Senior AI Architect with Generative AI, NLP & AI Security

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.

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.

Required Qualifications-

- 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

Key Responsibilities:

- 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

Partner with enterprise clients to design and deploy secure, scalable AI solutions for contact centers