Description

Project Overview / Contractor Role

Digital Coworkers program by designing, building, and supporting secure integrations between digital coworkers, enterprise applications, APIs, workflow systems, knowledge repositories, and approved data sources.

Experience Level

Senior individual contributor with enterprise integration engineering, software engineering, platform engineering, cloud services, automation, and production support experience.

Primary Focus

API integration, tool connectivity, data and knowledge access patterns, RAG enablement, agent workflow integration, operational readiness, production troubleshooting, documentation, and reusable integration patterns.

Engagement Partners

Product Leads, Engineering Leads, AI Engineers, Platform Operations, Enterprise Architecture, Application Owners, Information Security, Risk, and business stakeholders.

Expected Outputs

Integration designs, services, APIs, connectors, technical documentation, runbooks, release artifacts, test evidence, operational readiness materials, reusable patterns, issue triage notes, and implementation plans, integration code to support agentic workflows

Qualifications (Must Haves)

· 5+ years of experience in software engineering, integration engineering, platform engineering, cloud engineering, or similar enterprise technology roles.

· Experience designing and implementing enterprise-scale integrations using APIs, services, event-driven patterns, or microservices.

· Hands-on experience with cloud-native development and deployment patterns, preferably Microsoft Azure.

· Experience supporting production technology platforms, including incident troubleshooting, root cause analysis, monitoring, and operational documentation.

· Strong understanding of secure connectivity, identity and access controls, data protection, logging, auditability, and enterprise control environments.

· Ability to translate business workflow needs into practical technical integration designs and delivery artifacts.

· Experience working in Agile or hybrid delivery environments using tools such as Azure DevOps, Jira, ServiceNow, Confluence, SharePoint, or similar platforms.

· Strong communication and documentation skills with the ability to work across product, engineering, architecture, security, risk, and business stakeholder groups.

Preferred Qualifications

· Experience in financial services, regulated technology environments, enterprise risk and control frameworks, or AI governance review processes.

· Working knowledge of Generative AI, LLM concepts, Retrieval Augmented Generation (RAG), agent workflows, prompt engineering, responsible AI, AI observability, and model monitoring.

· Experience with Azure OpenAI, Azure API Management, Azure Functions, Azure Kubernetes Service, Microsoft Graph, Copilot Studio, LangChain, LangGraph, MCP.

· Experience integrating structured and unstructured enterprise data sources such as SharePoint, ServiceNow, Snowflake, Databricks, Fabric, document repositories, or operational platforms.

· Experience creating reusable connector patterns, platform enablement documentation, test plans, release notes, runbooks, and support model inputs.

Required Technical Skills

Skill Area

Expected Capability

AI / Platform

Generative AI concepts, LLM concepts, digital coworkers, AI agents, RAG patterns, agent workflows, model access, guardrails, responsible AI controls, platform onboarding, observability, and telemetry.

Integration Engineering

REST APIs, service integrations, event-driven architecture, microservices, API gateways, authentication patterns, error handling, retry logic, integration testing, and reusable connector design.

Cloud / DevOps

Microsoft Azure, Azure Functions, Azure API Management, Azure Kubernetes Service, Azure DevOps, CI/CD pipelines, infrastructure-as-code concepts, monitoring, logging, and release management.

Data / Knowledge

SQL, structured and unstructured data integration, SharePoint, Microsoft Graph, Snowflake, Databricks, Fabric, knowledge repositories, data access controls, and retrieval optimization.

Tools / Reporting

Azure DevOps, Jira, ServiceNow, Confluence, SharePoint, Power BI, Excel, technical documentation repositories, runbooks, dashboards, and structured status reporting. Prompt coding.

Enterprise Delivery

Cross-functional coordination, dependency management, security review support, risk documentation, operational readiness, vendor handoff materials, production support, and governance artifacts.

Tasks & Responsibilities

· Design, develop, test, and support integrations between Digital Coworkers, the GAI Platform, enterprise applications, APIs, data sources, and workflow systems.

· Build reusable services, connectors, and integration patterns that can be applied across multiple digital coworker use cases.

· Configure approved tool access, workflow actions, permissions, and orchestration paths needed for digital coworkers to execute defined business processes.

· Partner with Product, Engineering, Security, Risk, Architecture, and Application Owner teams to confirm feasibility, access models, controls, dependencies, and implementation sequencing.

· Support RAG and enterprise knowledge access patterns by integrating approved structured and unstructured data sources into AI workflows.

· Create and maintain technical documentation, interface specifications, test evidence, deployment notes, support runbooks, decision records, and operational readiness materials.

· Troubleshoot integration issues, analyze production defects, support incident response, and recommend durable remediation actions.

· Contribute to backlog refinement, sprint planning, release readiness, implementation planning, dependency tracking, and status updates for assigned integration workstreams.

· Identify opportunities to improve repeatability, security, monitoring, documentation quality, and time-to-delivery for future digital coworker integrations.

Success Measures

· Secure integrations delivered with clear documentation, test evidence, and operational support materials.

· Reusable connector and integration patterns that reduce repeated engineering effort across digital coworker implementations.

· Improved speed and consistency of Digital Coworker onboarding into approved enterprise systems and data sources.

· Reduced integration defects, clearer incident triage paths, and stronger production support readiness.

Technical Skills :
Lang tool set
Python
Karfa
Snowflake
Databricks

Salary : $110 - $135