Principal AI Architect

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…