Sr. AI Engineer Data Pipelines & Context Systems

At Reltio an SAP Company we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltios cloud-native SaaS platform harmonizes unifies and governs data across sources and formatsincluding unstructured datain real time turning them into data assets that can be mobilized in milliseconds to any application user or AI agent. Trusted by more than 200 of the worlds largest brands across industries such as life sciences financial services healthcare and technology we fuel frictionless operations and help enterprises accelerate innovation and reduce risk.

At Reltio our values guide everything we do. With an unyielding commitment to prioritizing our Customer First we strive to ensure their success. We embrace our differences and are Better Together as One Reltio. We are always looking to Simplify and Share our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We Own It. Every day we innovate and evolve so that today is Always Better Than Yesterday. If you share and embody these values we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and industry and analyst recognition for our technology our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If youre ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data lets talk!

We are building a highly specialized Enterprise AI Hub to engineer the Reltio Brain - a Context Intelligence Operating System that transforms fragmented institutional knowledge into governed autonomous action. As the Sr. AI Engineer (Data Pipelines & Context Systems) you will build the governed data context and tooling layer that allows Reltio AI systems and embedded AI Business Partners to work safely across enterprise knowledge. This role is centered on data pipeline management context organization retrieval quality and model/tool harnesses. You will connect structured and unstructured sources maintain freshness and access controls and create reusable MCP/API-style tools that let AI workflows use the right data with clear provenance. This is not primarily a front-end/UI role. You may build lightweight internal surfaces for review administration and workflow handoffs but the center of gravity is the data and context foundation behind those experiences: ingestion indexing permissions source trust evaluation and operational reliability.

AI Data Pipeline & Context Architecture

• Design and implement production-grade pipelines that ingest normalize enrich and synchronize structured and unstructured enterprise data from sources such as Reltio/MDM Google Workspace Slack Jira/Confluence transcripts product systems and operational datasets.
• Build patterns for incremental indexing and vector updates so AI systems can refresh only what changed while preserving lineage permissions and source metadata.
• Model context boundaries across personal team departmental and enterprise layers so AI systems understand where information came from why it matters and who can access it.

Governed MCP/API Tooling:

• Build secure MCP/API-style tools and services that expose enterprise data and actions to LLM workflows with clear schemas guardrails and audit trails.
• Implement OAuth/SSO RBAC/ABAC tenant boundaries and server-side permission checks so retrieval and tool execution respect enterprise access controls.
• Create reusable connectors and adapters for AI Business Partner workflows starting with pragmatic first versions that can be operated handed off and improved.

Retrieval Indexing & Source Trust:

• Design RAG/retrieval systems that combine semantic search keyword search metadata filters reranking and structured queries to assemble reliable context.
• Define chunking embedding tagging and provenance strategies that make responses traceable back to source documents records transcripts or systems of record.
• Monitor freshness data quality duplicate or stale content hallucination risk and missing-context failure modes.

Model / Tool Harnesses & Evaluation:

• Build harnesses for testing prompts retrieval pipelines tool calls structured outputs and agentic workflows before they are used in production.
• Create evaluation datasets acceptance criteria observability and regression checks for context quality tool accuracy latency cost and safety.
• Use modern AI coding assistants such as Codex Claude Code and Cursor to accelerate implementation while maintaining engineering discipline security and review standards.

Human-in-the-Loop Operations:

• Build review approval rollback and exception-handling workflows for high-impact AI actions and sensitive data usage.
• Create admin and debugging tools that let operators inspect source context tool decisions access rules and pipeline status.
• Partner with AI Business Partners Security Product Data and Engineering teams to translate business workflows into durable governed AI capabilities.

Reusable Enterprise Patterns:

• Identify technical components that can be reused by Enterprise AI Product and partner teams including connectors context services evaluation harnesses and governance patterns.
• Document implementation patterns clearly enough for stakeholders and engineering teams to understand operate and extend them.
• Bootstrap first versions in partnership with existing P&T and Enterprise AI teams then help define the path to ownership scale and product alignment.

• 5 years of software backend data platform or AI engineering experience building production data systems internal platforms or AI-enabled systems.
• Strong proficiency in Python and/or TypeScript/ with experience designing APIs services async jobs data models and integrations.
• Hands-on experience with data ingestion transformation synchronization and operational data pipelines across multiple source systems.
• Practical experience with RAG/retrieval systems including embeddings vector/search stores chunking metadata filtering hybrid search reranking citations/source provenance and incremental updates.
• Experience building with LLM tool calling agents structured outputs schema validation and MCP-style or function/API-based tool layers.
• Strong understanding of enterprise identity access control and data governance including OAuth/SSO RBAC/ABAC privacy auditability and secure handling of sensitive information.
• Ability to design evaluation harnesses and operational checks for retrieval quality model/tool accuracy latency cost freshness and regression risk.
• Strong judgment with AI-assisted development tools such as Codex Claude Code and Cursor using them to accelerate delivery while validating generated code and decisions.
• Clear communication with technical and business stakeholders; able to explain data flow context quality risk and tradeoffs in practical language.

• Familiarity with Reltio MDM master data management data governance knowledge graphs or customer/product data domains.
• Experience with enterprise search/vector infrastructure such as OpenSearch Pinecone pgvector Bedrock Knowledge Bases or similar platforms.
• Experience integrating with Google Workspace Slack Jira Confluence Salesforce NetSuite data warehouses or other enterprise platforms.
• Front-end experience with React Vercel or internal admin/review tools; enough to build simple surfaces that expose pipeline state and support human review.
• Experience with workflow orchestration approval systems event-driven architectures queues batch/stream processing Docker/Kubernetes infrastructure as code or observability stacks.
• Experience in a 500-2000 employee SaaS company or similar scale.

Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.