Solutions Architect

Skan AI; Bengaluru; On-site; INR 3,000,000 - 4,600,000; Full time

Job summary

Skan AI is seeking an AI-native operations architect to own end-to-end architecture and solutioning for customer engagements. You will translate customer requests into real problems and drive ideas to implementation, shaping outcomes with telemetry-driven designs.

The role emphasizes agentic systems, cross-functional collaboration, and architectural governance to ensure scalable, auditable deployments.

Qualifications

• Thinks in systems, not workflows, focusing on enterprise behavior.
• Depth in agentic AI with telemetry-native design and insights.
• Frames business problems from needs to impact and drives implementation.

Responsibilities

• End-to-end AI-native architecture and integration design for engagements.
• Understand why the customer buys and shape the real problem behind requests.
• Lead pre-sales solutioning and architecture gate-review before delivery.
• Develop reusable reference architectures and standards for the COE.
• Base architectures on operational telemetry and digital twin concepts.
• Design agentic systems with perception, reasoning, and multi-agent orchestration.

Skills

Systems thinking

Agentic AI depth

Telemetry-native design

Problem framing

AI economics

Runtime governance

AI-first mindset

Job description

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.

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 to approvals to 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 to implementation to 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.