Role Overview The Data & AI Architect (AWS) is responsible for designing and delivering enterprise-grade data platforms and AI-enabled solutions on Amazon Web Services (AWS). This role provides architectural leadership across data engineering, analytics, machine learning, and generative AI, supporting large-scale cloud modernization and AI-led transformation programs.
The architect partners with Sales, Industry Teams, Cloud Architects, and Delivery to shape scalable, secure, and cost-effective AWS data and AI architectures that align to client business objectives and TCSs AI.Cloud and AWS partnership strategy.
Key Responsibilities - AWS Data Platform Architecture
- Architect end-to-end AWS data platforms including data lakes, lakehouse architectures, streaming platforms, and analytics layers.
- Design solutions using AWS services such as Amazon S3, Glue, Athena, Redshift, EMR/Spark, Kinesis, Lambda, and managed databases.
- Define data ingestion, transformation, and orchestration patterns (batch, streaming, real-time) for large-scale enterprise workloads.
- Establish data governance, security, and access-control frameworks aligned with enterprise and regulatory standards.
- AI, ML & GenAI Architecture
- Design and guide implementation of AI/ML solutions on AWS, including model development, training, deployment, and lifecycle management.
- Architect GenAI and agentic AI solutions leveraging AWS services such as Amazon Bedrock, SageMaker, vector databases, and AI orchestration platforms.
- Define MLOps and LLMOps patterns for scalable, reliable, and cost-efficient AI operations.
- Ensure Responsible AI practices including security, privacy, explainability, and governance.
- Solution Shaping & Client Engagement
- Partner with Sales and Solution Architects to shape data and AI solution strategies for proposals and large AWS pursuits.
- Translate business requirements into scalable AWS data and AI architectures with clear value articulation.
- Engage with client stakeholders (Data Leaders, Analytics Heads, AI Leads) to act as a trusted technical advisor.
- Delivery & Architecture Governance
- Provide architectural oversight during delivery to ensure adherence to approved designs and best practices.
- Mentor data engineers, ML engineers, and platform teams on AWS data and AI patterns.
- Support performance tuning, cost optimization (FinOps), and operational readiness of AWS data and AI platforms.
- AWS Alliance & Innovation
- Align architectures to AWS Well-Architected Framework and AWS data & AI best practices.
- Collaborate with AWS teams on joint innovation initiatives, accelerators, and PoCs.
- Contribute to reusable assets, reference architectures, and industry-specific data & AI offerings for AWS.
Required Experience & Qualifications - 1015+ years of experience in data architecture, analytics, or AI/ML engineering, with strong focus on AWS.
- Proven experience designing and delivering enterprise data lakes, analytics platforms, and AI solutions on AWS.
- Strong hands-on knowledge of AWS data services, AI/ML services, and distributed data processing frameworks.
- Experience with cloud data migration, modernization, and large-scale platform implementation.
- Ability to translate com plex technical architectures into business outcomes.
Preferred Attributes - Experience with GenAI, LLMs, vector search, and agentic AI patterns on AWS.
- Industry experience in Life Sciences, Healthcare, Manufacturing, Financial Services, or Transportation.
- Familiarity with Databricks on AWS and third-party data ecosystems.
- AWS certifications such as Data Analytics, Machine Learning, or Solutions Architect.
Salary Range: $132,000-$178,250 a year
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