Senior Solution Architect - Palantir Platforms

Agentic AI Architect/Sr. Architect-Agentic AI

We are seeking an experienced Agentic AI Architect to lead the design, development, and deployment of next-generation AI solutions powered by autonomous agents, multi agent systems, LLMs, RAG, Knowledge Graphs, and AI orchestration frameworks. The ideal candidate will possess a strong blend of AI/ML expertise, solution architecture skills, and hands-on experience in delivering enterprise-scale AI initiatives.

Key Responsibilities • Design and architect Agentic AI solutions leveraging LLMs, autonomous agents, multi-agent systems, and AI orchestration frameworks. • Lead the development of AI-powered workflows using platforms such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or similar frameworks. • Define agent planning, reasoning, memory, tool usage, and collaboration strategies for complex enterprise use cases. • Integrate RAG pipelines, vector databases, Knowledge Graphs, APIs, and enterprise data sources into agent ecosystems. • Provide technical leadership, architecture guidance, and best practices for scalable, secure, and responsible AI implementations. • Collaborate with business stakeholders to identify high-value opportunities for AI-driven automation and decision intelligence. • Establish governance, evaluation, observability, and performance monitoring frameworks for AI agents. • Mentor engineering teams and contribute to AI capability development across the organization.

Required Qualifications • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field. • 12-20 years of experience in Web development, AI/ML, data science, software engineering, or solution architecture. • 3+ years of hands-on experience with Generative AI and LLM-based solutions. • Strong experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK. • Expertise in RAG, vector databases, embeddings, prompt engineering, and AI orchestration. • Experience with cloud platforms such as Azure AI, AWS Bedrock, or Google Vertex AI. • Proficiency in Python, APIs, MLOps, and enterprise application integration. • Strong understanding of responsible AI, security, governance, and model evaluation.

Preferred Qualifications • Experience with GraphRAG, Knowledge Graphs, Neo4j, and enterprise search solutions. • Exposure to AI copilots, workflow automation, and intelligent process automation. Public • Relevant certifications in Azure AI, AWS AI/ML, or Generative AI technologies.

Key Skills Agentic AI | Multi-Agent Systems | LLMs | RAG | GraphRAG | Knowledge Graphs | LangGraph | CrewAI | AutoGen | Semantic Kernel | Prompt Engineering | Vector Databases | Python | Azure AI | AI Governance | Solution Architecture Experience: 12-20 Years Role Level: Lead Architect / Principal AI Engineer / AI SME

Do:

Understanding of business processes to determine problem statements in the F&A & HRO Vertical. Closely work with functional and domain experts and translate how technology can solve a business problem Should be able to think through existing technology solutions and also have enough industry/market know how to bring in technologies from partners and develop alliances Develop solution artefacts, value propositions with a representation of end to end business processes and mapping them back to technology solutions Develop relationships with multiple stake holders (Below list is not exhaustive) Functional team to understand the business needs Technology teams to convert them into technology solutions Sales and Pre Sales team acting as the engine enabling sales He/she works as an individual contributor with excellent communication skills (both written and verbal) and is able to respond to RFI/RFP (RFx) and defend /present solutions with Client while working closely with the onsite Sales teams

Mandatory Skills: Agentic AI.

Experience: >10 YEARS.

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