Senior/ Lead AI Deployment Engineer

United States Digital Space LLC; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

RSUs (Restricted Stock Units)

Unlimited PTO

Flexible hybrid work model

Mentorship programs

Wellhub memberships

Résumé du poste

United States Digital Space LLC is seeking a Senior/Lead AI Deployment Engineer to lead the hands-on implementation of enterprise AI solutions. You will direct AI agents, validate outputs, and translate customer needs into actionable specifications while ensuring measurable business impact.

You will collaborate with clients to define data requirements, build data models, dashboards, and KPIs, and drive adoption through value workshops and thorough handover.

Qualifications

• 4-7+ years in Management or IT consulting, data/solution consulting, or process improvement consulting.
• Experience building and configuring enterprise solutions on a platform.
• Ability to write precise specifications and evaluate AI-generated outputs.

Responsabilités

• Lead AI deployment with Apollo to build data models and KPIs.
• Define and implement platform solutions across the Process Intelligence Graph and related components.
• Validate outputs for accuracy and business relevance with customer context.
• Drive value creation workshops and define KPIs to measure impact.
• Train customers and enable handover for sustained adoption.

Connaissances

Management consulting

IT consulting

Data/solution consulting

Process improvement

English fluency

Formation

Bachelor’s or Master’s in Technology Management/Business Informatics/CS/Engineering/Business Administration

Outils

PQL

SQL

Python

Description du poste

the company is the trusted platform to industrialize Enterprise AI. At our core is the the company Context Model - which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust the company and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.

The Team

the company Services is the delivery engine of our the company Customer Organization, responsible for turning the the company platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated: as AI agents like our own Apollo take on more of the technical build, our people focus on the work that drives real impact—understanding our customers' business-critical problems, designing the solutions that solve them, and quantifying the value delivered. Our Deployment Engineers and Deployment Architects pair deep domain and industry expertise with serious platform mastery and AI-augmented delivery, directing agentic systems while owning the judgment, architecture, and customer relationships that AI cannot replace. We deliver faster and smarter than ever, and we own the outcome: solution go-live, solution adoption, initial value realization support and the long-term success of our customers.

The Role

As a Senior/ Lead AI Deployment Engineer, you are the backbone of the company delivery. You lead the hands-on implementation of the company solutions for enterprise customers, combining platform expertise with AI-augmented workflows to deliver high-quality outcomes, fast. You use the company’s AI deployment tools as your primary instruments - directing agents to build data models, generate analyses, and configure operational solutions, while applying your own judgment to validate outputs, adapt to customer context, and ensure business relevance.

This is not a traditional consulting role where you build everything manually. You are an AI-augmented delivery professional: you specify what needs to be built, direct AI agents to execute wherever possible, validate the results, and iterate with the customer. You generate value by understanding the customer’s business, translating their needs into technical specifications and solutions, and ensuring the platform delivers measurable impact.

The Work You’ll Do

Initiate and Connect

• Conduct business discovery workshops to translate customers’ strategic objectives into high-impact the company use cases
• Collaborate with the customer’s IT and business stakeholders to define project scope, data requirements, and success criteria
• Ensure data connectivity and extraction pipelines are properly configured, working with specialist resources if required

Build & Value

• Direct AI deployment agents (Apollo) to build data models, process analyses, KPIs, and dashboards - writing clear specifications and validating agent outputs against business requirements
• Build and configure the company solutions across the platform: Process Intelligence Graph, data transformations, process analysis, operational solutions, and AI-powered insights
• Identify process inefficiencies and root causes using the company technology, always in close collaboration with the customer
• Validate AI-generated outputs for accuracy, business relevance, and alignment with customer context - applying domain knowledge where the AI cannot
• Lead value creation workshops and define measures to improve process inefficiencies
• Define and build KPIs measuring the customer’s success and quantify business impact
• Design and build operational solutions to drive value, adoption and improve process conformance

Rollout, Adoption, and Handover

• Enable key customer users to use and extend the solution independently, setting the foundation for long-term adoption
• Manage project outcomes against timelines, scope, and customer expectations
• Train and demonstrate to customer users, guiding them on the path to sustained value
• Document solution design decisions and configurations for future reference and handoff

Domain & Industry Depth

• Develop and maintain deep expertise in one or more process domains (e.g., Supply Chain, Order to Cash, Procure to Pay, IT Service Management) or industry verticals
• Translate domain knowledge into scalable solution patterns, reference architectures, and best practices that the broader team can leverage
• Proactively identify and standardize high-value use cases within your domain, collaborating with Product and Business Apps teams to shape the platform roadmap

What Makes This Role Different in the AI Era

• You work with AI agents as your primary tools - your job is to direct, validate, and refine their output, not to write every line of code or build every analysis manually
• You need strong specification and context engineering skills - the ability to translate a customer’s ambiguous business need into a precise instruction that an AI agent can execute correctly
• You are expected to continuously learn and adapt as AI capabilities evolve, experimenting with new approaches and sharing what works with your peers
• You balance speed with quality - AI accelerates execution, but you own the judgment calls on whether the output is right for this customer
• You think in sustainable software solutions. While AI agents will generate first results quickly, you need to ensure that the operational solutions you build in the company are robust, user friendly, maintainable, and scalable

The Qualifications You Need

• Experience: 4-7+ years in Management or IT consulting, data/solution consulting, or process improvement consulting within software vendors, consulting firms, or system integrators.
• Platform skills: Ability to build and configure solutions on the the company platform, including data modeling, process analysis, KPI definition, and automation. Proficiency in PQL, SQL, and Python.
• AI fluency: Comfort working with AI-assisted development tools (e.g., Claude Code, Codex, Cursor, etc.). Ability to write clear specifications, evaluate AI-generated outputs, and iterate effectively. Experience with prompt engineering or context engineering is a strong plus.
• Business and process domain expertise : Strong understanding /deep expertise (based on seniority level) of enterprise business processes and financial metrics. Knowledge of standard ERPs (SAP, Oracle) and process areas (Inventory Management, Order to Cash, Procure to Pay, Accounts Payable) is a strong plus.
• Consulting skills: Ability to steer customer workshops, present findings to management, manage stakeholder expectations, and deliver outcomes in the face of adversity and ambiguity. Comfortable working with both technical and business audiences.
• Analytical mindset: Excellent problem-solving skills with a value-driven orientation. Ability to translate business requirements into technical solutions and quantify business impact.
• Learning agility: Willingness to continuously develop expertise through experimentation. Comfort with ambiguity and evolving tools.
• Education: Bachelor’s or Master’s in Technology Management, Business Informatics, Computer Science, Engineering, Business Administration, or a comparable field.
• Languages: Fluency in English required. Additional languages are a plus.
• Travel: Willingness to travel to customer location up to 50%, according to customer requirement and project delivery phases.

What the company can offer you:

• Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
• Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
• Unrivaled Family Support: Benefit from our inclusive parental leave policy-24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
• Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
• Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
• Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
• Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
• Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
• Value-Driven Impact: Join a mission-led organization where our core values-Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.

About Us:

the company is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The the company Platform is powered by the the company Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand - turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust the company and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. the company is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the the company Process Intelligence Platform by watching this video.

The company Inclusion Statement:

At the company, we believe our people make us who we are and that "The Best Team Wins". We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.

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