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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location and broad technical requirements increase applicant competition despite niche GenAI skills.
Highly specialized GenAI, LLM, and vector database expertise limits cross-industry transferability.
Multiple mandatory GenAI technologies and architecture requirements create strict technical filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design and architect end-to-end Generative AI solutions including RAG pipelines, agentic workflows, and multimodal use cases for enterprise environments.
Lead cloud-native GenAI deployments ensuring scalability, security, and production readiness using CI/CD pipelines and container orchestration.
Provide technical leadership by collaborating with business and engineering teams, mentoring staff, and driving best practices in GenAI architecture and implementation.
Minimum Requirements
Strong hands-on experience with GenAI / LLM Architectures, vector databases (e.g., Pinecone, FAISS, Weaviate), and agentic AI frameworks (e.g., LangChain, LangGraph).
Proven expertise in cloud architecture and deployments for GenAI workloads including CI/CD pipelines, containerization (Docker, Kubernetes), and security.
Work Experience Required: Not explicitly mentioned in the JD.
Location Requirement: Noida, UP, India.
Ideal Candidate Profile
Experienced architect or senior engineer with deep domain expertise in designing enterprise-grade GenAI use cases and solutions.
Strong operational and production mindset with experience in scaling, monitoring, and security of AI/ML systems.
Ability to translate complex business problems into technical blueprints and lead cross-functional teams in fast-paced environments.