Senior Enterprise AI Tech Lead — Architecture & Delivery

WPP Enterprise Solutions; United States; Remote; USD 78,000 - 99,000; Full time

Benefits offered by this job

Private medical care

Professional development opportunities

Flexible working arrangements

Training programmes

Job summary

VML Enterprise Solutions seeks an AI Enterprise Technical Lead to own enterprise AI delivery on a high-profile project. You will conduct client-facing discovery, run technical workshops, and influence architecture with a balance of leadership and hands-on coding.

You will help shape a secure AI platform built around Microsoft Azure, LLMs, agentic workflows, and enterprise knowledge integration, ensuring alignment with broader enterprise architecture.

Qualifications

• Strong commercial experience designing and delivering AI/GenAI solutions in enterprise environments.
• Strong understanding of LLMs, agentic architectures, RAG and workflow orchestration.
• Hands-on experience building AI solutions and integrating them with application services and APIs.
• Good practical knowledge of Microsoft Azure and Azure AI services.
• Strong understanding of software architecture, API design and enterprise integration patterns.
• Experience combining LLM-based capabilities with deterministic application logic.
• Practical understanding of context engineering, retrieval, structured model outputs and AI evaluation.
• Understanding of security, identity and access, governance and human oversight in enterprise AI solutions.
• Proven experience leading technical discovery and solution design.
• Experience providing technical leadership while remaining hands-on when needed.
• Strong client-facing communication skills and the ability to explain complex technical decisions and trade-offs.
• Fluency in English.

Responsibilities

• Lead technical discovery and solution design, translating business workflows into scalable AI solutions.
• Shape architecture across AI agents, orchestration, RAG/retrieval, Azure services and enterprise integrations.
• Define clear boundaries between AI/LLM capabilities and deterministic application logic.
• Design agent workflows, context management, tool usage and appropriate human‑in‑the‑loop controls.
• Shape RAG and enterprise knowledge solutions, including retrieval and use of trusted sources.
• Design integrations between AI workflows, APIs and existing enterprise platforms.
• Ensure appropriate approaches to security, identity and access, governance, observability and auditability.
• Turn discovery outcomes into architecture, technical scope and an actionable implementation backlog.
• Lead engineers throughout delivery, providing hands‑on guidance, code reviews and support with complex technical decisions.
• Establish effective approaches to AI evaluation, testing and continuous improvement.

Skills

GenAI solutions

LLMs

Azure AI services

Enterprise integration

Security and governance

Technical leadership

Context engineering

Tools

Azure services

APIs

ML Ops

Job description

VML Enterprise Solutions seeks an AI Enterprise Technical Lead to own enterprise AI delivery on a high-profile project. You will conduct client-facing discovery, run technical workshops, and influence architecture with a balance of leadership and hands-on coding.

You will help shape a secure AI platform built around Microsoft Azure, LLMs, agentic workflows, and enterprise knowledge integration, ensuring alignment with broader enterprise architecture.