Architect (Multi-skill) — AI Transformation Core Team

Location: Cincinnati, OH
Remote
Domain: Consumer Goods Experience
Grade: P7 / P8.

Company Overview:

The hiring organization is a leading global technology consulting and digital solutions company serving hundreds of enterprise clients worldwide.

The company has approximately 84,000 professionals, 740+ active enterprise clients and approximately USD 4.5B in annual revenue, with North America representing its largest market.

The organization is making significant investments in Enterprise AI, Generative AI and Agentic AI, bringing together AI platforms and agents with consulting, engineering, implementation and managed services to help major enterprises move AI from experimentation into scaled business transformation.

This role will be part of a strategically important AI-led growth initiative focused on expanding the company's presence across major Communications, Media & Entertainment clients in North America.

Role summary

Own the end-to-end technical architecture for the Foundational AI Platform — agentic orchestration, MCP server design and MCP gateway integration, observability/SRE, ITSM/AIOps, and AI solutions targeting applications hosted on Azure and GCP. Drive joint architecture decisions with the Knowledge Fabric team, the client's AI platform teams, and the partner ecosystem.

Key responsibilities

Foundational AI Platform (own)

Architect the agent orchestration layer — multi-agent topologies, planning/reasoning patterns, agent-to-agent communication, human-in-the-loop gates, fallback and recovery.
Define the Cockpit / control plane — agent registry, version control, deployment, runtime configuration, policy enforcement, traceability dashboards.
Define the Guardrails & Responsible AI architecture — PII redaction, content safety, jailbreak resistance, output validation, policy-as-code, model risk management.
Design the agent observability and evaluation architecture — tracing, token/cost telemetry, golden-set regression suites, drift detection, A/B harnesses.
Architect Agent & Copilot Starter Kits — reusable templates spanning AIOps (triage, incident commander, RCA, resolution, SOP, postmortem, change-impact), engineering productivity, and domain-specific copilots.

MCP server + MCP gateway (own — key area)

MCP server reference design (Resources, Tools, Prompts, Sampling) and an implementation playbook for service-line teams.
MCP gateway: discovery, registry, routing, transport bridging (stdio / Streamable HTTP / SSE), multi-tenancy.
AuthN/AuthZ via OAuth 2.1, OIDC, On behalf of execution

Knowledge Fabric collaboration (consume, not build)

Define retrieval, schema, and SLA contracts with the KF team. Integrate GraphRAG outputs into agents; feedback quality signals.

AI solutions on Azure + GCP application estates

Architect agentic and RAG solutions using Azure (Azure OpenAI, AI Foundry, AI Search, Cosmos DB, AKS) and GCP (Vertex AI, Gemini, BigQuery, GKE) services native to the apps being served.
Cross-cloud connectivity, hybrid retrieval, model/inference routing, secrets and identity propagation across estates.

Engineering excellence and leadership

Architecture reviews, design standards, mentoring pods across business units; co-own roadmap with the joint PMO; drive AI-native SDLC adoption (spec-driven frameworks, AI coding assistants).

Must-have

10+ years in architecture; 3+ years experience in GenAI/agentic systems (2+ years live production experience).
Hands-on MCP — server implementation and gateway integration.
Agent frameworks (LangGraph, AutoGen, Semantic Kernel or equivalent), RAG/GraphRAG, evals, guardrails.
Azure and GCP AI/data stacks; Kubernetes; IaC.
Strong API, security (OAuth 2.1/OIDC/mTLS), and observability fundamentals.

Good-to-have

AIOps / ITSM integration (ServiceNow, observability platforms).
Spec-driven dev (BMAD, Spec Kit, OpenSpec) and AI coding assistants.
Multi-vendor delivery in regulated enterprises.

Architect (Multi-skill) — AI Transforma...