Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
PwC

Data Developer – Manager

PwC

AI Solution Developer responsible for designing and deploying modular AI solutions. Utilizing advanced AI technologies to deliver scalable solutions within client environments.

Posted 7/8/2026full-timeBangalore • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in designing and deploying modular AI solutions, with a strong focus on Python programming, AI frameworks, and integration with enterprise tools. Proven ability to manage the full lifecycle of AI projects from proof of concept to production deployment.

Highest-signal resume keywords
AI Solution DesignPython ProgrammingRAG PipelinesMicroservices DevelopmentCloud Experience with Azure

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PythonAI FrameworksRAG PipelinesMicroservicesEmbedding ModelsKnowledge GraphsVector DatabasesTelemetry ImplementationPrompt DesignModel Context Protocol
Soft Skills
MentoringTeam Leadership
Tools & Technologies
LangChainTransformersOpenAI SDKFastAPIFlaskPineconeChromaApache JenaSPARQLAzure
Industry Keywords
AI SolutionsEnterprise IntegrationData PipelinesAPIsChatbots

Tech Stack

Tools & technologies
ApacheAzureCloudFlaskMicroservicesPython

About the role

Key responsibilities & impact
  • Design, develop, and deploy modular AI solutions using LLMs, RAG pipelines, and microservices
  • Build scalable, reusable “AI-in-a Box” accelerators for enterprise use cases
  • Develop APIs and AI agents for use cases such as summarization, Q&A, and chatbots
  • Define end-to-end solution architecture including ingestion, retrieval, orchestration, and deployment
  • Ensure modular, extensible, and production-ready design
  • Manage the full lifecycle from PoC to production deployment and optimization
  • Build data pipelines to ingest content from platforms like SharePoint and enterprise databases
  • Integrate AI solutions with enterprise tools such as Outlook, Teams, and Salesforce
  • Implement telemetry, logging, and evaluation frameworks
  • Mentor and guide junior team members

Requirements

What you’ll need
  • 8–10 years of experience with demonstrated expertise in leading AI solution design, architecture, and delivery
  • Strong Python skills with experience in AI frameworks (LangChain, Transformers, OpenAI SDK, LLaMA APIs)
  • Hands-on experience with RAG pipelines, embeddings, and prompt design
  • Familiarity with Knowledge Graphs (Apache Jena, SPARQL)
  • Experience with Vector Databases (Pinecone, Chroma, etc.)
  • Knowledge of embedding models (OpenAI Ada, Cohere, BGE/E5) and reranking techniques
  • Experience building microservices (FastAPI, Flask)
  • Exposure to multi-agent frameworks (LangGraph, CrewAI, AutoGen)
  • Understanding of Model Context Protocol (MCP)
  • Cloud experience with Azure (AKS, App Service, ACI) and DevOps tools
  • Integration experience with enterprise platforms (Outlook, Teams, Salesforce)

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development