Forward Deployed AI Engineer

In this role, you’ll join a newly formed forward-deployed engineering group that partners with high-priority enterprise clients to take AI from idea to production. This is a delivery-first role for engineers who enjoy being close to real users. You’ll uncover high-value use cases, prototype quickly and ship robust solutions that create measurable outcomes.Think of it as a blend of product engineer, solutions architect and hands-on applied AI builder—working in small squads, owning end-to-end execution and operating comfortably in ambiguous environments.What you’ll doWork directly with senior client stakeholders to understand objectives, constraints and success metricsRun discovery sessions (workshops, whiteboarding, rapid scoping) to identify practical AI opportunitiesDesign and build PoCs and production-ready applications using LLMs, multimodal models, and agentic workflowsEngineer end-to-end systems: data ingestion, orchestration, evaluation, deployment, monitoring, security and performance tuningDeploy to customer environments (cloud or on-prem), ensuring scalability, compliance and operational readinessIterate fast: test hypotheses, measure impact, refine prompts/policies/tools and harden prototypes into durable servicesBuild reusable templates, accelerators, and internal tooling to speed up delivery across industriesCollaborate closely with commercial and delivery partners (solutions, product, research, customer success) to execute wellCapture learnings, document patterns, and help mentor other engineers as the team grows What we’re looking for5+ years in software engineering, applied ML, or AI product deliveryStrong coding ability in Python and/or JavaScript/TypeScript (clean APIs, production-grade practices)Practical experience with modern ML frameworks (e.g., PyTorch or TensorFlow) and deploying models into real systemsHands-on familiarity with LLM-powered applications: RAG, tool/function calling, workflow orchestration, evaluation, guardrails, or multi-agent patternsExperience deploying to AWS/Azure/GCP and/or working with enterprise/on-prem setups (networking, IAM, security considerations)Ability to translate vague business problems into well-scoped builds, with clear trade-offs and measurable resultsConfident communicator who can explain complex concepts to technical and non-technical audiences and build trust quicklyComfortable working across domains (e.g., healthcare, finance, retail, public sector) and adapting to different constraintsWillingness to travel or spend time on-site with customers when neededNice to havePrior client-facing delivery experience (implementation, solutions engineering, consulting, or forward-deployed work)Exposure to NLP, computer vision, reinforcement learning, or multi-agent research methodsExperience building internal platforms, deployment templates, or reusable delivery frameworks Why this roleYou’ll work on high-stakes, real-world implementations where customers matter. If you enjoy rapid experimentation, building reliable systems, and partnering directly with customers to turn cutting-edge AI into outcomes, this role will suit you.Recruitment processThe role has recently opened so please apply. When your application is reviewed, you will be contacted if your profile meets the requirements. The customer will conduct both online and face-to-face interviews based on location and availability.Your consultantMichael Deane, Senior Recruitment Consultant with a focus on placing CSuite, VP & Senior talent, along with Technical and Business Development professionals within HealthcareTechnology across the Middle East region. Michael has an extensive technical, leadership and recruitment background.