Bengaluru, Karnataka
Job Summary

We are seeking an experienced AI Solution Architect to design, lead, and govern enterprise-scale AI solutions leveraging Generative AI, Agentic AI, and contemporary AI orchestration frameworks. The ideal candidate should possess strong expertise in AI architecture, Large Language Models (LLMs), AI governance, cloud AI platforms, and emerging AI development paradigms including Vibe Coding .

The role involves architecting scalable AI solutions using Vertex AI or Azure AI Foundry , building agentic workflows with LangGraph , defining AI governance controls, and enabling secure enterprise AI adoption while balancing innovation, risk, compliance, and business value

Key Responsibilities

AI Solution Architecture

Design end-to-end GenAI and Agentic AI solutions aligned to enterprise business objectives.
Define scalable AI reference architectures, integration patterns, and deployment strategies.
Lead architecture reviews and technology decisions for AI platforms and toolchains.
Drive enterprise adoption of AI-first engineering and AI-assisted development practices.

Agentic AI & Orchestration

Architect multi-agent and agentic workflows using LangGraph .
Design deterministic and non-deterministic orchestration strategies.
Implement workflow routing, tool calling, memory management, and reasoning chains.
Define human-in-the-loop approval and exception handling mechanisms.

LLM & Knowledge Architecture

Design Retrieval Augmented Generation (RAG) solutions.

Build and govern:
Knowledge Stores
Context Stores
Vector Databases
Semantic Search Frameworks
Define prompt engineering standards, prompt lifecycle management, and evaluation frameworks.
Optimize AI systems for accuracy, latency, cost, and explainability.

AI Platform Engineering

Architect solutions using:
Google Vertex AI OR
Azure AI Foundry

Design AI platform capabilities including:
Model hosting
Prompt management




Model gateway
AI observability
Safety guardrails
LLMOps practices

Vibe Coding Leadership

Drive adoption of AI-assisted development and Vibe Coding practices.

Define patterns for:
AI-assisted software development
Automated code generation
Agent-assisted testing
AI code review
Development productivity measurement
Establish governance and quality controls for AI-generated code.

Governance, Risk & Compliance

Define Responsible AI frameworks and governance controls.
Conduct AI risk assessments and model risk reviews.

Implement controls for:
Data privacy
Security
Compliance
Hallucination mitigation
Prompt injection protection
Model monitoring
Human oversight

Ensure adherence to enterprise AI governance policies and regulatory requirements

Skill Requirements

AI & GenAI Platforms

Azure AI Foundry or Google Vertex AI
Azure OpenAI / Gemini / OpenAI ecosystem
AI Model Deployment and LLMOps

Agentic Frameworks

LangGraph
LangSmith
LangChain
Semantic Kernel (preferred)

LLM Engineering

Prompt Engineering
Prompt Optimization
Model Evaluation
RAG Architecture
Embeddings
Vector Databases

Knowledge & Context Management

Knowledge Store Architecture
Context Engineering
Memory Management
Semantic Search
Vector Search

AI Orchestration

Deterministic Workflows
Non-Deterministic Agent Workflows
Multi-Agent Architecture
Human-in-the-Loop Controls

Cloud & Engineering

Python
APIs & Microservices
Kubernetes
Docker
CI/CD
GitHub / Azure DevOps

Governance & Risk

Responsible AI
AI Governance Frameworks
AI Risk Management
Regulatory Compliance
Security & Privacy Controls
AI Auditability

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📌 Senior Technical Specialist (India)
🏢 HCLTech
📍 India