Enterprise AI Consultant

5 дн. назад

GermanyEurope

aiprocess miningdata analytics

Consult with enterprise clients on AI-driven process optimization using platform.

О компании

is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Platform is powered by the 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 and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
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Обязанности

As a Lead Deployment Architect, you are the technical authority for our strategic accounts within delivery. You shape how solutions are designed, architected, and delivered across your portfolio of strategic customer engagements. You define what good delivery looks like - setting architectural standards, designing end-to-end solution strategies, and ensuring that AI-augmented and agentic workflows are deployed effectively at scale.
You operate at the intersection of deep platform expertise, domain knowledge, and customer strategy. You are equally comfortable leading a technical design review with engineers and presenting a transformation roadmap to a customer’s C-suite. You bridge the gap between pre-sales and post-sales, ensuring that what was promised can be delivered - and often shaping the promise itself.
This role carries significant organizational leverage. You set delivery patterns that other teams follow. You define how AI agents should be orchestrated for complex, multi-workstream engagements. You work in close collaboration with Deployment Engineers and raise the bar for the entire practice.

Требования

Experience: 8+ years in technical consulting, solution architecture, or delivery leadership within enterprise software, consulting firms, or system integrators. At least 3 years in a senior or lead technical role with multi-stakeholder responsibility in large-scale projects at tier-1 organizations (e.g. digital twin implementations, global AI transformations, near-real-time data pipelines, etc.) 
Architecture skills: Proven ability to design complex, multi-component solutions that span data integration, process intelligence, automation, and AI, while remaining grounded in the “so-what” of a customer’s process. Deep understanding of enterprise architecture patterns and trade-offs.
AI & agent orchestration: Demonstrated ability to design AI-augmented delivery workflows leveraging frontier tooling (e.g., Claude Code, Codex, Cursor, etc.). Experience with context engineering, multi-agent system design, or AI validation at scale. Ability to define how AI should be used, not just use it.
Domain expertise: Deep knowledge in at least one major process domain or industry vertical. Ability to translate domain expertise into scalable solution patterns and credible customer advisory.
Customer executive presence: Track record of building trusted advisor relationships with VP and C-level stakeholders. Ability to present transformation strategies, defend architectural decisions, and navigate complex organizational dynamics. Demonstrated experience navigating complex IT landscapes and communicating technical trade-offs to senior leadership.
Platform mastery: Expert-level knowledge of the platform, including the Process Intelligence Graph, data modeling, advanced PQL, automation and orchestration engine, and AI modules. Ability to push the platform’s boundaries via a working knowledge of Python.
Consulting & communication: Exceptional ability to translate between technical and business audiences. Experience leading workshops, design sessions, and strategic reviews with senior stakeholders.
Leadership & mentoring: Demonstrated ability to raise the performance of teams around you. Experience mentoring technical staff, setting quality standards, and contributing to organizational capability development.
Education: Bachelor’s or Master’s in Computer Science, Engineering, Technology Management, Business Informatics, or a comparable field.
Languages: Fluency in English and German required.

Другое

is the trusted platform to industrialize Enterprise AI. At our core is the 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 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.
Services is the delivery engine of our Customer Organization, responsible for turning the 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
Support Services scoping in pre-sales, ensuring the right Services are positioned in line with the solution architecture proposed
Design end-to-end solution architectures for complex enterprise deployments, spanning multiple process areas, business units, and geographies
Define the technical blueprint for how the platform integrates with customer systems, data strategies, and transformation goals
Designing secure, scalable architectures tailored to complex enterprise requirements, optimizing for long-term usage growth and high concurrency.
Make architectural trade-off decisions: build vs. configure, custom vs. standard, phased vs. big-bang - with clear rationale tied to customer outcomes
Own solution quality & outcome delivery across engagements, conducting design reviews, and ensuring delivery teams follow architectural standards
Design how AI deployment agents (Apollo) should be used across complex, multi-workstream engagements, defining agent workflows, validation checkpoints, and quality gates
Develop reusable specifications, templates, and patterns that enable Deployment Engineers to direct AI agents more effectively
Pioneer new delivery approaches that leverage AI to compress timelines, improve quality, or unlock use cases that were previously impractical
Set standards for AI output validation, ensuring the organization maintains quality as delivery accelerates
Serve as the senior technical advisor to strategic customers, building trusted relationships with VP and C-level stakeholders
Translate customer business challenges into platform strategies, identifying high-impact use cases and defining success metrics
Support pre-sales by providing technical credibility in complex deals, validating solution feasibility, and shaping project scope
Guide customers through their Process Intelligence maturity journey, advising on platform expansion, AI readiness, and organizational change
Leverage the broader ecosystem of experts to remove potential blockers in customer engagements
Establish deep, technical advisor relationships with customer stakeholders (Lead Data Engineers and Architects, Head of Data Intelligence, Head of Business Transformation) to provide technical reassurance and maintain "Expert-to-Expert" alignment during the course of the deployment 
Work together with Deployment Engineers on delivery projects to implement the most complex and cutting edge use cases for our customers
Stay on top of the newest technologies has to offer and own the implementation of early stage products for our customers, ensuring close feedback cycles with Product & Engineering
Review Solution(s) Blueprint to ensure quality, scalability and production readiness of business critical and operational use cases
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 in collaboration with the Deployment Engineer, collaborating with Product and Business Apps teams to shape the platform roadmap
Contribute to hiring: define what great looks like for the Deployment job family, conduct interviews, and calibrate candidate assessments
Share knowledge across the organization through internal enablement sessions, documentation, and community of practice leadership
Ensure the link with Product & Engineering to feed customer insights and field experience back into platform development, and to influence the platform roadmap
Scope: You work across multiple engagements and shape solutions across a portfolio/cluster/industry vertical (4+ concurrent clients)
Influence & Practice Development: your Scope allows you to identify and set standards that other teams follow - for solution architecture, AI orchestration patterns, and delivery quality
Bridge: You span pre-sales and post-sales, ensuring continuity between what’s sold and what’s delivered
Force multiplier: Your work multiplies the effectiveness of Deployment Engineers rather than substituting for it
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.
At , 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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