Agentic AI

Agentic AI & Enterprise Architecture

Key Responsibilities

1. Agentic AI Operating Model Design

Design and implement Agentic AI-powered operating models for large-scale enterprise transformations

Architect human-AI collaboration frameworks and Digital Delivery Worker ecosystems

Create Centers of Excellence (CoE) for AI-Native delivery practices and governance

Define organizational structures, role definitions, and capability models for AI-augmented teams

Establish metrics frameworks for measuring productivity in human-AI collaborative environments

2. Enterprise Solution Architecture

Lead enterprise architecture initiatives across complex, multi-domain organizations

Design end-to-end solution architectures spanning UI, backend, data platforms, and AI services

Architect cloud-native solutions on either of AWS, Azure, and GCP with focus on scalability and resilience

Understanding of modern data architectures including data lakes, lakehouses, real-time streaming, and AI / ML pipelines

Establish architectural governance, standards, and best practices across technology stacks

3. Engineering Delivery Excellence

Design and optimize Software Development Life Cycle (SDLC) processes for AI-Native delivery

Architect CI / CD pipelines, DevSecOps practices, and automated quality gates

Lead technical due diligence and solution validation for complex transformation programs

Mentor engineering teams on modern development practices and architectural patterns

Drive adoption of platform engineering and developer experience optimization

4. Strategic Consulting Transformation

Lead C-level engagements for digital transformation and AI adoption strategies

Conduct organizational assessments and design target state operating models

Create business cases and ROI models for large-scale technology transformations

Facilitate workshops and design thinking sessions with senior stakeholders

Develop transformation roadmaps with clear milestones, dependencies, and success criteria

Required Qualifications

1. Experience Background

15+ years in enterprise architecture, solution design, and technology consulting

5+ years leading large-scale digital transformations (500+ person organizations)

3+ years hands-on experience with AI / ML platforms and Agentic AI implementations

Proven track record establishing Centers of Excellence and operating model transformations

Experience across Banking, Financial Services, or Technology sectors

2. Technical Expertise

a. Cloud Infrastructure

• Expert-level proficiency in either of AWS, Azure, or GCP cloud platforms
• Deep understanding of Kubernetes, Docker, microservices architecture
• Experience with Infrastructure as Code (Terraform, CloudFormation, ARM templates)
• Knowledge of cloud security, compliance frameworks (SOC2, PCI-DSS, GDPR)

b. Data Analytics

c. AI Machine Learning

d. Software Engineering

e. Leadership Consulting Skills

Agentic AI,AWS, Azure, GCP, Kubernetes, Docker,CI / CD, Python, Java, JavaScript, C#