Exponentia.ai
Website:
exponentia.ai
Job details:
About Exponentia.ai
Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.
We are proud partners with global technology leaders such as Databricks, Microsoft, AWS, and Qlik, and have been consistently recognized for innovation, delivery excellence, and trusted advisories.
Awards & Recognitions
- Innovation Partner of the Year - Databricks, 2024
- Digital Impact Award, UK - 2024 (TMT Sector)
- Rising Star - APJ Databricks Partner Awards 2023
- Qlik's Most Enabled Partner - APAC
About The Role
We are seeking a Solution Architect - AWS AI/ML to lead the end-to-end architecture of an enterprise-scale Propensity Model Development Platform on AWS. The role involves designing scalable data and ML architectures, defining MLOps and governance frameworks, and guiding cross-functional teams to deliver secure, reliable, and business-impacting AI solutions.
The ideal candidate will combine strong AWS architecture expertise with data engineering, machine learning, stakeholder management, and solution governance capabilities to drive successful platform implementation.
Key Responsibilities
Solution Architecture & Design :
- Translate business objectives and propensity-model use cases into scalable solution architectures and implementation roadmaps.
- Define target-state architecture covering data ingestion, transformation, feature engineering, model training, deployment, and consumption.
- Design secure, scalable, and cost-optimized AWS-based AI/ML platforms.
AWS Data & ML Platform Architecture
- Architect solutions using AWS S3, Glue, Athena, Redshift, SageMaker, Lambda, IAM, Lake Formation, CloudWatch, EventBridge, and related services.
- Define architecture for batch and real-time model scoring, feature stores, model registries, and monitoring frameworks.
- Establish integration patterns, APIs, and environment management strategies.
MLOps, Security & Governance
- Define CI/CD and MLOps approaches for model development, deployment, and lifecycle management.
- Establish architectural guardrails for security, IAM, encryption, networking, auditability, lineage, and compliance.
- Ensure adherence to responsible AI, governance, and data management best practices.
Technical Leadership & Stakeholder Engagement
- Lead architecture reviews and provide technical direction to Data Scientists, ML Engineers, Data Analysts, and client engineering teams.
- Own architecture blueprints, solution diagrams, interface specifications, and technical documentation.
- Facilitate workshops, align stakeholders, and drive technical decision-making across teams.
Risk Management & Delivery Support
- Identify architectural risks, dependencies, assumptions, and mitigation strategies.
- Support implementation, deployment, troubleshooting, and performance optimization activities.
- Ensure solutions meet reliability, scalability, maintainability, and cost objectives.
Ideal Candidate Profile
- 6 - 8 years of experience in Cloud Architecture, Data Engineering, AI/ML Solutions, or Analytics Platforms.
- Strong expertise in AWS architecture and cloud-native AI/ML solutions.
- Experience designing enterprise-scale data lakes, MLOps platforms, and machine learning ecosystems.
- Strong understanding of data governance, security, scalability, and performance optimization.
- Excellent communication, stakeholder management, and leadership skills.
Preferred Qualifications
- Bachelor's or master's degree in computer science, Engineering, Information Technology, Data Science, or a related discipline.
- AWS Certified Solutions Architect or equivalent AWS certification.
- Experience delivering customer analytics, propensity, churn, recommendation, cross-sell, upsell, or next-best-action solutions.
- Exposure to BFSI, Insurance, or other regulated industries.
- Knowledge of Explainable AI, Model Risk Management, and Responsible AI frameworks.
- Experience working in Agile/Scrum delivery environments.
Why Join Exponentia.ai?
- Innovate with Purpose : Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms.
- Shape the Practice : Build a marquee capability from the ground up with full ownership.
- Work with the Best : Collaborate with top-tier talent and learn from industry leaders in AI.
- Global Exposure : Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore.
- Continuous Growth : Access to certifications, tech events, and partner-led innovation labs.
- Inclusive Culture : A supportive and diverse workplace that values learning, initiative, and ownership.
(ref:hirist.tech)
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