Engineering Leaders-SME-AI-Gen AI/ Predictive AI

Please find the below JD:

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Senior Manager/Manager/Architect-GenAI & Agentic AI Engineering (Minimum 2-4 Years relevant experience)

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Company: Anaplan

Department: AI Platform Services / Engineering

Location: Gurugram

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About the Role

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At Anaplan, we are pioneering the future of enterprise planning by integrating Generative AI and Agentic AI into our core platform. We are looking for Manager of GenAI & Agentic AI to architect & design GenAI AND Agentic AI systems and lead a small team of high-performing engineers.

We believe that building brilliant AI products requires more than just wrapping Large Language Models (LLMs). The ideal candidate brings a very strong engineering foundation and a deep understanding of system design architecture. You will guide the team not only in advancing our Agentic AI capabilities (like multi-step planning and deterministic tool use) but also in owning the complete data journeyensuring that data flows seamlessly from enterprise sources, gets rigorously cleaned and enriched, and is perfectly model-ready.

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Key Responsibilities:

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* Architect for Scale & Reliability: Design and manage scalable microservices, asynchronous task queues, and containerized pipelines capable of handling highly concurrent AI model calls.

* Optimize Performance: Drive initiatives for latency and throughput optimization, including semantic caching layers, prompt compression, and token quota management.

* Defensive Design: Implement strict guardrails and validation barriers to ensure enterprise-grade security, prevent prompt injections, and eliminate system hallucinations.

* End-to-End Pipeline Ownership: Oversee the architecture of the entire data flow: from enterprise ingestion to vector database integration.

* Advanced Data Processing: Guide the team in parsing raw, unstructured data (PDFs, HTML, tables) into clean, standardized formats.

* Semantic Enrichment: Implement robust chunking strategies and metadata tagging to ensure LLMs receive highly targeted, contextual information.

* Hybrid Retrieval Systems: Build and optimize advanced RAG (Retrieval-Augmented Generation) architectures, combining dense vector searches with sparse keyword lookups and reranking models.

* Build Systems That Act: Lead the development of Agentic AI state machines that can break down complex goals, evaluate progress, and self-correct (Reason-and-Act / ReAct loops).

* Deterministic Execution: Equip AI agents with strictly typed APIs, enabling secure code execution, database querying, and automated business processes.

* State & Memory Management: Design contextual short-term and long-term memory systems to support complex, multi-turn enterprise workflows.

* Team Development: Hire, mentor, and grow a team of top-tier software, data, and AI engineers.

* Cross-Functional Collaboration: Partner closely with Product, Data Science, and core platform engineering teams to seamlessly embed AI capabilities (e.g., Anaplan Analyst, CoModeler, Agent Studio) into the user experience.

* Best Practices: Establish and enforce rigorous software engineering standards, CI/CD pipelines, and testing protocols specifically tailored for non-deterministic AI systems.

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Qualifications

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* Engineering Foundation: 10-20 years of experience in software engineering, distributed systems, and data architecture, with at least 1-5 years in a technical leadership or management role.

* AI/ML Expertise: Proven hands-on experience building production-grade Generative AI applications, RAG pipelines, and working with LLMs (e.g., OpenAI, Anthropic, open-source models).

* Agentic Frameworks: Deep understanding of Agentic AI paradigms, state machines, and frameworks like LangChain, LlamaIndex, or proprietary orchestration systems.

*Experience with Ragas, Deep Eval, Langsmith

* Data Engineering Mastery: Strong background in ETL/ELT pipelines, vector databases (e.g., Pinecone, Milvus), graph databases, and managing unstructured data at scale.

* Cloud & Infrastructure: Proficiency with cloud-native architectures (AWS/GCP), Kubernetes, and modern backend languages (Python, Go, or Java).

* Vision & Execution: Ability to balance cutting-edge AI research with pragmatic, highly reliable software engineering delivery.

Why Join Us? You will be at the forefront of transforming traditional business planning into an autonomous "Plan-Analyze-Act" cycle, working with top talent in the industry to build AI systems that are as reliable and secure as they are intelligent.