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SU
Sulzer

Workplace AI Architect

LocationPune
Typefull-time
SeniorityLead
Experience8+ yrs
Company size10,000+ people
PostedJul 8, 2026 · 3mo ago
Verified live13h ago
At a glanceSummarised by Seekless from the posting.
Must have16
8-10+ years in enterprise IT, architecture, or transformation roles, with experience in governance, platform strategy, or large-scale adoption
Senior expert / enterprise architect level
Strong understanding of enterprise AI platforms (e.g. Microsoft 365 Copilot) and assistant and agent-based tooling, and of GenAI / agent-based architectures
Deep knowledge of platform vs. custom-development trade-offs and licensing models
Experience defining operating models and governance standards
Proven experience defining and rolling out enterprise AI governance frameworks or platform-adoption strategies
Familiarity with AI security controls and applicable regulation (EU AI Act, GDPR, responsible-AI guidance)
Deep familiarity with cloud platforms (Microsoft ecosystem preferred)
Familiarity with chargeback or FinOps models, ideally applied to AI or cloud services
Working knowledge of enterprise AI licensing and the ability to translate licensing constraints into platform and routing decisions
University degree in IT, Computer Science, or a related field
Strategic and structured thinking
Clear, pragmatic communication, including the ability to translate technical standards for business users and citizen developers
Sound decision-making in complex, ambiguous environments
Comfort balancing innovation with control
Fluent English required
Nice to have3
Microsoft, AI, or cloud certifications preferred
Security and compliance certifications a plus
Additional languages a plus
Eligibility1
Sulzer is an equal opportunity employer
Skills
Microsoft 365 Copilot
Microsoft ecosystem
GenAI
agent-based architectures
cloud platforms
FinOps
Benefits
Health insurance
Transportation
About the company
Sulzer is a leading engineering company with a proud heritage of innovation. Join our global team to grow your expertise and develop innovative solutions that enable a prosperous and more sustainable society.
About the role
Define and govern the adoption of AI across Workplace and platform-based solutions, with a strong focus on out-of-the-box capabilities, integrations, and security. Act as the orchestration point across Software Development, Data & Analytics, business users, and platform owners, ensuring consistent routing of AI initiatives. Drive the transition from ad-hoc usage to controlled, scalable adoption through clear governance, measurement, and chargeback, positioning AI as an extension of existing platforms rather than a parallel capability. The role focuses on Workplace AI platforms and embedded capabilities such as Microsoft 365 Copilot, AI assistants, and collaboration tools.
Main accountabilities and tasks
•
AI Roadmap & Out-of-the-Box Ownership: Own the AI roadmap for Workplace and platform-based AI capabilities and the adoption of out-of-the-box solutions; contribute to the cross-functional definition of AI architecture; establish AI as a coherent enterprise capability.
•
Platform-First, Preview & Early-Access Ownership: Prioritise out-of-the-box capabilities over new builds; own the evaluation, piloting, and rollout of preview features and vendor early-access programmes; track and govern AI features increasingly embedded in existing enterprise services.
•
Governance of Services, Integrations & Agents: Establish a single enterprise entry point and a risk-based approval process, supported by self-service guardrails and clear approval timelines so the front door enables rather than blocks; govern AI services, integrations, APIs, and the lifecycle of AI agents; ensure every AI asset is inventoried, owned, and operated within agreed controls.
•
Routing of AI Initiatives Across Delivery Tracks: Define and govern how AI initiatives are routed across delivery tracks - out-of-the-box, preview, and early-access (this role); citizen development (business users, against standards set by this role); custom development and advanced integrations (Software Development); and analytics-driven solutions (Data & Analytics).
•
Security, Risk & Compliance (with Infosec): Together with Infosec, define and enforce AI-specific controls under a clear split of accountability for who defines, approves, and enforces; ensure compliance with GDPR and the EU AI Act; govern third-party AI usage and minimise shadow-AI risk.
•
AI Lifecycle Management: Govern the full lifecycle covering build, publish, operate, and retire; ensure ownership, inventory, and transparency for every AI solution; enforce environment-based controls across experiment, managed, and production.
•
Business Value, Chargeback & Adoption: Define how AI business value is measured; build and operate a chargeback model so consumption is transparent and costs sit with the consuming business; drive adoption and track it against value realisation.
•
User Support, Enablement & Training: Act as the primary point of contact for AI adoption; provide patterns, guardrails, and reusable templates so users can build safely; deliver training, documentation, and onboarding paths that build AI literacy across the organisation.
Desired experience and qualifications
•
Work experience: 8-10+ years in enterprise IT, architecture, or transformation roles, with experience in governance, platform strategy, or large-scale adoption.
•
Expertise: Senior expert / enterprise architect level. Strong understanding of enterprise AI platforms (e.g. Microsoft 365 Copilot) and assistant and agent-based tooling, and of GenAI / agent-based architectures; deep knowledge of platform vs. custom-development trade-offs and licensing models; experience defining operating models and governance standards.
•
Governance & regulation: Proven experience defining and rolling out enterprise AI governance frameworks or platform-adoption strategies; familiarity with AI security controls and applicable regulation (EU AI Act, GDPR, responsible-AI guidance).
•
Cloud & FinOps: Deep familiarity with cloud platforms (Microsoft ecosystem preferred); familiarity with chargeback or FinOps models, ideally applied to AI or cloud services; working knowledge of enterprise AI licensing and the ability to translate licensing constraints into platform and routing decisions.
•
Education & certifications: University degree in IT, Computer Science, or a related field; Microsoft, AI, or cloud certifications preferred, with security and compliance certifications a plus.
•
Soft skills: Strategic and structured thinking; clear, pragmatic communication, including the ability to translate technical standards for business users and citizen developers; sound decision-making in complex, ambiguous environments; comfort balancing innovation with control.
•
Languages: Fluent English required; additional languages a plus.
What we offer you
Medical insurance for self and family
Company sponsored transportation facility
Legal
Sulzer is an equal opportunity employer. We believe in the strength of a diverse workforce and are committed to offering an inclusive work environment.
We are proud to be recognized as a Top Employer 2026 in Brazil, Canada, China, Finland, Germany, Ireland, Mexico, Switzerland, South Africa, the UK and the USA.
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