IIO-HC Forward-AI Solution architect

Summary Position Summary **Job Description – AI Solution Architect** The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. Centered on five core issues, this Portfolio signifies to the market that we see Human Capital as a topic critical to the C-Suite. As we go-to-market, we will show our clients that we serve more than HR organizations – from the CEO to CFO, Risk Manager to Business Unit leader—and that we deliver on our issues and help create value for our clients.

Insights, Innovation & Operate Offering: Our Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients’ businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value.

Position Summary: AI Solutions Architect (Senior Consultants, Managers)

**Role Summary** We are seeking an AI Solutions Architect to design and deliver production-grade AI agent platforms. The core of this role is building multi-agent orchestration systems using LangGraph and Anthropic Claude—routing user intent to specialized sub-agents, implementing retrieval-augmented generation (RAG) over policy documents, and performing actions. You will own the architecture from LLM prompt design to multi-tenancy and vendor integration across HR platforms (Workday, SAP, Oracle HCM). You will collaborate with engineering, security, and product teams to translate business requirements into production-ready AI agent solutions.

Experience bands:

• Senior Consultant: 6+ years total experience, with significant time in AI/ML solution design
• Manager: 10+ years total experience, with significant time in AI/ML solution design

**Key Responsibilities**

• Design and implement multi-agent orchestration using LangGraph—intent classification, sub-agent routing, state management, checkpointing, and human-in-the-loop (HITL) interrupt flows.
• Architect RAG pipelines: document ingestion, chunking strategies, embedding generation, vector search (pgvector), hybrid retrieval, and citation-grounded response synthesis.
• Evaluate and integrate LLM providers (Anthropic Claude, OpenAI, etc.), defining model selection strategies, prompt engineering standards, and token budget management across agent tiers and multi-tenant data layers
• Design vendor integration patterns using direct APIs, MCP, and A2A protocol for complex HR platform workflows.
• Define end-to-end AI solution architectures from user interaction through agent orchestration, vendor API integration, and production deployment with monitoring.
• , own the AI application architecture (agent orchestration, LLM integration, RAG, guardrails, eval frameworks) in joint partnership with the Cloud Solution Architect, who owns the cloud platform and infrastructure layer.
• , partner with the Data Integration Architect who owns document ingestion and vector store architecture; own downstream AI application concerns (retrieval strategy, prompt design, response synthesis, evaluation).
• Conduct architecture reviews and mentor teams on best practices in LLM application design, agent patterns, and production readiness.
• Collaborate with stakeholders to translate requirements into architecture decisions and delivery roadmaps; produce HLD/LLD and ADRs.

**Required Qualifications**

• 6+ years (Senior Consultant) or 10+ years (Manager) total experience, with significant time in AI/ML solution design and implementation.
• Hands-on proficiency with agent orchestration frameworks - LangGraph strongly preferred.
• Strong understanding of retrieval-augmented generation
• Experience with prompt engineering, tool calling, and LLM evaluation techniques
• Expert-level Python development for production systems
• Strong hands-on experience building API services with FastAPI
• Working knowledge of multi-tenant security patterns
• (Claude Code, GitHub Copilot, Cursor, Windsurf, or equivalent) for architecture work, design documentation, and engineering workflows. Familiarity with agentic engineering patterns is expected.
• Strong communication and documentation skills; ability to influence cross-functional teams and senior stakeholders.

**Preferred Qualifications**

• Familiarity with the Model Context Protocol (MCP) and Agent-…