Job Summary The Staff 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 such as, agent orchestration, vector search, LLM interfaces, and observability and security frameworks that allow product teams to deliver reliable AI features quickly and safely.

The Lead

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 Lead

Engineer will apply strong technical judgement, contribute to platform design decisions, and help evolve shared AI infrastructure that accelerates innovation while maintaining trust, reliability, and compliance.

Essential Job

Functions

Design and build orchestration layers for LLM workflows and multi-step agent pipelines (tool use, retrieval, grounding, function calling), with explicit 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%)

Integrate logging, tracing (e.g., OpenTelemetry), metrics, prompt/response analytics, eval pipelines (quality, toxicity, hallucination), and SLO dashboards.

- (10%)

Enforce data classification, redaction, PII controls, prompt injection defenses, content filtering, secrets management,



and policy-as-code for model/endpoint access.

- (10%)

IaC (Terraform/CDK), CI/CD for model and prompt artifacts, setting 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%)

Participate in on-call rotations, root-cause analysis, and continuous improvement of performance, reliability, and developer experience.

- (10%) Minimum Qualifications

Bachelor’s Degree in Computer Science, Engineering, or related field of study or equivalent, relevant work experience

8+ years of overall software engineering experience.

3+ years of experience building AI platform components.

4+ years of experience implementing LLM-based services: prompt templates, tool/function calling, retrieval-augmented generation, and rate/latency management.

Preferred

Qualifications

Master’s Degree in Computer Science, Engineering, or related field of study or equivalent, relevant work experience

AWS Cloud Practitioner Certification.

8+ years of software engineering experience.

4+ years of experience building AI platform components.

4+ years of experience implementing LLM-based services: prompt templates, tool/function calling, retrieval-augmented generation, and rate/latency management. Skills

Amazon Aurora

AWS Cloud Computing

AWS Elastic Kubernetes Service (EKS)

AWS Key Management Service (KMS)

HashiCorp Vault

GitHub Actions

Prometheus (Software)

Python (Programming Language)

OpenSearch (Software)

Telemetry

Terraform

TypeScript Reports To: Manager and above Direct Reports: 0

📌 Staff AI Engineer - Data Platform (Bengaluru)
🏢 Bread Financial
📍 Bengaluru