Staff AI Platform Engineer (Bengaluru)

Staff AI Platform Engineer (Bengaluru)

06 Aug
|
Top Gen AI Jobs
|
Bengaluru

06 Aug

Top Gen AI Jobs

Bengaluru

Home/Jobs/Staff AI Platform Engineer

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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📌 Staff AI Platform Engineer (Bengaluru)
🏢 Top Gen AI Jobs
📍 Bengaluru

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