AI / Gen AI Engineer/Architect

Kalpavruksh Systems; Hyderabad, Pune District, Mumbai; Híbrido; INR 1.800.000 - 3.200.000; Jornada completa

Descripción de la vacante

Kalpavruksh Systems is seeking an AI/GenAI Engineer/Architect to lead enterprise-grade AI design and delivery. You will architect LLM and GraphRAG pipelines, build multi-agent systems, and govern AI lifecycles, ensuring scalable, trusted production AI.

Experience with knowledge graphs and GraphRAG is a strong differentiator, with focus across multiple industries and enterprise-scale workloads.

Formación

• Experience architecting GenAI and LLM solutions for enterprise-scale deployments.
• Hands-on with knowledge graphs and GraphRAG patterns.
• Proficient in Python for AI/ML and cloud platforms (AWS/Azure/GCP).
• Strong MLOps and model lifecycle management expertise.
• Familiar with vector stores, embedding pipelines, and governance patterns.

Responsabilidades

• Architect end-to-end GenAI solutions including LLM selection and RAG design.
• Design multi-agent AI systems with role specialization and memory management.
• Define ML lifecycle architecture from development to retraining.
• Integrate knowledge graph and GraphRAG patterns into solutions.
• Establish AI governance with explainability, bias detection, and audits.
• Develop AI reference architectures and accelerators for fast deployment.
• Collaborate with data and enterprise architects to ensure trusted data foundations.

Conocimientos

LLM/GenAI architecture

RAG pipeline design

Python for AI/ML

Cloud AI/ML platforms

MLOps

REST APIs for AI

Feature Store

Vector DB

Multi-agent orchestration

Knowledge graph integration

GraphRAG

AI governance

Embedding evaluation

Data modeling

Ontologies

Data catalogs

Herramientas

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Descripción del empleo

Title: AI / GenAI Engineer/Architect (KG, GraphDB, GraphRAG)

Location: Primary: Hyderabad, Mumbai,Pune

Employment Type: Full-time, Hybrid

Experience : 4-15 yrs

Job Description

We are seeking a visionary AI/GenAI Engineer/Architect to lead the design and delivery of production-grade AI solutions for enterprise clients. You will architect LLM and RAG pipelines, design multi-agent AI systems, oversee the full ML lifecycle, and embed AI governance patterns - ensuring our clients move from AI experimentation to scalable, trusted, production AI. Experience with knowledge graphs and GraphRAG patterns is a strong differentiator in this role. You will deliver AI solutions across Financial Services, Healthcare, Retail, Manufacturing, Technology, Energy, Media, Government, Education, and Hospitality clients, with a particular focus on our Growth & Revenue AI and Finance AI capability areas.

Key Responsibilities

• Architect end-to-end GenAI solutions including LLM selection, RAG pipeline design, prompt engineering frameworks, and retrieval optimization
• Design multi-agent AI systems with role specialization, task decomposition, orchestration, and memory management
• Define ML lifecycle architecture covering model development, evaluation, deployment, monitoring, and retraining pipelines
• Integrate knowledge graph and graph database patterns into GenAI solutions including GraphRAG retrieval architectures
• Establish AI governance frameworks covering model explainability, bias detection, responsible AI policies, and audit trails
• Design AI solutions aligned to our capability areas - Growth & Revenue AI (personalization, demand forecasting, customer intelligence), Finance AI (risk modeling, forecasting, compliance automation), and Legal & HR Next (contract intelligence, workforce analytics)
• Design vector store architectures, embedding pipelines, and hybrid retrieval systems for enterprise-scale AI workloads
• Develop AI solution reference architectures and reusable accelerators for rapid client deployment
• Collaborate with data and enterprise architects to ensure AI architectures are grounded in governed, trusted data foundations

Soft Skills & Culture Fit

Visionary, intellectually curious, pragmatic, client-focused, ethical, cross-functional collaborator, industry-aware

Industry & Domain Exposure

Candidates should have working experience or demonstrable exposure across 2 or more of our served industries: Financial Services, Healthcare & Life Sciences, Retail & Consumer Goods, Manufacturing & Supply Chain, Technology & Telco, Energy & Utilities, Media & Entertainment, Government & Public Sector, Education, or Hospitality & Travel. Familiarity with at least one of our core capability areas - Modern Supply Chain & Operations, Finance AI, Growth & Revenue AI, Legal & HR Next, or Enterprise Office Transformation - is strongly preferred.

Technical Requirements

Must-Have Skills

• Tier 1: LLM/GenAI solution architecture, RAG pipeline design, Python for AI/ML, cloud AI/ML platforms (AWS/Azure/GCP), MLOps and model lifecycle management, REST and event-driven API design for AI services, Feature Store enablement and integrations
• Tier 2: Vector database architecture, multi-agent orchestration frameworks, knowledge graph integration with LLMs, GraphRAG patterns, AI governance and responsible AI frameworks, embedding model evaluation, Data Modeling, Ontologies, Data Catalogs, etc.

Nice-to-Have Skills

Fine-tuning and RLHF experience, agentic security (human-in-the-loop controls), AI observability and drift detection, ontology modeling, semantic search architecture