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Staff AI Platform Engineer
Bread Financial
Bengaluru
8+ years
Today
$59.0K–73.5K/yr
Full-time
Hybrid
Skills Required LLM
RAG
Gen AI
Agentic AI
Azure OpenAI
Embeddings
OpenTelemetry
Bedrock
Chroma
OpenSearch
Amazon Aurora
AWS Cloud Computing
AWS Elastic Kubernetes Service (EKS)
AWS Key Management Service (KMS)
HashiCorp Vault
Description Bread Financial is hiring a Lead Data Platform Agentic AI Engineer to design and build secure, scalable GenAI and Agentic AI platform capabilities. The role focuses on foundational services that help product teams deliver reliable AI features quickly and safely.
Company: Bread Financial
Role: Lead Data Platform Agentic AI Engineer
Location: Hybrid, 6-8 days per month in office
Experience
- 8+ years of overall software engineering experience
- 3+ years of experience building AI platform components
- 4+ years of experience implementing LLM-based services
- Experience with prompt templates, tool/function calling, retrieval-augmented generation, and rate/latency management
Qualification
- Bachelor’s Degree in Computer Science, Engineering, or related field of study or equivalent relevant work experience
Responsibilities
- Design and build orchestration layers for LLM workflows and multi-step agent pipelines
- Develop core platform capabilities for secure, scalable GenAI and Agentic AI solutions
- Implement vector data infrastructure including indexing strategies, embeddings management, RAG patterns, and data lifecycle controls
- Develop LLM interfaces and SDKs that abstract providers, standardize prompts, and enable guardrails
- Integrate logging, tracing, metrics,
prompt/response analytics, eval pipelines, and SLO dashboards
- Enforce security and governance controls for model and endpoint access
- Use robust technical judgement and contribute to platform design decisions
- Work closely with platform, security, and application teams
- Productionize new capabilities and drive platform adoption through documentation, templates, and enablement
Additional Responsibilities
- Ensure platform components are production-ready, well-governed, and aligned to enterprise standards
- Participate in on-call rotations
- Perform root-cause analysis
- Continuously improve performance, reliability, and developer experience
- Implement IaC, CI/CD for model and prompt artifacts, environment promotion, and cost monitoring/optimization
Nice To Have
- 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
More Skills Agent orchestration, Vector search, LLM interfaces, Observability, Security frameworks, Embeddings management, RAG patterns, Azure/OpenAI, Data classification, Redaction, PII controls, Prompt injection defenses, Content filtering, Secrets management,
Policy-as-code, Terraform, CDK, CI/CD, GitHub Actions, Prometheus, Python, Telemetry, TypeScript
Other
- Reports To: Manager and above
- Direct Reports: 0
- Normal office environment
- Hybrid work model with
- Job Family: Data and Analytics
- Job Type: Regular
- All job offers are contingent upon successful completion of credit and background checks
- Equal Opportunity Employer
- Bread Financial is a tech-forward financial services company
- Bread Financial has been consistently recognized as a best place to work nationally and in many markets
- Offers benefits and opportunities for career development and non-traditional career progression
- Bread Financial marks 30 years of success in 2026
Prepare for this role Recommended resources to build the skills for this position. Sponsored.
Generative AI with Large Language Models
Coursera
Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.
Introduction to Generative AI
Coursera
Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.
Large Language Models: Application through Production edX
Production-focused LLM course covering deployment, monitoring, and scaling.
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