AI Software Engineer

AI Platform & Framework Development

• Design, develop, and maintain reusable agentic AI frameworks, orchestration templates, and platform accelerators.

• Build shared services and libraries for agent communication, workflow orchestration, memory management, tool integration, and evaluation pipelines.

• Establish standardized engineering patterns and best practices for enterprise AI solutions.

• Develop scalable, secure, and maintainable software solutions throughout the software development lifecycle.

Enterprise Integration & MCP Enablement

• Develop and maintain MCP-compatible integrations and enterprise connectors.

• Build reusable APIs, services, and integration frameworks for enterprise platforms and business applications.

• Enable secure and scalable access to enterprise data sources, systems, and business tools.

• Design and implement event-driven and cloud-native integration architectures.

Governance, Security & Compliance

• Define and implement governance standards for enterprise AI systems.

• Build mechanisms for traceability, auditability, monitoring, lifecycle management, and operational oversight.

• Support Trust, Risk, Security, and Monitoring (TRiSM) requirements across AI solutions.

• Ensure adherence to security, privacy, compliance, and regulatory requirements throughout the development lifecycle.

• Establish observability, evaluation, and monitoring practices to ensure responsible AI deployment.

Software Engineering & Solution Design

• Analyze business requirements and translate them into scalable technical solutions and architectures.

• Design application interfaces, define system interactions, and establish non-functional requirements.

• Evaluate technical feasibility, define solution architectures, and recommend implementation approaches.

• Develop software following coding standards, testing practices, and quality assurance processes.

• Participate in code reviews, testing, deployment, and production support activities.

• Document solutions, technical designs, workflows, and implementation standards.

Engineering Enablement & Operational Excellence

• Create reusable templates, starter kits, deployment accelerators, and implementation guides.

• Improve developer productivity through automation, tooling, and standardized development practices.

• Support production readiness, monitoring, telemetry, guardrails, and fallback strategies.

• Collaborate with solution teams to improve system reliability, scalability, maintainability, and performance.

• Contribute to continuous improvement initiatives and adoption of modern engineering practices.

Innovation & Technical Leadership

• Stay current with emerging technologies, AI frameworks, and industry trends.

• Recommend innovative approaches, tools, and technologies that improve business outcomes.

• Support Agile, DevSecOps, and continuous delivery practices.

• Mentor team members and contribute to the organization's technical excellence and learning culture.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline, or equivalent professional experience.

• Experience developing enterprise software applications using modern software engineering practices.

• Experience working in Agile development environments.

• Proven experience delivering solutions through the full software development lifecycle, from requirements gathering through production deployment.

  • Strong understanding of software architecture, design patterns, and scalable system development.