Enterprise Architect
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Job Description:
Experience : 8-15 years
Location : Gurugram
This overarching role combines deep technical mechanics, full-stack application design, and robust security governance to lead the enterprise AI strategy. AVP, GenAI Enterprise Architect Experience: 8–15 Years Role Overview: Design and deploy enterprise-grade AI solutions (LLMs, RAG, agents) by selecting appropriate models, building data pipelines, and integrating them with cloud platforms (AWS, Azure, GCP). Lead technical strategies, ensure scalability, manage AI security/ hallucinations, and bridge business needs with engineering teams. Key Responsibilities • • • • • System Design & Architecture: Architect end-to-end Generative AI systems, including retrieval-augmented generation (RAG) and vector data systems. Model Selection & Tuning: Evaluate and select cutting-edge commercial (e.g., GPT-4) and open-source models, and fine-tune models for domain-specific use cases. LLMOps & Pipelines: Establish LLMOps standards for model versioning, evaluation, prompt management, and CI/CD, ensuring robust, production-grade AI. Integration & Security: Integrate AI solutions with existing APIs, applications, and databases while enforcing security, privacy, and guardrails to manage hallucinations and adversarial attacks. Strategic Leadership: Collaborate with stakeholders to map business challenges to AI solutions and establish AI governance frameworks.
Required Skills & Qualifications • •
• • Technical Expertise: Deep knowledge of NLP, Python, deep learning frameworks (PyTorch/ TensorFlow), and AI frameworks like LangChain, Autogen, or CrewAI. Cloud & Data Systems: Extensive hands-on experience with AI services on AWS, Azure, or GCP. Expertise in vector databases (e.g., Pinecone, Milvus, Chroma) and embedding techniques. GenAI-Specific Skills: Prompt engineering, RAG architectures, Fine-tuning LLMs, Vector databases. Soft Skills: Problem-solving mindset, strategic thinking, and strong communication (explaining AI to non-technical teams).
• Qualifications: Bachelor's / Master's in Computer Science, AI, Data Science, or related field; 8–15 years in software engineering, ML, or AI roles. Experience with enterprise-level systems
Job ID: 152124713
Skills:
Java, Data Protection, Identity And Access Management, Encryption, Python, cloud-native distributed systems, data governance standards, system design principles, container orchestration technologies, Go, continuous integration pipelines, IT security practices
Skills:
ip address management , Dns, DHCP, Docker, Terraform, Gitlab, Python, Databases, network security, Network Infrastructures, Routing, Ansible, Windows Servers, CI CD Pipelines, switching, WLAN technologies, Artificial intelligence algorithms, DDI, fiber optic and twisted-pair Ethernet transmission and connection technologies, Telephony, VoIP, virtual server environments, IT infrastructure architectures designs and concepts, Cloud Computing Architectures, troubleshooting and repair of network components, radio network technologies, monitoring systems and protocols
Skills:
containerization , Tensorflow, Pytorch, Docker, MLops, Python Programming, Rest Apis, Kubernetes, Prompt engineering, RAG pipeline design, vector databases, Productionizing GenAI applications, Azure OpenAI, LangGraph, Productionization, Enterprise AI GenAI Architecture, Governance Responsible AI, Azure AI ecosystem, monitoring systems, Agentic AI RAG Implementation, CrewAI, LLM optimization, Agentic AI frameworks, Scikit-learn, Semantic Kernel, AutoGen, microservices architecture, ML frameworks, AIOps principles
