Enterprise AI Engineer

About the Role:

We are looking for an
Enterprise AI Engineer
to design, build, and deploy AI-powered internal automation solutions and employee copilots across functions such as
IT, HR, Finance, Procurement, Operations, and Customer Support
. This role will focus on applying
LLMs, workflow automation, enterprise search, and agentic AI
to improve productivity, simplify processes, and enable intelligent self-service across the organization.

The ideal candidate has hands-on experience building
GenAI applications, internal copilots, RAG pipelines, API integrations, and workflow automations
in enterprise environments, with strong attention to
security, governance, and scale
.

Key Responsibilities

- Design and develop
AI copilots, virtual assistants, and internal automation workflows
for enterprise use cases.
- Build solutions using
LLMs, prompt engineering, RAG, agent orchestration, and enterprise search
.
- Integrate AI solutions with enterprise platforms such as
ServiceNow, Workday, Microsoft 365, SharePoint, Slack, Teams, HRIS, CRM, ERP, and ticketing systems
.
- Develop and maintain
backend services, APIs, orchestration layers, and automation pipelines
using Python and related frameworks.
- Partner with business stakeholders across
IT, HR, Finance, Procurement, and Operations
to identify high-value use cases and convert them into production solutions.
- Implement
document understanding, knowledge retrieval, and task automation
across structured and unstructured enterprise data.
- Establish best practices for
prompt management, model evaluation, guardrails, observability, and LLMOps
.
- Ensure enterprise-grade standards for
security, privacy, access control, compliance, and governance
.
- Monitor solution performance, user adoption, and business impact; iterate based on feedback and usage patterns.
- Support production deployments, troubleshooting, and continuous enhancement of AI systems.

Required Qualifications

- Bachelor’s or Master’s degree in
Computer Science, Engineering, Data Science, Information Systems
, or related field.
- 5+ years
of software engineering, automation, or AI/ML engineering experience.
- 2+ years
of hands-on experience building
GenAI/LLM applications
in enterprise settings.
- Strong programming skills in
Python
and experience with
REST APIs, microservices, and backend integration
.
- Experience with
LLM frameworks
such as
LangChain, LangGraph, Semantic Kernel, LlamaIndex
, or similar.
- Experience building
RAG pipelines
using vector databases and enterprise knowledge sources.
- Hands-on experience with one or more cloud AI platforms such as
Azure OpenAI, AWS Bedrock, Google Vertex AI
, or equivalent.
- Experience integrating with enterprise tools such as
ServiceNow, Workday, Microsoft 365, SharePoint, Teams, Slack, Jira, Salesforce
, or similar systems.
- Solid understanding of
authentication, authorization, role-based access, data privacy, and enterprise security controls
.
- Strong communication skills with the ability to work cross-functionally with technical and business teams.

Preferred Qualifications

- Experience with
agentic workflows / multi-step task automation
.
- Familiarity with
MCP, tool calling, function calling
, and agent orchestration patterns.
- Experience with
Moveworks, Glean, Microsoft Copilot Studio / Power Virtual Agents
, or similar enterprise AI platforms.
- Experience with
workflow automation tools
such as
Power Automate, UiPath, ServiceNow Flow Designer
, or equivalent.
- Exposure to
LLMOps
, model monitoring, prompt/version management, evaluation frameworks, and AI governance.
- Experience in large enterprise environments with
shared services, ITSM, HR, procurement, or employee support use cases
.