AI Architect with Generative AI, NLP & AI Security

Ritwik Infotech
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Java
Artificial Intelligence
Computer Clusters
Computer Programming
Distributed Computing Environment
Distributed Systems
Intrusion Detection and Prevention
Python
Knowledge-Based Systems
Open Web Application Security
Performance Tuning
TensorFlow
Search Technologies
AI Infrastructure
PyTorch
Large Language Models
Multi-Agent Systems
IT Architecture
Mitre Att&ck
Generative AI
AI Platforms
Low Latency
HuggingFace

Job description

We are seeking a Senior AI Architect with Generative AI, NLP & AI Security to lead the design and deployment of next-generation AI platforms powering intelligent customer experiences. This role will drive innovation across LLM-based conversational AI, agent assist systems, autonomous CX workflows, and secure AI governance frameworks, enabling scalable, secure, and human-like interactions across global enterprises., AI Architecture & Strategy:

Define and lead the architecture of enterprise-scale LLM-driven conversational AI platforms

Design advanced RAG and GraphRAG-based knowledge systems for customer support and agent assist

Architect low-latency, high-throughput inference systems for real-time interactions

Design secure AI infrastructure aligned with enterprise AI governance standards

  • Generative AI & NLP Systems:

Build and optimize LLM pipelines, including fine-tuning (LoRA, QLoRA) and prompt orchestration

Develop multi-agent AI systems for autonomous customer workflows and decision intelligence

Implement semantic search, hybrid retrieval, contextual reasoning, and vector search using Weaviate

Design multimodal AI capabilities (text, voice, chat)

  • AI Security, Safety, Alignment & Governance:

Develop and deploy RLHF pipelines, guardrails, hallucination mitigation, and prompt injection defense frameworks

Implement AI security controls using Orca Security and Lakera

Apply OWASP LLM Top 10 and AI security best practices

Perform threat modeling and adversarial testing aligned with MITRE ATT&CK methodologies

Create and maintain detection rules using YARA

Establish Responsible AI practices, including fairness, explainability, compliance, and governance

  • Scalability & Performance Optimization:

Architect distributed training and inference pipelines across GPU clusters

Optimize model performance using quantization, mixed precision (FP16/BF16), and MoE architectures

Reduce latency and cost using frameworks like vLLM, Triton, and Ray

  • Leadership & Collaboration:

Lead and mentor teams of AI engineers, researchers, architects, and AI security specialists

Collaborate with product, engineering, security, and CX teams to deliver AI-powered solutions

Requirements

15+ years of experience in AI/ML, NLP, distributed systems, or enterprise AI architecture with 5+ years working with Generative AI and LLM-based systems

  • Strong expertise in: GraphRAG architectures (not just RAG), RLHF and alignment systems, Multi-agent AI systems, Distributed training and inference, AI security, governance, and threat detection frameworks.

  • Candidate must have experience on Tools & Framework - Orca, Lakera, OWASP, YARA, MITRE ATT&CK, Weaviate

  • Proven experience building production-grade AI platforms at scale

  • Strong programming skills in Python, Scala, or Java

  • Experience with PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or similar AI orchestration frameworks

About the company

You will play a critical role in shaping the future of AI-driven contact center platforms by combining Generative AI, GraphRAG, RLHF, multi-agent systems, AI security frameworks, and vector intelligence platforms to deliver highly personalized, context-aware, and trustworthy customer interactions.

Apply for this position