Senior IT Developer, Enterprise Integration & AI

Majesco

United States

Remote

USD 120,000 - 190,000

Full time

2 days ago
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Job summary

Majesco leads the AI-native transformation for insurance and pension markets with a cloud-based SaaS platform. This Senior IT Developer role centers on architecting and building production-grade integrations that connect AI agents to Salesforce, NetSuite, ServiceNow, UKG, Okta, and Jira, securely and at scale.

You will design MCP servers, automate workflows with agentic AI, guide iPaaS strategy with Celigo, and establish standards for security and observability while delivering reliable

Qualifications

  • 7+ years in enterprise integration engineering, API architecture, platform engineering, or solution architecture.
  • Hands-on experience designing, developing, and supporting production integrations across enterprise applications.
  • Experience building MCP servers or comparable agent-to-tool integration capabilities.
  • Practical experience developing AI agents, LLM-enabled applications, or agentic workflows.
  • Strong API engineering experience, including REST, SOAP, webhooks, JSON, OAuth 2.0, OIDC, and enterprise authentication.
  • Experience with Celigo or another iPaaS.
  • Strong programming skills in Python, JavaScript/TypeScript, Java, or C#.
  • Experience with enterprise platforms such as Salesforce, NetSuite, ServiceNow, UKG, Okta, Active Directory, or Jira.

Responsibilities

  • Build enterprise AI infrastructure: Design, develop, deploy, and manage production-grade MCP servers that securely connect AI agents to enterprise systems, data, and workflows.
  • Develop AI agents and automation: Build agentic AI workflows using LLMs, tool calling, orchestration, human approvals, and enterprise APIs to automate multi-step business processes.
  • Own enterprise integration architecture: Lead the design and evolution of our Celigo iPaaS environment, creating scalable integrations, reusable connectors, and event-driven workflows.
  • Engineer secure API connectivity: Build and manage REST and SOAP APIs, webhooks, authentication, and integrations across critical SaaS and enterprise applications.
  • Establish engineering standards: Define architecture, security, monitoring, documentation, and lifecycle practices for MCP servers, APIs, integrations, and AI agents.
  • Deliver reliable production solutions: Implement observability, logging, error handling, access controls, and operational support to keep enterprise integrations and AI automation secure and dependable.

Skills

Enterprise integration
API architecture
Platform engineering
Solution architecture
MCP servers
Agentic workflows
REST APIs
SOAP APIs
OAuth 2.0
OIDC
Celigo iPaaS
Python
TypeScript
Java
C#
Salesforce
NetSuite
ServiceNow
Okta
Active Directory
Jira

Tools

Celigo
Glean
API gateways

Job description

Majesco isn't just riding the AI wave - we’re leading it for the P&C, L&AH, and Pension & Retirement markets. Born in the cloud and built with an AI-native vision, we’ve reimagined the insurance and pension core as an intelligent platform that enables insurers and pension & retirement providers to move faster, see farther and operate smarter. As leaders in intelligent SaaS solutions, we’ve embedded AI and Agentic AI throughout our robust product portfolio of core, underwriting, loss control, distribution, digital solutions, and pension & retirement administration so our customers can reimagine their business with real-time business insights, optimized operations, and enhanced business outcomes. Everything we build is designed to strip away complexity and let our clients focus on what matters: delivering exceptional products, experiences, and long-term financial security for policyholders and plan participants.

In a world where change is constant, our native-cloud SaaS platform empowers insurers, MGAs, and pension & retirement providers with the agility to adapt to evolving risk, regulation, and market expectations, modernize operating models, and accelerate innovation at scale. With 1400+ implementations and more than 375 customers worldwide, Majesco is the AI-native solution trusted to power the future of insurance and pension & retirement. Break free from the past and build the future of insurance

At Majesco, this means joining a team leading the insurance and retirement industry through the AI revolution.You’ll collaborate with experienced leaders and global teams building and scaling AI-native solutions that solve complex, real-world challenges - where innovation moves from concept to production, decisions carry real weight, and execution matters. If you’re looking for a place where your expertise is trusted, your judgment is valued, and your work helps define what’s next for intelligent insurance and retirement technology, Majesco is where that work happens.

Senior IT Developer, Enterprise Integration & AI
Fully Remote: United States

Build the enterprise foundation that makes AI agents work in the real world.

AI agents are only as powerful as the enterprise systems they can securely access and the actions they can reliably execute.

About the Role

You'll own the architecture and development of Majesco's enterprise integration and AI automation capabilities.

Your mission is to connect AI agents, APIs, and enterprise applications through secure, reusable technology that simplifies operations, reduces manual work, and enables new business capabilities.

You'll work across platforms including Salesforce, NetSuite, ServiceNow, UKG, Okta, Active Directory, and Jira, using Model Context Protocol (MCP), Celigo iPaaS, APIs, and AI agent frameworks.

This role combines deep technical architecture with hands-on engineering. You'll make architectural decisions, write code, solve complex integration challenges, and take solutions from concept through production.

What You'll Do
  • Build enterprise AI infrastructure: Design, develop, deploy, and manage production-grade Model Context Protocol (MCP) servers that securely connect AI agents to enterprise systems, data, and workflows.
  • Develop AI agents and automation: Build agentic AI workflows using LLMs, tool calling, orchestration, human approvals, and enterprise APIs to automate multi-step business processes.
  • Own enterprise integration architecture: Lead the design and evolution of our Celigo iPaaS environment, creating scalable integrations, reusable connectors, and event-driven workflows.
  • Engineer secure API connectivity: Build and manage REST and SOAP APIs, webhooks, authentication, and integrations across critical SaaS and enterprise applications.
  • Establish engineering standards: Define architecture, security, monitoring, documentation, and lifecycle practices for MCP servers, APIs, integrations, and AI agents.
  • Deliver reliable production solutions: Implement observability, logging, error handling, access controls, and operational support to keep enterprise integrations and AI automation secure and dependable.
What You Bring

We're looking for an experienced engineer or architect who has built complex enterprise integrations and is ready to help define how AI connects to business systems.

Core Experience
  • 7+ years in enterprise integration engineering, API architecture, platform engineering, or solution architecture.
  • Hands-on experience designing, developing, and supporting production integrations across enterprise applications.
  • Experience building MCP servers or comparable agent-to-tool integration capabilities.
  • Practical experience developing AI agents, LLM-enabled applications, or agentic workflows.
  • Strong API engineering experience, including REST, SOAP, webhooks, JSON, OAuth 2.0, OIDC, and enterprise authentication.
  • Experience with Celigo or another enterprise integration platform (iPaaS).
  • Strong programming skills in Python, JavaScript/TypeScript, Java, or C#.
  • Experience with enterprise platforms such as Salesforce, NetSuite, ServiceNow, UKG, Okta, Active Directory, or Jira.
Bonus Points
  • Deep Celigo experience, including connectors, flows, scripting, monitoring, and deployment.
  • Familiarity with Glean or other enterprise AI platforms.
  • Experience with AI agent frameworks, API gateways, and developer platforms.
  • Strong understanding of identity, access management, least-privilege security, and production observability
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