AI Operations Integration Engineer - API, IAM, iPaaS, AWS Bedrock

Location: Bengaluru, Karnataka, India

Ellucian powers innovation for higher education, partnering with approximately 3,000 customers across 50 countries, serving more than 21 million students. Ellucian's AI-powered platform, trained on the richest dataset available in higher education, drives efficiency, personalized experiences, and strengthened engagement for all students, faculty and staff. Fueled by decades of experience with a singular focus on the unique needs of learning institutions, the Ellucian platform features best-in-class SaaS capabilities and delivers insights needed now and into the future. These solutions and services span the entire student lifecycle, including data-rich tools for student recruitment, enrollment, and retention to workforce analytics, fundraising, and alumni engagement. Ellucian's innovative solutions, vast ecosystem of partners and user community of more than 45,000 provides best practices leading to greater institutional success and achieving better student outcomes.

Seeking a highly motivated, team-oriented Senior AI Operations Integration Engineer to build and operationalize secure, reusable integrations and automation that power enterprise AI use cases and adjacent IT workflows. This role focuses on designing and scaling API-based integrations across systems such as Okta/AD, ITSM platforms, M365 admin portals, AWS services, and key AI tools—leveraging cloud-native services, workflow automation platforms, and lightweight services.

The ideal candidate brings strong experience building production-grade integrations with robust authentication, logging, monitoring, and secrets management. They are comfortable creating governed AI consumption layers that safely expose enterprise data and tool actions, and they prioritize scalable integration patterns over one-off solutions. This individual collaborates closely with Data Engineering, IT, and business stakeholders to deliver secure, operationalized solutions, while contributing to architectural decisions and raising the technical bar across the engineering organization.

Where you will make an impact

• Build and maintain API-based integrations and lightweight services with strong auth, error handling, retries, logging, and monitoring.
• Create the AI consumption layer: governed tool actions and a lightweight operational data layer (sourced from systems of record like Okta/AD, M365/admin portals, Box, ITSM platforms, etc.) that AI experiences can safely use (channel-agnostic; UX built by partners).
• Use approved automation/orchestration tools; minimize bespoke code and prefer reusable patterns.
• Deliver reusable connector templates/patterns (auth, RBAC, audit logs, telemetry) that can be applied across multiple use cases as needs shift.
• Partner with Data Engineering and other platform teams for long-term hardening; deliver nimble last-mile pipelines and integrations when upstream timelines won’t meet business needs.
• Operationalize what’s built: runbooks, support handoff, access reviews, secrets management, and basic SLOs.
• Communicate clearly with IT and business stakeholders: translate needs into simple integration plans, provide concise status updates, and partner cross-functionally to deliver outcomes without requiring deep technical context from requestors

What you will bring

• 3-6 years building and operating production integrations/services.
• Strong software engineering skills building and operating API integrations and lightweight services (language-agnostic; Python a plus), including authentication, logging/monitoring, and secure secrets handling.
• Experience with enterprise identity concepts and integrations (Okta; AD familiarity).
• Hands-on experience with SQL-based access patterns (e.g., views, role-based access controls, and consumption-oriented datasets) in any modern data platform.
• Practical AWS experience and security posture (IAM, Secrets Manager, logging/monitoring).
• Practical automation/orchestration experience (Workato or similar iPaaS).

Good to have

• Familiarity with MCP-style tool integration patterns (e.g., implementing/operating MCP servers or similar “tool connectors” that expose governed actions and data access to AI assistants).
• Familiarity with ITSM platform integrations (e.g., ServiceNow) and/or M365 admin/usage reporting.

Key Skills

• API integration (REST APIs) + OAuth2 / authentication
• Okta (and Active Directory / groups)
• AWS (specifically IAM, Secrets Manager, CloudWatch/monitoring)
• Workato (or “iPaaS”)
• SQL
• RBAC
• MCP servers / tool connectors (or “LLM tool integration,” “function calling,” “AI connectors” as adjacent terms)

• 12 days vacation, 10 days causal leaves, 8 days sick leaves plus 11 public holidays
• Competitive gratuity policy
• Group insurance and Annual health checkup plan with a variety of family and wellness benefits.
• Thrive Flex Lifestyle Account (LSA) that allows you to contribute towards your health,
  financial or learning interests
• 5 charitable days to support the community that supports us
• Wellness
  o Headspace (mental health)
  o Wellbeats (virtual fitness classes)
• RethinkCare – caregiver support
• Diversity and inclusion programs that promote employee resource groups such as: Buzzinga and Lean In Team to name a few. 
• Parental leave
• Employee referral bonuses to encourage the addition of great new people to the team
• We Foster a learning culture with:
  • Education Assistance Program
  • Professional development opportunities
  • LinkedIn Learning

#LI-HS1

#LI-onsite

Responsibilities

Seeking a highly motivated, team-oriented Senior AI Operations Integration Engineer to build and operationalize secure, reusable integrations and automation that power enterprise AI use cases and adjacent IT workflows. This role focuses on designing and scaling API-based integrations across systems such as Okta/AD, ITSM platforms, M365 admin portals, AWS services, and key AI tools—leveraging cloud-native services, workflow automation platforms, and lightweight services.

The ideal candidate brings strong experience building production-grade integrations with robust authentication, logging, monitoring, and secrets management. They are comfortable creating governed AI consumption layers that safely expose enterprise data and tool actions, and they prioritize scalable integration patterns over one-off solutions. This individual collaborates closely with Data Engineering, IT, and business stakeholders to deliver secure, operationalized solutions, while contributing to architectural decisions and raising the technical bar across the engineering organization.

Where you will make an impact

• Build and maintain API-based integrations and lightweight services with strong auth, error handling, retries, logging, and monitoring.
• Create the AI consumption layer: governed tool actions and a lightweight operational data layer (sourced from systems of record like Okta/AD, M365/admin portals, Box, ITSM platforms, etc.) that AI experiences can safely use (channel-agnostic; UX built by partners).
• Use approved automation/orchestration tools; minimize bespoke code and prefer reusable patterns.
• Deliver reusable connector templates/patterns (auth, RBAC, audit logs, telemetry) that can be applied across multiple use cases as needs shift.
• Partner with Data Engineering and other platform teams for long-term hardening; deliver nimble last-mile pipelines and integrations when upstream timelines won’t meet business needs.
• Operationalize what’s built: runbooks, support handoff, access reviews, secrets management, and basic SLOs.
• Communicate clearly with IT and business stakeholders: translate needs into simple integration plans, provide concise status updates, and partner cross-functionally to deliver outcomes without requiring deep technical context from requestors

What you will bring

• 3-6 years building and operating production integrations/services.
• Strong software engineering skills building and operating API integrations and lightweight services (language-agnostic; Python a plus), including authentication, logging/monitoring, and secure secrets handling.
• Experience with enterprise identity concepts and integrations (Okta; AD familiarity).
• Hands-on experience with SQL-based access patterns (e.g., views, role-based access controls, and consumption-oriented datasets) in any modern data platform.
• Practical AWS experience and security posture (IAM, Secrets Manager, logging/monitoring).
• Practical automation/orchestration experience (Workato or similar iPaaS).

Good to have

• Familiarity with MCP-style tool integration patterns (e.g., implementing/operating MCP servers or similar “tool connectors” that expose governed actions and data access to AI assistants).
• Familiarity with ITSM platform integrations (e.g., ServiceNow) and/or M365 admin/usage reporting.

Key Skills

• API integration (REST APIs) + OAuth2 / authentication
• Okta (and Active Directory / groups)
• AWS (specifically IAM, Secrets Manager, CloudWatch/monitoring)
• Workato (or “iPaaS”)
• SQL
• RBAC
• MCP servers / tool connectors (or “LLM tool integration,” “function calling,” “AI connectors” as adjacent terms)

Qualifications

• 12 days vacation, 10 days causal leaves, 8 days sick leaves plus 11 public holidays
• Competitive gratuity policy
• Group insurance and Annual health checkup plan with a variety of family and wellness benefits.
• Thrive Flex Lifestyle Account (LSA) that allows you to contribute towards your health,
  financial or learning interests
• 5 charitable days to support the community that supports us
• Wellness
  o Headspace (mental health)
  o Wellbeats (virtual fitness classes)
• RethinkCare – caregiver support
• Diversity and inclusion programs that promote employee resource groups such as: Buzzinga and Lean In Team to name a few. 
• Parental leave
• Employee referral bonuses to encourage the addition of great new people to the team
• We Foster a learning culture with:
  • Education Assistance Program
  • Professional development opportunities
  • LinkedIn Learning

#LI-HS1

#LI-onsite