Senior Data Platform Agentic AI Engineer

Job Summary

The Senior Data Platform Agentic AI Engineer will design and build core platform capabilities that enable secure, scalable GenAI and Agentic AI solutions across Bread Financial. This role will develop foundational services: agent orchestration, vector search, LLM interfaces, and observability and security frameworks that allow product teams to deliver reliable AI features quickly and safely. The Senior Engineer will work closely with platform, security, and application teams, ensuring AI platform components are production-ready, well-governed, and aligned to enterprise standards. The Senior Engineer applies strong technical judgement, contributes to platform design decisions, and helps evolve shared AI infrastructure that accelerates innovation while maintaining trust, reliability, and compliance.

Essential Job Functions

• Design & build orchestration layers for LLM workflows and multi-step agent pipelines (tool use, retrieval, grounding, function calling), with clear SLAs, retries, rate limiting, and tracing. - (20%)
• Implement vector data infrastructure (e.g. Chroma, OpenSearch) including indexing strategies, embeddings management, RAG patterns, and data lifecycle controls. - (15%)
• Develop LLM interfaces & SDKs that abstract providers (Bedrock, Azure/OpenAI, etc.), standardize prompts, enable guardrails, and support evaluation harnesses and A/B testing. - (15%)
• Observability & reliability: integrate logging, tracing (e.g., OpenTelemetry), metrics, prompt/response analytics, eval pipelines (quality, toxicity, hallucination), and SLO dashboards. - (10%)
• Security & governance: enforce data classification, redaction, PII controls, prompt injection defences, content filtering, secrets management, and policy-as-code for model/endpoint access. - (10%)
• Platform automation: IaC (Terraform/CDK), CI/CD for model and prompt artifacts, environment promotion, and cost monitoring/optimization. - (10%)
• Partner with cross-functional teams (data engineering, security, product) to productionize new capabilities and drive platform adoption through documentation, templates, and enablement. - (10%)
• Support & hardening: participate in on-call rotations, root-cause analysis, and continuous improvement of performance, reliability, and developer experience. - (10%)

Minimum Qualifications

• Bachelors Degree Computer Science, Engineering or related field of study or equivalent, relevant work experience
• AWS Cloud Practitioner Certification
• 5+ years of overall software engineering experience, including at least 12 years building AI platform components.
• 2+ years implementing LLM-based services: prompt templates, tool/function calling, retrieval-augmented generation, and rate/latency management.

Preferred Qualifications

• Masters Degree Computer Science, Engineering or related field of study or equivalent, relevant work experience
• 6+ years overall software engineering experience
• 3+ years experience building AI platform components
• 3+ years experience implementing LLM-based services: prompt templates, tool/function calling, retrieval-augmented generation, and rate/latency management.