2 months ago
Gurgaon, IndiaStaff+
Responsibilities
- Define and evolve the architecture for Agentic AI and Conversational AI capabilities across the Anaplan platform.
- Design systems for natural-language intent understanding, context preservation, reasoning, retrieval, tool calling, workflow orchestration, and reliable outcomes.
- Establish architectural patterns for agent orchestration, state and memory management, context construction, RAG, evaluation, and human-in-the-loop controls.
- Architect secure, scalable, observable, resilient, and cost-effective AI systems integrated with enterprise data, APIs, microservices, event-driven systems, and cloud infrastructure.
- Prototype, validate, and implement critical capabilities using Python, Java, C#, Go, or other relevant technologies, with approximately 20–30% hands-on engineering and coding.
- Evaluate foundation models and approaches including prompting, RAG, fine-tuning, conventional software, and agentic workflows based on business requirements.
- Address privacy, identity, authorization, prompt injection, data leakage, agent permissions, tool access, auditability, guardrails, and responsible AI concerns.
- Lead architecture discussions, drive technical decisions, establish reusable design patterns, influence the AI technology roadmap, and mentor senior engineers and architects.
- Collaborate with Product, Engineering, AI/ML, Data, Security, Platform, and UX teams to translate business requirements into production-ready solutions.
Requirements
- 12+ years of experience designing and building sophisticated software systems.
- Substantial experience with distributed systems, cloud architecture, APIs, microservices, cloud-native applications, and modern software engineering.
- Meaningful hands-on experience with Generative AI, Large Language Models, Agentic AI, Conversational AI, or closely related technologies, ideally taking solutions from proof of concept through production.
- Deep understanding of LLM application architecture, including RAG, embeddings, vector search, prompting, context management, tool and function calling, agent orchestration, and AI evaluation.
- Experience with technologies such as Semantic Kernel, LangChain, LangGraph, OpenAI, Azure OpenAI, Anthropic, Google Gemini, Azure AI Search, vector databases, or comparable technologies.
- Experience with multi-agent systems, MCP, AI observability, LLM evaluation, enterprise knowledge systems, and secure AI architectures is particularly relevant.
- Strong hands-on ability in at least one modern programming language and the ability to move between architecture strategy, technical design, experimentation, and production implementation.
- Ability to evaluate trade-offs among intelligence, reliability, latency, scalability, security, and cost, and to communicate complex architectures to senior leadership and engineering teams.
Benefits
- Hybrid work model in Gurugram, India.
- Opportunity to shape enterprise Agentic AI and Conversational AI architecture at a global planning and decision-making platform.
- Inclusive workplace committed to diversity, equity, inclusion, belonging, reasonable accommodation, and equitable benefits and privileges.
Categories
About Anaplan
Anaplan builds a cloud platform for enterprise planning, forecasting, and scenario modeling used by finance, supply chain, sales, and workforce teams. It sells subscription software and related services to large organizations that need connected, cross-functional planning. Founded in 2006 and headquartered in Miami, Florida, Anaplan was acquired by Thoma Bravo in 2022 after previously trading on the NYSE.