Data Platform Engineer
Posted 8 Oct 2026
Advertised as “Data Platform Engineer officer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- People management
- Contract
- Full-time
No salary listed for this role.
Field of studyArtificial Intelligence, Computer Science, Data Engineering, Machine learning, Software Engineering (or related)
Study levelBachelor's or higher
A highly motivated and hands-on engineer to serve as Senior Agentic AI Engineer. This role will report to the Agentic AI Engineering Lead and will design, build, test, and support production-grade agentic AI solutions and reusable platform capabilities.
Why this role is important to us
Agentic AI is changing how teams automate workflows, access enterprise knowledge, and improve productivity. Successful adoption depends on engineers who can turn business needs into reliable, secure, and scalable AI applications. The Senior Agentic AI Engineer will build intelligent agents and reusable platform components supporting investment research, investment performance, data operations, and related enterprise workflows.
What you will be responsible for
In this role, you will:
-
Design, build, test, deploy, and support production-grade agentic AI applications and services.
-
Develop intelligent agents using large language models, agent frameworks, orchestration workflows, memory, tool calling, and human-in-the-loop patterns.
-
Build and optimize retrieval-augmented generation pipelines using embeddings, vector databases, semantic and hybrid search, metadata, and enterprise content sources.
-
Integrate agents with enterprise APIs, databases, data platforms, workflow tools, and business applications.
-
Develop reusable services, libraries, templates, and engineering accelerators that improve the speed and consistency of AI solution delivery.
-
Implement prompt and agent evaluation, guardrails, monitoring, observability, tracing, reliability controls, and cost-management practices.
-
Contribute to CI/CD, automated testing, AgentOps, LLMOps, security scanning, and production-readiness activities.
-
Work with platform and data engineering teams to integrate agentic AI capabilities with cloud, Lakehouse, knowledge, and data services.
-
Collaborate with product owners, business users, architects, governance teams, and security partners to translate requirements into practical solutions.
-
Participate in design and code reviews, document technical decisions, and contribute to platform standards and reference implementations.
-
Mentor less-experienced engineers and share engineering practices across the team.
What we value
These skills will help you succeed in this role: