AI /ML Integration Architect

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.

Role : AI /ML Integration Architect

Location : Hyderabad/Bangalore/Chennai/Pune/Noida/Guragaon

Experience : 10+

Mode of Work : Hybrid

AI Integration Architect – Application

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.
• 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.

Experience

• 8–12+ years in integration architecture roles.
• 3–5 years in AI/ML solution design and implementation.
• Proven track record in aviation IT modernization and AI-driven initiatives.