Job Title:  Senior Consultant | Data Analytics | Delhi | Operations, Industry & Domain Solutions

Your work profile

The Technical Architect – AI is responsible for designing and governing scalable AI and data-driven technology solutions for government and public sector programs. The role combines deep technical expertise, architecture leadership, and stakeholder engagement to deliver secure, scalable, and high-impact systems aligned with public sector needs.

Key Responsibilities

1. Solution Architecture & Design

• Define end-to-end architecture for AI-enabled systems:
• AI/ML platforms, analytics systems, and enterprise applications
• Design cloud-native, API-first, and microservices-based architectures
• Ensure scalability, performance, and resilience for large citizen-facing platforms

2. AI & Data Architecture

• Architect solutions leveraging:
• Machine learning, NLP, computer vision, generative AI
• Define:
• Data pipelines, feature stores, model deployment frameworks
• Guide implementation of:
• Data platforms (data lakes, lakehouse, analytics ecosystems)

3. Integration & Modernization

• Lead integration of:
• AI solutions with legacy government systems
• Design interoperability across:
• Multiple departments and platforms
• Drive modernization of existing IT systems using AI and automation

4. Technology Governance & Standards

• Establish and enforce:
• Architecture principles, standards, and best practices
• Ensure compliance with:
• Government regulations, data privacy, and security policies
• Provide design assurance and technical review across programs

5. AI Lifecycle & Responsible AI

• Oversee:
• Model development, validation, deployment, and monitoring
• Ensure:
• Responsible AI (fairness, transparency, explainability)
• Robust MLOps practices for continuous improvement

6. Stakeholder & Engagement Management

• Engage with:
• Government CIOs, IT heads, and program stakeholders
• Translate business and policy needs into:
• Technical architectures and solution designs
• Lead technical workshops, architecture reviews, and solution discussions
• Guide engineering, data science, and vendor teams
• Resolve complex technical issues during implementation
• Ensure alignment between architecture design and delivery execution

Required Education:
BE/B.Tech/MCA/Bachelor's Degree