Senior Staff Engineer (AI Solution Design)

Requirements

• Experience : 7.5 years
• Relevasnt experience in a Solutions Architect Principal Engineer or equivalent technical leadership role.
• Proven experience designing and delivering enterprise-scale AI/ML solutions from concept through production deployment.
• Strong expertise in AI application solution design enterprise architecture and scalable distributed systems.
• Hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) workflows vector databases prompt engineering and LLM evaluation frameworks.
• Strong understanding of Design Systems and the ability to architect scalable reusable and user-centric AI platforms.
• Experience in data science solutioning including model selection classification anomaly detection clustering deployment monitoring and optimization.
• Strong knowledge of enterprise data architecture data pipelines data lakes batch and real-time processing and data quality frameworks.
• Experience with Databricks Delta Lake or similar modern data platforms is preferred.
• Proficiency in Python with working knowledge of Java Go or .
• Experience designing REST APIs event-driven architectures and integrating enterprise applications such as ERP systems.
• Good understanding of MLOps practices including MLflow model registries model serving inference optimization and AI observability.
• Experience with distributed tracing logging monitoring and alerting for production AI systems.
• Strong analytical problem-solving documentation and stakeholder management skills.
• Excellent communication skills with the ability to translate complex business requirements into scalable technical architectures.
• Experience in fintech compliance tax technology SAP data models GSTN integrations or explainable AI solutions is an advantage.

Responsibilities

• Lead discovery workshops with business compliance assurance and IT stakeholders to understand business processes data flows and existing technology landscapes.
• Analyze enterprise data ecosystems identify integration opportunities technical constraints and delivery risks and define scalable solution approaches.
• Design end-to-end AI application architectures encompassing data ingestion machine learning LLMs RAG workflows APIs and application layers.
• Define architecture blueprints component designs API contracts technology stack selections and end-to-end data flow documentation.
• Evaluate business use cases and determine the most appropriate implementation approach using AI machine learning LLMs or rule-based solutions.
• Establish architecture standards design principles and technical governance for enterprise AI platforms.
• Provide technical leadership by conducting architecture reviews guiding engineering teams and ensuring adherence to architectural standards.
• Resolve technical challenges manage architectural risks and balance technical debt with project delivery objectives.
• Design scalable data ingestion and integration architectures connecting ERP systems banking platforms government portals supplier systems and enterprise applications.
• Define real-time and batch data processing strategies to support operational and compliance-driven business requirements.
• Architect integration frameworks that seamlessly incorporate AI outputs into existing enterprise systems while implementing fallback mechanisms for low-confidence predictions.
• Collaborate closely with engineering data science product and business teams to ensure successful solution delivery.
• Design AI solutions with scalability security explainability observability and regulatory compliance as core architectural principles.
• Drive adoption of engineering best practices reusable design patterns and modern AI development methodologies across the organization.
• Mentor engineering teams and provide technical guidance throughout the solution lifecycle from architecture through pilot deployment and production rollout.

Qualifications :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

No

Employment Type :

Full-time