex companies. Apollo owns Athene, a retirement insurer that sells annuities and gives the premiums to Apollo to invest, so the firm earns fees from clients plus the spread between Athene's investment returns and what it pays policyholders. Apollo was founded in 1990 and is based in New York.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1990

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