Senior Manager/Associate Director - Generative AI Solutions

We are looking for an experienced Lead GenAI Senior Manager / Associate Director to drive the design, development, and delivery of enterprise-grade Generative AI solutions. The ideal candidate should possess deep expertise in AI/ML engineering, LLM orchestration, agentic AI frameworks, backend development, and cloud-native architectures. This role requires hands-on technical leadership, ownership of AI initiatives, and the ability to translate business requirements into scalable AI applications.

Key Responsibilities :

- Design, develop, and deploy scalable Generative AI solutions, including AI agents, autonomous workflows, and intelligent automation pipelines.

- Build backend services and REST APIs using Python frameworks such as FastAPI or Flask.

- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.

- Design and implement multi-agent workflows using frameworks such as LangGraph, CrewAI, or similar agent orchestration platforms.

- Integrate Large Language Models (LLMs), enterprise APIs, databases, and external data sources into AI applications.

- Build rapid prototypes, proof of concepts (POCs), and UI demonstrations to validate AI use cases and business requirements.

- Lead the technical execution of AI pilots, ensuring scalability, reliability, security, and production readiness.

- Collaborate with Product Owners, Pod Leads, Architects, and business stakeholders to translate functional requirements into robust AI solutions.

- Optimize prompt engineering strategies, model performance, latency, and operational costs.

- Implement monitoring, evaluation, guardrails, and observability for production AI systems.

- Mentor engineering teams and establish best practices for AI development, code quality, and solution architecture.

- Stay current with advancements in LLMs, agentic AI, AI frameworks, and cloud technologies.

Required Skills & Experience :

- 9- 14 years of experience in software engineering, AI/ML engineering, or backend application development.

- Strong hands-on expertise in Python programming.

- Experience building backend services using FastAPI or Flask.

- Hands-on experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or similar.

- Strong experience designing and implementing RAG pipelines and vector database solutions.

- Deep understanding of prompt engineering, LLM orchestration, and AI application architecture.

- Experience integrating LLMs with enterprise systems, APIs, and external data sources.

- Knowledge of vector databases such as Pinecone, Weaviate, FAISS, ChromaDB, or Milvus.

- Experience deploying AI applications on AWS, Azure, or Google Cloud Platform.

- Strong understanding of REST APIs, microservices, distributed systems, and scalable application design.

- Excellent problem-solving, communication, and stakeholder management skills.

(ref:hirist.tech)