Principal Architect – AWS Agentic AI & Data Modernization

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 operations.

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.

Why Join US

You will have the opportunity to shape a next-generation AWS consulting practice focused on Agentic AI, Data Modernization, and Enterprise Transformation. As a founding technical leader, your work will influence our products, engineering culture, customer success, AWS partnership, and long-term growth strategy while solving complex business problems for global enterprises.