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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 – Qualified 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 chance 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.

📌 Principal Architect AWS Agentic AI & Data Modernization (Pune)
🏢 USEReady
📍 Pune