Description

Key Responsibilities:

• Design, develop, and deploy Generative AI and LLM-powered applications using Python and modern AI/ML frameworks.
• Build AI solutions leveraging LLMs, prompt engineering, RAG (Retrieval-Augmented Generation), embeddings, vector databases, and AI agents.
• Develop scalable Python-based APIs, services, and data pipelines supporting AI and investment technology applications.
• Integrate GenAI capabilities with enterprise data sources, investment platforms, APIs, and internal applications.
• Leverage AWS services to build, deploy, monitor, and scale AI solutions in production.
• Work with investment professionals and Portfolio Managers to identify and prioritize GenAI use cases across research, portfolio management, risk, and operations.
• Build solutions that securely process and retrieve financial and investment-related data.
• Develop evaluation, testing, monitoring, and governance frameworks for LLM/GenAI applications.
• Implement responsible AI practices around security, data privacy, model performance, and access controls.
• Collaborate with global technology teams and stakeholders across New York and London.
• Modernize existing investment technology applications by incorporating AI capabilities and automation.
• Provide technical leadership and mentorship to developers, contractors, and vendor resources.
• Work with vendors and platforms such as BlackRock Aladdin, Snowflake, and other investment technology solutions.
• Continuously identify opportunities to automate manual investment and operational processes using AI.

Required Qualifications:

• 10+ years of professional experience in Asset Management, Investment Banking, Wealth Management, or Financial Services.
• Strong hands-on Python development experience.
• Hands-on experience developing and deploying Generative AI / LLM applications.
• Strong understanding of LLM architectures, prompt engineering, RAG, embeddings, vector databases, and AI agents.
• Experience with AI/ML frameworks and libraries such as LangChain, LlamaIndex, Hugging Face, PyTorch, or TensorFlow.
• Strong experience with AWS cloud services and architecture.
• Experience with services such as S3, Lambda, API Gateway, ECS/EKS, IAM, CloudWatch, Bedrock, or similar AWS technologies.
• Strong experience building REST APIs and enterprise integrations.
• Experience working with SQL, databases, and large financial/investment datasets.
• Experience taking AI solutions from POC/prototype to production.
• Strong understanding of software engineering practices including CI/CD, testing, monitoring, logging, security, and version control.
• Ability to work directly with Portfolio Managers and investment teams and translate business problems into technical solutions.
• Excellent communication and stakeholder-management skills.

Preferred Qualifications:

• Experience building GenAI solutions specifically for Asset Management or Investment Management.
• Knowledge of Portfolio Management Systems (PMS), Order Management Systems (OMS), risk platforms, and investment workflows.
• Experience with BlackRock Aladdin or similar investment platforms.
• Experience with Snowflake and cloud-based data platforms.
• Experience with AWS Bedrock or other managed foundation-model services.
• Knowledge of ETFs, multi-asset portfolios, portfolio analytics, investment research, or trading workflows.
• Experience implementing RAG pipelines over financial documents, research, portfolio data, or investment knowledge bases.
• Familiarity with LLM evaluation, hallucination mitigation, model monitoring, and AI governance

Key Skills

Education

Bachelor's degree