Senior Software Engineer, HR Technology

Your Team Responsibilities:

This is a senior engineering role for someone who has been here before. The Lead Software Engineer, HR Technology is the deepest technical practitioner on the team - the person who sets the bar for what good engineering looks like and raises it through the quality of their own work.

The role is centered on Azure Databricks as MSCI HR Technology's core application and intelligence platform. You will design and build production-grade applications, deploy AI agents, and architect the patterns the rest of the team builds from. You will not manage people. You will influence them by being the engineer others want to work like.

This is a rare opportunity to own the technical direction of a platform that is genuinely early in its trajectory. The HR Data Platform went live in 2025. The agentic layer is being built now. The person in this role will shape how it is done.

Your Key Responsibilities:

Build on Databricks, end to end

Design and deliver production applications on Azure Databricks - Streamlit apps, Databricks Apps, agent workflows - from architecture through deployment

Develop and ship AI agents using Databricks-native tooling including Mosaic AI Agent Framework, vector search, and LLM integrations

Architect and implement gold layer data marts and analytic models within a Unity Catalog medallion environment

Integrate enterprise systems - Workday, iCIMS, ServiceNow - into Databricks-based workflows via REST APIs and MCP

Own the full development lifecycle on the team's highest-complexity initiatives

Lead on agentic AI

Design and implement agentic HR solutions: conversational agents, approval workflow automation, intelligent data retrieval

Integrate LLM APIs - including Anthropic Claude - into production applications through robust, scalable patterns

Build and refine multi-step agent pipelines with tool use, structured outputs, and human-in-the-loop controls

Evaluate and bring in emerging Databricks AI capabilities as the platform evolves - you are expected to know what is coming before it arrives

Set the technical standard

Define and own the engineering patterns, reusable components, and best practices that the broader team builds from

Raise the team's technical floor through code review, pairing, and the quality of what you ship

Contribute to architecture reviews, sprint planning, and backlog prioritization as the technical authority in the room

Collaborate with data engineers and architects to ensure solution engineering builds on a sound data foundation

Engage with the business

Translate requirements from HR Operations, Talent Acquisition, and Compensation into precise technical solutions

Communicate architecture decisions clearly to non-technical stakeholders - without simplifying away what matters

Participate in the HR AI Lab demo series and represent the engineering perspective in stakeholder forums

Your skills and experience that will help you excel:

Required

8+ years of software engineering experience, with at least 3 years of hands-on Databricks development in production environments

Deep fluency in Python, PySpark, and Databricks SQL within a Unity Catalog architecture

Proven track record designing and shipping AI agent workflows - LLM API integration, tool use, prompt engineering - at production scale

Experience building and deploying Databricks Apps or Streamlit applications in an enterprise setting

Strong command of medallion architecture and data modeling best practices

Experience integrating enterprise SaaS platforms via REST APIs

The ability to communicate technical decisions with precision to audiences who did not build the system

Preferred

Experience with Azure-hosted Databricks and Azure DevOps or GitHub Actions CI/CD pipelines

Familiarity with Databricks Mosaic AI, Vector Search, and the Genie / AI/BI product suite

Exposure to MCP (Model Context Protocol) server development and agentic integration patterns

Background in HR technology or enterprise data products

Experience in a regulated or financial services environment

About MSCI:

What we offer you

Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.

Flexible working arrangements, advanced technology, and collaborative workspaces.

A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.

A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.

Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.

Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.

We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.

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