About This Job

About This Job

We have partnered with a global AI-led professional services firm specialising in advisory, technology and managed services across the government and commercial sectors to appoint an AI/ML Engineer. This is a senior hands-on role for an engineer who thrives in a client-facing delivery environment, building and deploying production-grade AI systems that solve real problems at scale. You will play a central role in shaping how the firm engineers and delivers AI solutions across a growing portfolio of government and public sector clients.

This role suits someone who combines deep technical capability with the communication skills and commercial awareness to operate as a trusted partner to clients and internal stakeholders alike. If you have built agentic AI systems in production and want to do it at scale inside a firm with serious delivery ambition, this is worth your attention.

Architect and deploy production-ready agentic AI systems, covering orchestration, retrieval, tool use, policy routing and end-to-end observability

Build portable, multi-provider AI pipelines spanning platforms including OpenAI, Anthropic and Google Vertex AI

Develop cloud-native systems leveraging Kubernetes, Docker, serverless architectures, event-driven design and CI/CD tooling

Translate client and business requirements into scalable agentic workflows that automate complex processes and deliver measurable outcomes

Lead proof of concepts, design workshops and joint engineering sessions to accelerate client adoption

Own performance monitoring across accuracy, latency, cost and reliability, and define the standards the team works to

Ensure solution compliance with applicable regulatory frameworks including HIPAA and SOC 2

Mentor junior engineers and contribute to internal frameworks, reusable patterns and the firm's broader AI engineering strategy

5+ years of experience building and deploying cloud-native systems including microservices, APIs, containerisation and serverless architectures

3+ years working with leading AI platforms and open-source LLM frameworks with hands-on experience across multi-provider pipeline development

1+ year of production experience with agentic AI systems including RAG pipelines, orchestration frameworks and workflow automation

Strong Python skills alongside experience with TensorFlow, PyTorch or Hugging Face

Solid grounding in MLOps including CI/CD, continuous training, observability and automated monitoring

Track record of delivering medium to large-scale AI/ML projects with demonstrable business impact

Strong communicator with the ability to work effectively across engineering, client and business teams

US citizenship or Green Card required

Familiarity with healthcare interoperability standards such as FHIR and HL7 is advantageous

Certifications in AI, cloud platforms or agentic tooling are a plus

Position Name AI/ML Engineer

Position Name

AI/ML Engineer