Principal AI Architect (10+ Years)

Job Information Job Title: Principal AI Architect Department: Product Engineering Location: Chandigarh / Hyderabad Employment Type: Full Time Experience Required: 12+ years in software engineering and architecture, including 10+ years in AI/ML (Computer Vision, NLP, Predictive Analytics, Recommendation Systems, etc.) and 2-3 years delivering enterprise Generative AI solutions. Working Model: Work From Office / Hybrid / Remote Role Summary We are seeking a Principal AI Architect to lead VT Netzwelt's AI-first transformation. You will bridge business challenges with enterprise AI solutions, serving as a trusted advisor to clients while providing technical leadership across our AI practice. The ideal candidate has a strong foundation in traditional AI and has successfully transitioned into enterprise Generative AI. You should combine deep software engineering, solution architecture and consulting experience to design scalable, secure and production-ready AI platforms. This role combines enterprise architecture, client consulting, technical leadership and pre-sales, helping customers defi ne AI strategy, architect solutions and successfully adopt AI at scale. Key Responsibilities Strategic AI Advisory & Readiness Lead AI discovery workshops and readiness assessments. Assess business processes, data maturity and technology landscape. Develop AI adoption roadmaps with measurable business outcomes. Advise executive stakeholders on AI strategy and transformation. Outcome-Driven Solution Architecture Architect end-to-end AI platforms that solve business problems. Produce HLDs, LLDs, architecture documentation and implementation roadmaps. Design secure, scalable cloud-native solutions following modern engineering practices. Balance business value, scalability, maintainability and operational excellence. Enterprise AI Transformation Integrate AI with CRM, ERP, eCommerce and enterprise platforms. Defi ne API-first, event-driven and distributed architectures. Design production deployments emphasizing scalability, resilience and governance. Generative AI & Agentic AI Leadership Architect enterprise Gen AI solutions including RAG, AI Assistants, Enterprise Search and Agentic AI. Design modern agent ecosystems using MCP, A2A, tool calling, workflow orchestration, long-running agents, memory strategies and human-in-the-loop workflows. Defi ne production standards covering evaluation pipelines, prompt versioning, guardrails, hallucination mitigation, AI observability, model routing, benchmarking and inference cost optimization. Recommend appropriate LLMs, orchestration frameworks and deployment strategies. Software Engineering Excellence Establish engineering standards covering Git, branching, code reviews, CI/CD, automated testing, secure SDLC, Infrastructure as Code and documentation. Standardize AI lifecycle management including deployment, prompt versioning, evaluation automation and release management. Ensure AI systems are production-ready, maintainable, observable and reusable. Mentor engineering teams and promote engineering excellence. Client Consulting & Pre-Sales Lead discovery workshops, technical consulting and AI strategy engagements. Collaborate with Sales during pre-sales, solutioning and proposal development. Translate business challenges into scalable AI architectures. Present AI strategy and solution roadmaps to executive and C-suite stakeholders. Change Management & Adoption Guide enterprise AI adoption and organizational transformation. Support implementation, rollout and adoption of AI-driven business processes. Technical Leadership & Governance Define enterprise AI architecture standards, design reviews and engineering governance. Establish Responsible AI, security, privacy, explainability, model governance, data lineage, AI risk management and compliance-by-design practices. Ensure compliance with GDPR, HIPAA, SOC2 and emerging AI regulations including the EU AI Act. Mentor architects and engineers while driving technical excellence and innovation. Required Skills & Competencies Experience 12+ years in software engineering, architecture or enterprise technology. 10+ years delivering traditional AI/ML solutions. 2-3 years building enterprise Gen AI applications. Proven experience architecting enterprise-scale AI platforms. Consultative Mindset Strong client-facing consulting and executive communication skills. Ability to translate business challenges into practical AI solutions and articulate measurable ROI. Solution .