The Role
Owns end-to-end AI-native architecture and integration design for customer engagements, spanning pre-sales solutioning through delivery. Defines reference architectures, design patterns, quality standards, and architecture reviews. Frames customer needs around business outcomes and designs agentic systems using perception, reasoning, planning, bounded autonomy, contextual memory, multi-agent orchestration, telemetry, governance, and runtime observability. Balances AI economics, scalability, hallucination containment, auditability, and adaptive human-AI operating models.
Summary Generated by Built In
Be at the Forefront of the Agentic AI Revolution
At Skan AI, we are pioneering the context engine for human and agentic execution, bringing context from enterprise operators, systems, and processes to power how the world's largest organizations execute their most complex, mission-critical work.
Why Skan AI
We're in hyper-growth mode at exactly the right moment in history. As enterprises race to adopt agentic AI, we're uniquely positioned to deliver the clear signal they desperately need: a platform that trains and grounds AI Agents in trillions of real execution signals, enabling reliable, compliant automation of their most complex processes.
Backed by Dell Technologies Capital and other leading investors, we're the only company that can bridge the gap between AI's promise and enterprise reality, making us perfectly positioned to define the agentic era for modern enterprises.
Our diverse, collaborative team of 250+ innovators is solving category-defining challenges at the intersection of AI, process intelligence, and enterprise work. Diverse perspectives fuel breakthrough thinking, cross-functional collaboration is the norm, and our work directly transforms how Fortune 500 companies operate. We are shaping the future of work itself.
AI Solutions is our global post-sales and professional-services organization — the team that takes process intelligence and agentic AI out of pilots and into production, and owns customer outcomes end-to-end. We are AI-first by default: we spot repeating patterns and build agents to automate them, scaling the value we deliver with the book of business, not with headcount.
The role. Set the technical bar for AI-native delivery and be the first line of defense on every solution we build. You own architecture and solutioning end-to-end — from pre-sales through delivery — and you see the whole picture: not just what the customer asked for, but why they bought us and what they actually need. You translate wants into needs, frame the real problem, and drive it from idea to implementation to impact. This is an AI-native operational-intelligence architect, not a traditional workflow or BPM architect.
What you own
- End-to-end, AI-native architecture and integration design for customer engagements — the build patterns the whole delivery team works to.
- The big picture — understanding why the customer is buying Skan, shaping the real problem behind the stated request, and designing to the outcome.
- Pre-sales solutioning and the architecture gate-review before anything reaches the customer; you are the quality bar.
- Reusable reference architectures, patterns and standards fed into the Center of Excellence.
- Architectures grounded in operational telemetry — the digital twin of work — and built for continuous optimization.
- Agentic systems design — perception, reasoning and planning; bounded autonomy, contextual memory, multi-agent orchestration and runtime observability.
What we look for
- Thinks in systems, not workflows — reasons about enterprise operational behavior, not requirements → approvals → implementation.
- Real agentic depth (well beyond 'instruct the agent' / 'let the agent decide') and telemetry-native intelligence design.
- Sees needs behind wants — frames the business problem and drives idea → implementation → impact.
- Fluent in AI economics — inferencing, token and GPU modeling; scalability, hallucination-containment and auditability tradeoffs.
- Runtime governance of autonomous systems; designs adaptive human + AI operating models.
- Challenges traditional software assumptions; AI-first by default.
Skan AI is an equal opportunity employer committed to building a diverse, inclusive, and respectful workplace around the world. We do not discriminate based on race, color, religion or belief, sex (including pregnancy, sexual orientation, gender identity, or gender expression), national origin, ancestry, age, disability, medical condition, genetic information, marital or family status, military or veteran status, or any other characteristic protected by applicable laws in the locations where we operate.
We welcome people from all backgrounds and provide reasonable accommodations throughout the hiring process.
Skills Required
- Systems architecture and enterprise integration design experience
- Experience with end-to-end customer solutioning from pre-sales through delivery
- Deep expertise in agentic AI systems, including perception, reasoning, planning, bounded autonomy, contextual memory, and multi-agent orchestration
- Experience designing telemetry-native intelligence and operational-intelligence architectures
- Ability to frame business problems and translate customer needs into implementation and business impact
- Knowledge of AI economics, including inferencing, token usage, GPU modeling, and scalability tradeoffs
- Experience addressing hallucination containment, auditability, and runtime governance of autonomous systems
- Ability to design adaptive human and AI operating models
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The Company
What We Do
Skan AI is an enterprise AI company that provides a process intelligence and automation platform. By observing how work actually happens, Skan creates a 'Context Graph of Work' and digital twins of operations. This allows Fortune 500 companies to understand the telemetry of their digital operations, enabling confident automation and lasting transformation through AI agents trained on operational reality.
