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.