Company Description StatusNeo is a Silicon Valley–headquartered consulting and engineering firm focused on making AI real, scalable, and accountable for global enterprises. The company builds “Authentic AI” that is embedded into how businesses decide, build, and operate, rather than added as a superficial layer.

Its approach combines the AuthenticAI™ framework with a “Decision Fabric” that unifies strategy, data, systems, and execution into measurable business outcomes. StatusNeo partners with organizations across the full transformation lifecycle, from strategic and domain consulting to product/platform engineering, AI-native SDLC and DevSecOps, and managed transformation and operations. With global delivery across the US, EMEA, and APAC and clients in financial services, telecom, healthcare, travel, retail, and high-tech, StatusNeo helps enterprises shift from digital ambition to AI-native execution.

Role Description The Enterprise AI Architect is responsible for designing and guiding end-to-end AI architectures that connect business strategy, data, applications, and platforms into cohesive, outcome-driven solutions. In this full-time remote role, the individual collaborates with business and technology stakeholders to define AI-enabled enterprise architectures, translate strategic objectives into technical blueprints, and ensure alignment with AuthenticAI™ and Decision Fabric principles.

Day-to-day activities include assessing current architectures, identifying AI integration opportunities, defining reference architectures and patterns, and overseeing solution design across cloud, data, and application layers. The Enterprise AI Architect also provides technical leadership to engineering teams, supports AI-native SDLC and DevSecOps practices, contributes to architecture governance,



and ensures scalability, security, and compliance across AI initiatives.

About the Role

We are looking for an experienced Enterprise AI Architect with 10+ years of experience to lead the design and implementation of enterprise-scale Artificial Intelligence and Generative AI solutions. The ideal candidate will possess deep expertise in

AI/ML architecture, GenAI platforms, cloud technologies, MLOps, and enterprise solution design.

Key Responsibilities

- Design scalable AI/ML and Generative AI solutions.
- Architect RAG, Agentic AI, and LLM-based platforms.
- Define AI governance, security, and compliance frameworks.
- Collaborate with business stakeholders to develop AI roadmaps.
- Lead architecture decisions across cloud environments.
- Drive MLOps best practices and production-grade deployments.
- Evaluate emerging AI technologies and recommend adoption strategies.
- Mentor engineering teams and provide technical leadership.

Required Skills

- 10+ years of overall IT experience.
- Robust architecture experience in AI/ML solutions.
- Hands-on experience with GenAI technologies and LLMs.
- Expertise in Azure OpenAI, Azure AI Services, AWS Bedrock, OpenAI, or similar platforms.
- Experience with RAG architectures, Vector Databases, LangChain, Semantic Kernel, or equivalent frameworks.
- Experience with Eval, DeepEval & RAGAS.
- Strong understanding of MLOps, CI/CD, mode monitoring, and governance.
- Knowledge of Databricks, Azure ML, SageMaker, or similar platforms.
- Cloud expertise in Azure and/or AWS.
- Excellent stakeholder management and communication skills.

Preferred Skills

- AI Governance and Responsible AI frameworks.
- Multi-cloud architecture experience.
- Enterprise transformation or consulting background.
- Experience leading large-scale AI initiatives

📌 Enterprise AI Architect (Gurugram)
🏢 StatusNeo
📍 Gurugram