IN_Senior Associate_Gen AI_CEDA Central_Advisory_Bangalore
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong PwC brand, metro location, mid-level generalist GenAI role increases competition.
Highly specialized GenAI/LLM skills and platform experience limit cross-industry transferability.
Explicit 5–8 years requirement, 3+ GenAI experience, and many mandated tools and certifications increases selectivity.
Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture and implementation of enterprise-scale Generative AI and Agentic AI solutions, including AI copilots and multi-agent systems.
Own end-to-end AI product development lifecycle from ideation through production deployment and establish AI governance and evaluation frameworks.
Collaborate directly with clients and cross-functional teams to define AI strategy, develop use cases, and deliver integrated AI solutions on cloud-native platforms.
Minimum Requirements
5–8 years of technology experience with at least 3 years in GenAI / LLM engineering.
Strong hands-on skills in Python, LLMs/foundation models, Agentic AI, RAG frameworks, prompt engineering, AI governance, vector databases, and MLOps/LLMOps.
Experience with relevant tools and platforms including LangChain, LangGraph, AutoGen, CrewAI, Azure OpenAI, OpenAI, Anthropic Claude, Gemini, Azure, AWS, GCP, MLflow, Databricks, Fabric, and Kubernetes.
Bachelor of Technology (BE/BTech) degree required; 4+ years of relevant experience required.
Ideal Candidate Profile
Experienced practitioner in building and leading complex enterprise AI platforms and AI copilots at scale.
Demonstrated ability to guide engineering teams with architecture and technical mentoring in AI engineering.
Prior client-facing role involving AI strategy, use case development, and collaboration with cloud, data engineering, and business teams.