Production AI Deployment Strike Team
A managed engineering service that turns AI prototypes into monitored, reliable production workflows.
Added Jul 1, 2026
The Problem
Companies are hiring senior AI/ML? engineers, ML? infrastructure engineers, forward-deployed ML? engineers, and AI delivery leads because prototypes are not enough. The repeated pain is moving models, LLM? agents, document intelligence, and ML? pipelines from research or demos into production systems with evaluation, data plumbing, serving, monitoring, and business workflow ownership. Many teams lack the temporary senior capacity to design the architecture and do the implementation without hiring a full internal platform group.
Potential Solution
Start as a productized deployment service for teams with an existing AI prototype or model that needs to reach production. The service scopes the workflow, audits data and infrastructure, builds the serving and evaluation pipeline, integrates with the buyer's source systems, and hands over runbooks and monitoring. Over time, repeated delivery artifacts can become reusable accelerators for evaluation, deployment, human review, and feedback-loop management.
Why Now?
AI adoption has moved from experimentation to production accountability, and companies are hiring for the missing layer between research, product, data, and infrastructure. LLM? and agent systems now require ongoing evaluation, feedback loops, and workflow integration rather than one-time model delivery.
Showing 1-20 of 20 signals
Application Software Engineer, Applied AI
Own the full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to production Deep dive into users’ problems to uncover high-leverage AI opportunities and deliver efficient, production-grade solutions
AI MLOps (Machine Learning Operations) Engineer
Collaborate with developers and QA teams to integrate AI-based prototypes into the broader software lifecycle and measure productivity impact. Design and deploy scalable ML pipelines tailored to rapidly evolving prototypes, with robust model training, testing, deployment, and monitoring processes.
Applied AI Engineer, Beneficial Deployments
We're looking for an Applied AI Engineer to join our Beneficial Deployments team. You’ll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships. Serve as a deep technical partner to mission-driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more
Staff Platform Engineer, AI Enablement
This role sits within the Infrastructure organization. You will collaborate across the business to turn platform strategy into practical, adoptable solutions — working side by side with a parallel squad focused on the technical engineering audience, and bridging the gap between engineering-grade tools and the non-technical teams (People, Operations, Sales, Finance, and others) who increasingly build and depend on AI-powered workflows.
Digital Cloud Solution Engineer Cloud & AI (Apps & AI) - Benelux Region
As an Innovative AI Application Digital Solution Engineer (DSE), you will play a pivotal role in helping enterprise AI developers unlock the full potential of Microsoft’s AI-powered stack across every stage of the development lifecycle. You’ll collaborate closely with engineering leaders and platform teams to accelerate AI Foundry, Cloud & AI, and Responsible AI, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI applications development into their deployment workflows. In summary, you’ll help customers modernize their applications and realize the full value of Microsoft’s AI platform, all while enjoying flexible work opportunities.
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