Senior Generative AI Architect
Enterprise AI | Agentic AI | LLM Systems | Automation Architecture
We are looking for an exceptional Senior Generative AI Architect to lead the design and deployment of next-generation AI ecosystems that drive real business transformation.
This is not just an AI integration role.
We are seeking someone who can architect scalable, enterprise-grade AI systems powered by Generative AI, Agentic AI, automation frameworks, and intelligent orchestration platforms.
If you are passionate about building production-ready AI platforms, autonomous agent systems, intelligent automation pipelines, and scalable cloud-native architectures, this role offers an opportunity to shape the future of enterprise AI adoption.
Key Responsibilities
AI Architecture & Strategy
- Define end-to-end architecture for enterprise Generative AI platforms
- Design scalable multi-agent AI systems and orchestration frameworks
- Build reusable AI architecture blueprints for enterprise deployments
- Lead architectural decisions across RAG pipelines, fine-tuning, and hybrid AI systems
- Align AI initiatives with scalability, business KPIs, and ROI objectives
Generative AI & LLM Engineering
- Architect solutions using OpenAI, Claude, LLaMA, Mistral, and open-source ecosystems
- Design and optimise Retrieval-Augmented Generation (RAG) pipelines
- Implement prompt engineering, evaluation frameworks, and fine-tuning workflows
- Build multi-modal AI systems involving text, voice, image, and video intelligence
Agentic AI & Autonomous Systems
- Develop autonomous agent-based systems using LangChain, CrewAI, AutoGPT, or similar frameworks
- Build multi-agent orchestration pipelines with dynamic task delegation
- Create intelligent, self-improving AI workflows with human-in-the-loop systems
- Implement feedback-driven and goal-oriented AI execution models
Automation & Enterprise Integration
- Design intelligent automation systems using UiPath, Make.com, Zapier, or similar platforms
- Integrate AI systems with CRM, ERP, HRMS, and enterprise applications
- Automate business workflows across sales, operations, support, and customer experience
- Build AI-powered workflow orchestration and decision engines
Infrastructure & Cloud Architecture
- Architect scalable AI infrastructure on AWS, GCP, or Azure
- Design distributed systems, event-driven architectures, and microservices
- Build containerised deployments using Docker and Kubernetes
- Ensure high availability, performance optimisation, and fault tolerance
AI Governance & Security
- Establish AI governance, monitoring, and observability frameworks
- Implement model evaluation, guardrails, bias detection, and compliance standards
- Define security, audit logging, privacy, and access control strategies
- Ensure compliance with standards such as SOC 2, GDPR, and HIPAA where applicable
Required Skills & Qualifications
Experience
- 8–12+ years in software engineering or platform architecture
- 4–6+ years of hands-on experience in AI/ML systems and Generative AI
Core Technical Skills
- Strong expertise in:
- GPT, Claude, LLaMA, Mistral, and other LLM ecosystems
- RAG architectures and vector databases (Pinecone, Weaviate, FAISS)
- Prompt engineering and LLM fine-tuning
- Python (mandatory) and Node.js (preferred)
- REST APIs and GraphQL
AI & Agent Frameworks
Experience with:
- LangChain
- CrewAI
- AutoGPT
- Multi-agent orchestration frameworks
Cloud & Infrastructure
Strong understanding of:
- AWS / Azure / GCP
- Kubernetes & Docker
- Apache Kafka & Apache Airflow
- CI/CD pipelines and DevOps practices
- Distributed systems and scalable AI infrastructure
Automation Platforms
Hands-on exposure to:
- UiPath
- Automation Anywhere
- Make.com
- Zapier or similar orchestration platforms
What We’re Looking For
- Strong architectural and systems thinking
- Ability to translate business problems into scalable AI solutions
- Excellent stakeholder management and leadership skills
- Passion for innovation, automation, and emerging AI technologies
- Experience mentoring engineering and AI teams
Preferred Qualifications
- Experience building enterprise AI products or AI SaaS platforms
- Exposure to real-time AI systems and streaming intelligence
- Experience with multi-modal AI systems
- Background in Healthcare, FinTech, EdTech, or compliance-heavy industries
Why Join Us?
- Work on cutting-edge enterprise AI transformation initiatives
- Build scalable AI ecosystems with real business impact
- Collaborate with leadership on future-ready AI innovation
- Opportunity to shape AI strategy, architecture, and automation at scale
Pay: ₹1,400,000.00 - ₹2,200,000.00 per year
Benefits:
- Flexible schedule
- Leave encashment
Work Location: In person
