Overview

We are seeking a Senior AI Engineer with strong expertise in AI solution development, full-stack engineering, cloud-native architecture, and enterprise application development. The ideal candidate will be responsible for designing, building, and scaling intelligent enterprise-grade solutions while ensuring security, governance, scalability, and maintainability.

Key Responsibilities

• Architect, develop, and deploy AI-powered enterprise applications and intelligent automation solutions.
• Translate business requirements into scalable, secure, and production-ready AI systems.
• Build and integrate AI/ML capabilities into enterprise platforms and digital products.
• Design cloud-native applications leveraging AWS, Azure, or Google Cloud.
• Develop APIs, microservices, distributed systems, and modern integration frameworks.
• Implement DevOps best practices, CI/CD automation, and engineering lifecycle processes.
• Utilize AI-assisted development tools to improve productivity and accelerate delivery.
• Ensure adherence to security standards, governance frameworks, and data privacy requirements.
• Collaborate with cross-functional stakeholders, product teams, and business leaders to deliver innovative solutions.

Required Skills

• 5+ years of experience in Software Engineering, Solution Architecture, or Enterprise Application Development.
• Strong programming expertise in Python, Java, TypeScript, or Go.
• Hands-on experience integrating AI/ML solutions into enterprise applications.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Strong understanding of APIs, Microservices, Distributed Systems, and Containerization.
• Experience with Agile methodologies, DevOps practices, and CI/CD pipelines.
• Knowledge of secure software development and enterprise governance standards.
• Excellent problem-solving, communication, and stakeholder management skills.

Preferred Skills

• Experience with Machine Learning, Generative AI, Intelligent Automation, or LLM-based solutions.
• Knowledge of MLOps, Prompt Engineering, Model Monitoring, AI Validation, and LLM Integration.
• Experience in Banking, FinTech, Payments, or other regulated industries.
• Advanced degree in Computer Science, Artificial Intelligence, Engineering, or related fields.
• Certifications such as AWS/Azure/GCP Solutions Architect, TOGAF, Certified Kubernetes Administrator (CKA), or Lean Six Sigma.
• Experience leading engineering transformation, modernization, or automation initiatives.
• Contributions to open-source projects and passion for emerging technologies and innovation.

Other Details

• Location: Remote
• Experience: 5–8 Years
• Duration: 3–6 Months
• Employment Type: Contract
• Open Positions: 4
• Note: Only Bench Resources Required