🚀 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:
- Strong 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.