What are the responsibilities and job description for the Enterprise AI Data & Integration Engineer position at Landing Point?
Company Overview:
A global software investor with over $90 billion in assets under management is seeking an Enterprise AI Data & Integration Engineer to join their Business Systems & Data Engineering team. This role will focus on designing data pipelines, intelligent automations, and AI-powered analytics to enhance decision-making processes.
Job Responsibilities:
The post Enterprise AI Data & Integration Engineer appeared first on Landing Point.
A global software investor with over $90 billion in assets under management is seeking an Enterprise AI Data & Integration Engineer to join their Business Systems & Data Engineering team. This role will focus on designing data pipelines, intelligent automations, and AI-powered analytics to enhance decision-making processes.
Job Responsibilities:
- Build and maintain cross-system data integrations using low-code and programmatic frameworks (Workato, Power Automate, Python, SQL).
- Develop AI-assisted analytics workflows using LLMs and agents to extract, enrich, and summarize data.
- Design and orchestrate data pipelines blending structured and unstructured data sources.
- Partner with engineering teams to automate testing, data validation, deployment, and monitoring of analytics workflows.
- Collaborate with analysts and stakeholders to design automated solutions delivering measurable insights.
- Prototype and productionize AI-driven data tools, including custom GPTs or Claude Skills.
- Document, govern, and scale best practices for automation and data reliability.
- Stay ahead of emerging tech in AI analytics, multi-agent systems, and data engineering.
- 7 years of experience in data engineering, analytics automation, or systems integration.
- Strong proficiency in SQL, Python, and/or low-code iPaaS tools (Workato, Power Automate).
- Experience building data pipelines and ETL/ELT workflows, integrating multiple enterprise systems.
- Solid understanding of APIs, webhooks, and system integration design patterns.
- Bachelor’s degree in computer science, data engineering, information systems, or equivalent experience.
- Experience using LLM frameworks (LangChain, CrewAI, Claude Skills, OpenAI API).
- Familiarity with data warehouses (Snowflake, Redshift, BigQuery) and BI tools (Looker, Power BI, Tableau).
- Hands-on experience with analytics engineering practices (dbt, Airflow, CI/CD for data pipelines).
- Understanding of agent architectures and multi-agent orchestration frameworks.
- Experience in financial services, PE/VC, or other data-rich, high-velocity environments.
- Exposure to data observability, monitoring, or quality frameworks.
The post Enterprise AI Data & Integration Engineer appeared first on Landing Point.
Salary : $150,000 - $240,000