AI Integration Architect-AI ML Solution Architecting
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Job Location:
Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
AI Integration Architect-AI ML Solution Architecting
Location- Hyderabad preferred Bangalore 2nd option
Exp: 8Yrs
Experience
- 8 years in integration architecture roles.
- 3 years in AI/ML solution design and implementation.
- Proven track record in aviation IT modernization and AI-driven initiatives.
Job Description
The AI Integration Architect Application role focuses on designing and implementing AI-driven integration solutions for aviation platforms ensuring seamless connectivity between applications data sources and AI services. This position is critical for modernizing aviation systems and enabling intelligent automated workflows.
Key Responsibilities
- AI-Driven Integration Architecture
- Design and govern integration patterns for aviation applications using AI-powered frameworks.
- Implement AI-based decision support systems predictive analytics and automation for operational efficiency.
- Develop strategies for integrating AI services with existing aviation platforms (TOPS CROAMIS Crew Management).
- Application & Cloud Integration
- Architect cloud-native integration solutions leveraging Azure/AWS services (API Management Service Bus Event Grid Logic Apps).
- Enable real-time data exchange across mission-critical aviation systems (CRM OMS POS reservations).
- Drive modernization of legacy systems toward microservices event-driven architectures and API-first models.
- Governance & Compliance
- Ensure integration solutions comply with FAA/EASA safety standards and enterprise security policies.
- Participate in Architecture Review Boards (ARB) for alignment and governance.
- DevOps & Automation
- Implement CI/CD pipelines for integration workflows.
- Establish observability and monitoring for AI-enabled integrations to ensure high availability and resilience.
- Collaboration
- Work closely with data scientists AI engineers and business stakeholders to align technical solutions with aviation business needs.
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- Mentor teams on AI integration best practices.
Skills Required
Technical Skills
- AI & ML Expertise
- Experience with machine learning generative AI and AI integration frameworks.
- Familiarity with AI orchestration tools and prompt engineering for aviation use cases.
- Integration Technologies
- Proficiency in API design REST/GraphQL and microservices architecture.
- Hands-on experience with Azure Integration Services Spring Boot and Java/J2EE for application integration.
- Cloud & DevOps
- Strong knowledge of Azure/AWS cloud services containerization (Docker/Kubernetes) and Infrastructure as Code (Terraform/ARM).
- CI/CD tools: Jenkins GitHub Actions.
- Data & Observability
- Understanding of data governance data mesh architecture and observability tools (Grafana Prometheus).
Domain Knowledge
- Aviation systems (Crew Scheduling Flight Ops Passenger Services).
- Compliance with aviation safety and regulatory standards.
Soft Skills
- Strong analytical and problem-solving abilities.
- Excellent communication and stakeholder management.
- Ability to lead cross-functional teams and drive change.
Preferred Certifications
- Azure Solution Architect or equivalent cloud certifications.
- AI/ML certifications (Google Cloud AI AWS AI).
- TOGAF or SAFe Agilist for architecture and agile delivery.
Key Skills
- Business Process
- VMware
- Cloud
- HTML5
- Windows
- Project managements
- AWS
- Infrastructure
- Web Services
- JQuery
- Java
- Computer Engineering
- Solutions design
- Technical Solutions
- Analytics
