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Deloitte —Delhi
- Master's degree
- Bachelor's degree
- Machine learning
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Senior Consultant | Data Analytics | Delhi | Operations, Industry & Domain Solutions

Deloitte -
Delhi

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Job details

2 days ago

Qualifications

Image processing
Master's degree
MCA
Bachelor's degree
Machine learning
Natural language processing
APIs
B.E.
Data science
AI

Full job description

Job requisition ID :: 104886

Date: Jun 3, 2026

Location: Delhi

Designation: Senior Consultant

Entity: Deloitte Touche Tohmatsu India LLP

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

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