? BUILD THE NEXT GENERATION OF AI, PAN India Opportunity (Tier 1/Tier 2)

We are hiring across 4 levels for professionals who can build and architect Generative AI, Agentic AI and GCP-based enterprise AI solutions.

- CONSULTANT – AI / GenAI

Experience: 3–5 Years

Must Have

- Strong Python

- Hands-on Generative AI / LLM

- RAG, Embeddings &
- Vector Search

- Prompt Engineering

- LangChain / LlamaIndex / DSPy / Haystack

- Machine Learning fundamentals

- API integration

- Experience with any Cloud platform

Good to Have: Gemini / GPT / Claude / Llama, Vertex AI, LangGraph, Agentic AI, Hugging Face, MLflow, Docker/Kubernetes, NLP/CV/OCR.

Role: Hands-on development of production-ready AI/GenAI solutions, RAG applications, AI agents, integrations and POCs.

- SENIOR CONSULTANT – AI / GenAI / Agentic AI

Experience: 8–9 Years

Must Have

- Solid Python &
- Software Engineering

- Strong Generative AI / LLM expertise

- RAG Architecture

- Vector Databases &

- Embeddings

- AI Agent Architecture &

- Orchestration

- Cloud Architecture – preferably GCP

- ML / Data Engineering understanding

- Enterprise/API Integration

Good to Have: LangGraph, CrewAI, AutoGen, Semantic Kernel, Google ADK, OpenAI Agents SDK, Vertex AI, Gemini, BigQuery, Kubernetes, Terraform, MLflow/Kubeflow, MCP/A2A.

Role: Technical SME responsible for enterprise AI architecture, GenAI/Agentic AI implementations, technical leadership and solution design.

- MANAGER – AI / GenAI / Agentic AI &
- Cloud

Experience: 9–12 Years

Must Have

- Strong AI/ML Generative AI

- Enterprise LLM Architecture

- Agentic AI Architecture





- RAG &
- Enterprise Knowledge Architecture

- GCP / Cloud Architecture

- Strong Python &

- Software Engineering

- AI Governance / Responsible AI

- Solution Architecture

- Technical Leadership &

- Delivery Management

- Client-facing experience

Good to Have: Vertex AI, Gemini, BigQuery, GKE/Kubernetes, Terraform, LangGraph, Google ADK, OpenAI Agents SDK, MCP/A2A, MLOps/LLMOps, AI Security, AI Observability, Enterprise Copilots, Knowledge Graphs.

Role: Lead enterprise AI transformation, architecture, delivery, client engagement and technical teams.

- ASSOCIATE DIRECTOR – AI / GenAI / Agentic AI

Leadership / Architecture Track

Core Requirement

- Enterprise AI / GenAI Transformation

- LLM &
- Agentic AI Architecture

- RAG &

- Enterprise Knowledge Architecture

- GCP AI/Data Architecture

- AI Governance, Security &

- Responsible AI

- AI Transformation Strategy

- AI-native / Multi-Agent Architecture

- AI Operating Model / AI CoE

- Strong Client &

- Stakeholder Management

- Technical Leadership, Delivery &

- Business Growth

Strategic Skills: Agentic Enterprise Architecture, Multi-Agent Operating Models, AI Governance Frameworks, AI Security &

- Privacy, Model Risk Management, AI FinOps, Enterprise Copilots and Autonomous Business Process Transformation.

Role: Drive enterprise AI strategy, architecture, transformation programs, client relationships, large-team leadership and business growth. The supplied Associate Director document currently contains Manager-level content, so this level should be validated before publishing.

📌 GCP GenAI/ AgenticAI || 3 - 12 yrs , PAN India (Bengaluru)
🏢 Spore N Sprouts
📍 Bengaluru