Agentic AI

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
- Expertise in modern data architecture patterns (Data Mesh, Data Fabric, Lakehouse)
- Proficiency with data platforms (Snowflake, Databricks, AWS Redshift, Azure Synapse)
- Experience with real-time streaming (Kafka, Kinesis, Event Hubs)
- Knowledge of data governance, lineage, and quality frameworks

c. AI & Machine Learning
- Hands-on experience with Agentic AI platforms and multi-agent orchestration
- Proficiency in LLM integration, prompt engineering, and RAG architectures
- Understanding of MLOps, model lifecycle management, and AI governance
- Experience with AI/ML platforms (Azure AI, AWS SageMaker, Google AI Platform)

d. Software Engineering
- Proficiency in multiple programming languages (Python, Java, JavaScript, C#)
- Deep understanding of API design, event-driven architecture, and integration patterns
- Experience with modern frontend frameworks (React, Angular, )
- Knowledge of database technologies (SQL, NoSQL, Graph databases)

e. Leadership & Consulting Skills
- Executive presence with ability to influence C-level stakeholders
- Proven ability to lead cross-functional teams of 20+ members