Aws Solution Architect- Agentic AI and Data Modernization

Useready; Pune District, Gurugram District, Bengaluru; Hybrid; INR 5,000,000 - 9,000,000; Full time

Job summary

USEReady Inc. is seeking a Principal Architect for the AWS Agentic AI & Data Modernization Practice in Pune/Bengaluru. You will define architecture standards, reusable IP, and technical direction to power a high-growth consulting practice across industries.

As a founding technical leader, you will collaborate with pre-sales, delivery, and AWS partner teams to create repeatable modernization solutions and drive enterprise transformation, governance, and engineering excellence.

Qualifications

• 10+ years in enterprise architecture, cloud modernization, or solution architecture.
• Minimum 5 years of hands-on AWS architecture delivering enterprise-scale AI & cloud solutions.
• AWS SA Professional certification preferred.
• Proven experience leading architecture for large-scale modernization or digital transformation programs.
• Strong consulting background with multiple client engagements and industries.
• Experience designing AWS-native data platforms and modern analytics architectures.
• Experience with AWS Transform and migration assessment tooling.

Responsibilities

• Lead architecture governance, engineering standards, and design reviews across the practice.
• Define target-state architectures and modernization roadmaps aligned with business objectives.
• Act as trusted technical advisor to client leadership and partner teams.
• Design AWS-native data platforms and enterprise data products.
• Build reusable architectures, accelerators, and playbooks for data platforms and AI workloads.
• Mentor architects, technical leads, and engineering teams.

Skills

Executive stakeholder management

Solution architecture

AWS architecture

Cloud modernization

Consulting

Leadership

Mentoring

Education

AWS Certified Solutions Architect – Professional

Tools

AWS

Terraform

CDK

CloudFormation

Bedrock

Kubernetes

Job description

USEReady is a global analytics and data management solutions company that helps enterprises harness the power of data to drive smarter decisions. With a strong presence across North America, USEReady partners with Fortune 500 companies to deliver end-to-end analytics, BI, data engineering, and AI/ML solutions. Our Bangalore office serves as a key hub for our finance, technology, and delivery operationsWe work closely with technology leaders such as AWS, Elementum, Snowflake, Tableau, Databricks, and others to help organizations modernize analytics, strengthen governance, and deploy agentic automation with confidence. Headquartered in New York City with 450+ experts across the United States, Canada, India, and Singapore, we serve industries including financial services, healthcare, manufacturing, government, education, and retail. Our deep expertise, player-coach delivery model, and focus on fast, measurable results make us a trusted partner for building an AI-ready enterprise. https://www.useready.com/

Principal Architect AWS Agentic AI & Data Modernization

Location: Hybrid / Pune/Bengaluru

Practice: AWS Agentic AI and Data Modernization

About the Role

As one of the founding technical leaders of our AWS Agentic AI & Data Modernization Practice, you will define the architecture, standards, reusable IP, and technical direction that will power a high-growth consulting practice.

This is not a project-specific architecture role. You will work across pre-sales, discovery, product engineering, delivery, and AWS partner teams to create repeatable modernization solutions that accelerate enterprise transformation across industries.

Key Responsibilities

Client Advisory & Solution Architecture

• Lead executive discovery workshops to assess current-state architecture, business processes, data landscape, and modernization opportunities.
• Define target-state architectures and multi-year modernization roadmaps aligned with business objectives.
• Act as the trusted technical advisor to client technology and business leadership.

AWS Data & AI Architecture

• Design modern AWS-native data platforms including ingestion, storage, transformation, governance, semantic layer, and data products.
• Architect enterprise data products using domain-driven design principles.
• Establish architecture standards for performance, scalability, resiliency, observability, and cost optimization.

Agentic AI Architecture

• Design and build enterprise Agentic AI solutions using Amazon Bedrock, multi-agent orchestration, RAG, knowledge bases, and responsible AI principles.
• Assess existing AI agent platforms and define modernization strategies to AWS-native architectures.
• Establish architecture patterns for responsible AI, guardrails, evaluation, prompt management, security, and governance.

Migration & Modernization and Practice Development

• Lead modernization strategies using AWS Transform.
• Build reusable architecture blueprints and accelerators for data platforms, analytics, AI workloads, and enterprise applications.
• Drive technical innovation across the practice.
• Conduct architecture governance and risk reviews.
• Conduct architecture risk assessments and define mitigation strategies for complex transformation programs.

Technical Leadership

• Establish architecture governance, engineering standards, design review processes, and best practices.
• Mentor Solution Architects, Technical Leads, and Engineering teams.
• Guide engineering teams on implementation approaches, cloud-native patterns, and technical quality.
• Promote engineering excellence through automation, Infrastructure-as-Code, DevSecOps, and observability practices.
• Foster a culture of innovation, continuous learning, and technical excellence.

Required Qualifications

• 10+ years of experience in enterprise architecture, cloud modernization, or solution architecture.
• Minimum 5 years of hands-on AWS architecture experience delivering enterprise-scale AI & cloud solutions.
• AWS Certified Solutions Architect Professional certification preferred.
• Proven experience leading architecture for large-scale modernization or digital transformation programs.
• Strong consulting background with experience working across multiple client engagements and industries.
• Demonstrated experience designing AWS-native data platforms and modern analytics architectures.
• Experience with AWS Transform and migration assessment tooling.

Nice to Have

• Experience across multiple industry verticals (financial services, healthcare, retail, manufacturing, etc.)
• Familiarity with mortgage or broader lending/fintech domain (loan origination systems, underwriting, servicing)
• Experience with Snowflake, Databricks, Microsoft Fabric, Tableau, or Power BI modernization.
• Public speaking, blogging, conference presentations, or open-source contributions.

Technical Expertise

Strong hands-on experience with:

• AWS Platform: Core AWS data, analytics, serverless, integration, networking, security, and observability services.
• Agentic AI: Amazon Bedrock, Bedrock Agents, AgentCore, Guardrails, RAG, Q, Prompt engineering and prompt management, multi-agent orchestration.
• Data Engineering: Lakehouse, Spark, Iceberg, Delta, streaming, governance, semantic modeling.
• Cloud Engineering: Terraform, CDK, CloudFormation, Kubernetes, Docker, CI/CD, DevSecOps.

Consulting & Leadership Skills

• Executive-level communication and presentation skills.
• Ability to facilitate architecture workshops and executive discovery sessions.
• Strong business acumen with the ability to connect technology decisions to business outcomes.
• Experience building technical roadmaps, business cases, and modernization strategies.
• Ability to lead cross-functional teams without direct authority.
• Strong mentoring and coaching capabilities.

What Success Looks Like

• Established the reference architecture and technical standards for the AWS Agentic AI & Data Modernization Practice.
• Led architecture for multiple successful client modernization programs.
• Built reusable frameworks, accelerators, and technical playbooks that significantly reduce delivery effort.
• Developed strong technical relationships with AWS partner teams.
• Mentored architects and engineers while fostering a culture of engineering excellence.
• Helped scale a high-performing AWS modernization practice through technical leadership, innovation, and repeatable delivery.