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- 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

- Robust 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