Sr. Director, AI Solutions

Skanai; India; On-site; INR 5,500,000 - 7,500,000; Full time

Job summary

Skan AI is pioneering agentic AI platforms and the context engine that powers large-scale enterprise automation. The AI Solutions Architect leads the technical strategy, design, and productization of out-of-the-box solution frameworks built on Skan’s Process Intelligence and Agentic platforms.

This elite role translates real-world customer telemetry into scalable, secure software assets, supervising reference architectures, and driving integration with ERP/CRM stacks while guiding PS and partner

Qualifications

• 10+ years of progressive software engineering or enterprise platform architecture experience.
• 3+ years leading GenAI, LLM orchestration, or multi-agent networks in production.
• Executive communication skills with C-suite stakeholders.
• Domain fluency in BPM, process mining, or related paradigms.

Responsibilities

• Establish reference architectures and reusable patterns for Skan Intelligence and Skan Agents.
• Architect a rigid Core vs. Extension infrastructure for framework products.
• Incorporate LLM primitives, RAG, and multi-agent graphs into solution frameworks.
• Manage release roadmaps, backlogs, and CI/CD packaging for client environments.

Skills

Solution architecture

Leadership

Executive presence

Domain fluency BPM

CI/CD & DevOps

Tools

Cursor

Claude API

LangGraph

LLMOps

Vector search

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.

Position Overview

As the AI Solutions Architect, you will lead the technical strategy, design, and productization of out-of-the-box (OOB) solution frameworks built on top of Skan’s Process Intelligence and Agentic platforms. Reporting to senior engineering leadership, you will serve as the premier architectural authority translating real-world customer deployment patterns into scalable, secure, and production-ready software assets.

This is an elite, high-agency role that blurs the lines between advanced system architecture, technical product management, and AI-accelerated development. You will be an expert practitioner of "vibe coding"—using advanced AI assistants (e.g., Cursor, Claude, LLM-native IDEs) to rapidly prototype and build reusable solution modules. You will transform bespoke client deliverables—such as Operations Manager Dashboards, Controls & Quality Monitoring, and vertical-specific Process Health Indexes—into version-controlled, highly customizable blueprint products that our Professional Services (PS) organization and global partners can scale across Fortune 500 accounts.

Key Responsibilities

1. AI-Powered Prototyping & "Vibe Coding" Execution

• Rapid High-Fidelity Building: Directly leverage advanced AI coding tools (e.g., Cursor, Claude, v0, Copilot) to rapidly orchestrate, test, and spin up functional, high-fidelity solution prototypes from raw client telemetry.
• Accelerate Delivery Velocity: Collapse the distance between process discovery and working software by using conversational development to bypass standard engineering boilerplate, focusing your time on system logic, edge cases, and user experience.
• Enterprise Grade Vibe-coded apps: Use vibe-coded outputs to deploy production grade apps based on enterprise design patterns, security and best practices.
• Lead by Example: Serve as the internal evangelist for AI-augmented development, establishing best practices for how Skan's solutions engineering and PS teams can safely use AI code generation to build custom extensions without introducing technical debt.

2. Solution Architecture & Pattern Productization

• Establish Reference Architectures: Systematically audit custom customer builds to isolate repeatable telemetry, analytical, and agentic workflows. Design and evolve standard reference architectures and reusable patterns for Skan Intelligence and Skan Agents.
• Abstract Core Logic: Architect a rigid "Core vs. Extension" infrastructure for all framework products. Ensure the underlying analytical model is locked and deterministic, while allowing client-specific application stacks (ERPs, CRMs, core transactional systems) to be mapped via configuration metadata.
• Incorporate Advanced AI Capabilities: Embed native LLM primitives, stateful multi-agent interaction graphs (e.g., LangGraph), and advanced Retrieval-Augmented Generation (RAG) into the solution frameworks to handle complex, unstructured operational tasks.
• Lifecycle & Upkeep Management: Treat all solution frameworks as live software products. Manage their release roadmaps, feature backlogs, and continuous regression testing to guarantee complete compatibility as Skan’s core platform primitives evolve.
• Rigorous Release Engineering: Enforce software configuration discipline across the solution stack. Implement strict semantic version control (Git-based), branching strategies, and automated CI/CD packaging pipelines to deliver clean artifact updates to client environments.
• Platform Feedback Loop: Act as the strategic bridge back to the Core Product team. Advocate for new platform capabilities, APIs, or agent behaviors discovered during field deployments.

4. Professional Services Enablement & Scaling

• Create Implementation Playbooks: Develop robust technical deployment blueprints, configuration guides, and troubleshooting runbooks for each productized solution framework.
• Upskill the Field: Lead technical enablement workshops and design certification paths to empower Skan's Professional Services organization, Solutions Engineers, and System Integrator (SI) partners to adopt, deploy, and customize frameworks autonomously.
• Govern Customizations: Review critical architecture decisions and field extensions to ensure custom client configurations adhere to strict platform standards without breaking base upgrade paths.
• Hire, develop, and inspire a growing team of AI and full-stack engineers, fostering a high-accountability culture focused on innovation, quality, and platform excellence.
• Collaborate and drive alignment across internal organizations — including Product, Infrastructure, and Go-to-Market — ensuring AI platform initiatives are well-integrated, business-relevant, and executed with a cohesive cross-functional strategy.
• Cultivate and manage third-party vendor partnerships, strategically leveraging external expertise and resources to complement internal capabilities, expand team capacity, and meet development milestones at pace.

Required Technical Qualifications & Experience

• Experience: 10+ years of progressive software engineering or enterprise platform architecture experience, with a minimum of 3+ years strictly leading the design and deployment of GenAI, LLM-orchestration, or multi-agent networks in production.
• AI Tooling Mastery: Deep, demonstrable hands-on mastery of advanced AI coding environments (Cursor, Claude API, programming with LLMs) to build and deploy code at extreme velocity.
• Leadership & Influence: Proven track record as a technical leader and multiplier, with an innate ability to coach senior engineers and influence cross-functional Product, Engineering, and Security stakeholders without direct authority.
• AI & Data Primitives: Deep mastery of vector search engineering, Graph RAG, agent orchestration runtimes (e.g., LangGraph, AutoGen), and distributed event streaming.
• CI/CD & DevOps Discipline: Strong hands-on background in release management, infrastructure-as-code, prompt/config management, and building automated evaluation and observability frameworks (LLMOps).
• Domain Fluency: Excellent understanding of business process management (BPM), task-mining, or process-mining paradigms. Experience converting raw user activity data into structured technical roadmaps is critical.
• Executive Presence: Exceptional written and verbal communication skills, with a demonstrated ability to articulate complex technical trade-offs (latency, token unit economics, non-deterministic risks) to C-suite stakeholders and client IT governance boards.

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.