Senior AI Engineer

GCS Recruitment; United States; Remote; USD 112,000 - 176,000; Full time

Job summary

GCS Recruitment seeks a Senior AI Engineer (Contract) to lead the architecture of an enterprise AI agent platform. You will evaluate LLMs, design orchestration, memory, and retrieval-augmented generation, and guide governance and testing strategies.

This role blends hands-on engineering with technical leadership across business and technology leaders. You will drive data integration from enterprise sources, establish scalability and security practices, and mentor engineering teams while

Qualifications

• Proven experience building production AI applications and platforms.
• Deep understanding of LLMs, agentic architectures, and retrieval-based systems.
• Experience with AI orchestration frameworks, memory systems, and multi-agent workflows.
• Expertise in prompt engineering, evaluation frameworks, and model optimisation.
• Familiarity with cloud-based AI services and infrastructure.
• Experience integrating diverse enterprise data sources and knowledge repositories.
• Strong software engineering background with emphasis on scalability and platform design.
• Ability to balance technical excellence with business value and cost efficiency.

Responsibilities

• Define and implement the architecture for an enterprise AI agent platform.
• Evaluate and recommend suitable large language models, tooling, and deployment approaches.
• Design and optimise agent orchestration, memory, and retrieval-augmented generation capabilities.
• Develop approaches for prompt management, testing, versioning, and governance.
• Integrate structured and unstructured data sources from across the business.
• Establish best practices for scalability, performance, security, and maintainability.
• Monitor and optimise AI usage, token consumption, and operational costs.
• Assess commercial and open-source AI technologies and recommend fit-for-purpose solutions.
• Provide technical leadership, mentoring, and architectural guidance to engineering stakeholders.
• Translate complex technical decisions into clear recommendations for business and technology leaders.

Skills

Production-grade AI

LLMs

Agentic AI

Retrieval systems

Orchestration frameworks

Memory systems

Multi-agent workflows

Prompt engineering

Model evaluation

Cloud services

Data integration

Software engineering

Job description

Senior AI Engineer (Contract)

We are partnering with a large international professional services organisation undertaking a major AI transformation initiative. The company is developing a next-generation AI platform that will enable business users to create, deploy, manage, and scale AI-powered agents using proprietary enterprise data and knowledge sources.

As a Senior AI Engineer, you will play a key role in designing and evolving the platform architecture, bringing together existing capabilities into a scalable, secure, and production-ready solution. You will assess technologies, define architectural direction, and guide decisions across agent frameworks, retrieval systems, model integration, orchestration, and operational governance.

This position combines hands‑on engineering with technical leadership and offers significant influence over the future direction of the platform.

Responsibilities

• Define and implement the architecture for an enterprise AI agent platform.
• Evaluate and recommend suitable large language models, tooling, and deployment approaches.
• Design and optimise agent orchestration, memory, and retrieval-augmented generation (RAG) capabilities.
• Develop approaches for prompt management, testing, versioning, and governance.
• Integrate structured and unstructured data sources from across the business.
• Establish best practices for scalability, performance, security, and maintainability.
• Monitor and optimise AI usage, token consumption, and operational costs.
• Assess commercial and open-source AI technologies and recommend fit-for-purpose solutions.
• Provide technical leadership, mentoring, and architectural guidance to engineering stakeholders.
• Translate complex technical decisions into clear recommendations for business and technology leaders.

Desired Experience

• Strong experience building production‑grade AI applications and platforms.
• Deep understanding of LLMs, agentic AI architectures, and retrieval-based systems.
• Experience with AI orchestration frameworks, memory systems, and multi‑agent workflows.
• Expertise in prompt engineering, evaluation frameworks, and model optimisation.
• Familiarity with modern cloud‑based AI services and infrastructure.
• Experience integrating diverse enterprise data sources and knowledge repositories.
• Strong software engineering background with an emphasis on scalability and platform design.
• Ability to balance technical excellence with business value, cost efficiency, and user adoption.

Contract Details

• Initial 3-month contract with potential for extension.
• Remote within Europe.
• Occasional in-person collaboration sessions may be required.