Director Generative AI Key Responsibilities :Customer Solutioning and Pre-Sales :- Lead discovery with client executives and technical teams to identify high-value GenAI use cases and assess feasibility, data readiness, and ROI.- Design end-to-end GenAI architectures covering LLM selection, RAG, vector databases, agentic workflows, enterprise integrations, security, and governance.- Own the technical narrative in proposals, SOWs, and orals, including solution architecture, estimates, staffing, risks, and assumptions.- Lead executive workshops, technical envisioning sessions, proof-of-concept scoping, and presentations to CIO, CDO, and CTO audiences.- Advise clients on build-versus-buy decisions, cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI), and model trade-offs involving cost, latency, quality, and privacy.Technical Leadership and Architecture :- Define reference architectures and engineering best practices for LLM applications, RAG pipelines, AI agents, prompt engineering, and model orchestration.- Guide technology selection across LLM frameworks, embedding models, reranking, vector search, and open-source versus proprietary models.- Establish standards for LLM evaluation, guardrails, observability, LLMOps, and production deployment.- Review solution designs and technical implementations, resolving complex challenges related to retrieval quality, model performance, scalability, security,



and cost optimization.- Stay current with emerging GenAI technologies and translate them into practical client solutions and reusable accelerators.Delivery and Practice Growth :- Provide technical oversight across GenAI engagements to ensure solutions are scalable, secure, production-ready, and aligned with the proposed architecture.- Partner with engineering, data, cloud, and security teams to guide implementation and resolve technical escalations.- Identify follow-on opportunities, develop reusable solution accelerators, and contribute to the growth of the GenAI practice.Required Skills and Experience :- Strong experience in AI/ML, solution architecture, software engineering, or enterprise technology consulting, with substantial hands-on exposure to Generative AI.- Robust understanding of LLMs, RAG, embeddings, vector databases, semantic search, and agentic AI architectures.- Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent technologies.- Knowledge of enterprise AI platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks, or Snowflake.- Understanding of Python, REST APIs, microservices, cloud-native architectures, and enterprise data integration.- Experience with LLM evaluation, prompt engineering, guardrails, monitoring, and production deployment practices.- Strong understanding of AI security, data privacy, governance, scalability, and cost optimization.- Excellent client-facing communication, technical solutioning, stakeholder management, and team leadership skills. (ref:hirist.tech)

📌 Director - Generative AI (Bengaluru)
🏢 KPI PARTNERS INDIA PRIVATE
📍 Bengaluru