Lead Applied AI/ML Platform & GenAI Systems Architect

Archer; Glasgow; On-site; GBP 120,000 - 170,000; Full time

Job summary

Archer collaborates with J.P. Morgan to identify an Applied ML and Generative Lead who will design, build, and operate production-grade ML and GenAI services for enterprise use.

You will lead engineering efforts, set coding and delivery standards, and work with Infrastructure Platforms AI teams to deliver secure, scalable AI capabilities across multiple workstreams. Strong hands-on Python expertise, experience with RAG and agentic workflows, and secure deployment in regulated environments are

Qualifications

• Proven delivery of LLM-enabled applications using agentic patterns, including tool use, orchestration, guardrails, and structured outputs.

Responsibilities

• Provide hands-on technical leadership by designing, developing, and deploying ML/LLM/GenAI solutions from concept through production, maintaining ownership for reliability and operability once deployed.
• Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
• Develop secure, testable services and libraries that integrate LLMs, tool use, RAG, and agentic workflows.
• Build end-to-end RAG/Agentic RAG pipelines: chunking and indexing, retrieval tuning, re-ranking, grounding checks.
• Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation.
• Mentor and uplift junior engineers through design reviews, code reviews, pairing, and coaching, raising engineering quality and delivery discipline across the team
• Implement monitoring mechanisms to track AI solution performance in real-time to ensure reliability and compliance.
• Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
• Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.

Skills

LLM-enabled apps

Agentic patterns

Python engineering

Production AI systems

RAG/GenAI

Security in enterprise

Tool integration

Tools

Ray

CUDA

Job description

Archer collaborates with J.P. Morgan to identify an Applied ML and Generative Lead who will design, build, and operate production-grade ML and GenAI services for enterprise use.

You will lead engineering efforts, set coding and delivery standards, and work with Infrastructure Platforms AI teams to deliver secure, scalable AI capabilities across multiple workstreams. Strong hands-on Python expertise, experience with RAG and agentic workflows, and secure deployment in regulated environments are