Job description
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