AI Engineer

Insight Global; Dublin (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Insight Global is seeking an experienced AI Software Engineer to design, build, test, and deploy intelligent digital assistants and AI agents. You will work with Microsoft Copilot Studio, Azure AI services, and low-code platforms to deliver scalable AI solutions for enterprise data sources.

You will contribute across the SDLC, implement secure AI governance, and collaborate with data engineers and business stakeholders to ensure high-impact outcomes.

Qualifications

• 7+ years in software engineering, AI/ML development, or related technical field.
• Hands-on experience designing, building, and deploying AI/ML or intelligent automation solutions.
• Experience with Microsoft Azure AI services including Azure AI Foundry, Azure OpenAI, and Azure AI Search.
• Proficiency with Microsoft Copilot Studio and Power Platform for low-code AI development.
• Solid understanding of generative AI concepts, including RAG and prompt engineering.
• Experience building and integrating APIs and REST services with enterprise platforms.

Responsibilities

• Develop and Deliver AI assistants and agent-based solutions using Azure and Copilot Studio.
• Implement agentive workflows and multi-agent orchestration via low-code and pro-code approaches.
• Develop and maintain RAG pipelines with data ingestion, vector indexing, and grounded responses.
• Participate in the full SDLC from requirements to post-production support.
• Write clean, well-documented code following enterprise standards and best practices.
• Support CI/CD pipelines and LLMOps for model and prompt lifecycle management.
• Integrate AI solutions with enterprise systems and APIs/connectors.
• Collaborate with solution architects, data engineers, and stakeholders to translate requirements into AI solutions.

Skills

AI/ML development

Azure AI services

Python

Low-code AI platforms

REST APIs

SDLC

CI/CD

Data privacy & security

Team collaboration

AI governance

Education

Bachelor's degree in CS or related field

Tools

MuleSoft

Azure API Management

Microsoft Graph

LangChain

Azure OpenAI

Vector databases

Job description

Job Description

• Develop and Deliver AI Assistants and Agent-Based Solutions Design, build, test, and deploy intelligent digital assistants and AI agents using Microsoft Copilot Studio, Azure AI Foundry, Azure AI Search, and other Azure services.
• Implement agentic workflows and multi-agent orchestration patterns using both low-code platforms (Copilot Studio, Power Platform) and pro-code approaches (Python, SDKs, APIs).
• Develop and maintain retrieval-augmented generation (RAG) pipelines, including data ingestion, vector indexing, prompt engineering, and grounded responses leveraging enterprise data sources.
• Participate in the Full Software Development Lifecycle (SDLC)
• Contribute to all phases of solution delivery, including requirements analysis, solution design, development, testing, deployment, and post-production support.
• Write clean, well-documented, and maintainable code in accordance with engineering best practices and enterprise standards.
• Support CI/CD pipelines and implement LLMOps practices for effective management of models, prompts, and agent lifecycles.
• Integrate AI Solutions with Enterprise Systems and Platform
• Develop and consume APIs, connectors, and integration workflows to connect AI solutions with enterprise data sources (e.g., SQL databases, file systems, SaaS platforms) and business applications.
• Work with enterprise integration platforms (e.g., MuleSoft, Azure API Management, Azure Integration Services) and Microsoft Graph connectors to enable seamless and secure data access.
• Leverage AI gateways, the Model Context Protocol (MCP), and emerging interoperability frameworks to enable secure, governed, and extensible communication between agents and enterprise systems.
• Contribute to Broader AI Initiatives
• Collaborate with third-party partners to design and deploy video analytics and computer vision solutions (e.g., in-store customer experience, safety monitoring, and compliance use cases).
• Support the development and operationalization of additional AI/ML use cases such as demand forecasting, personalization, and intelligent process automation.
• Support AI Governance, Security, and Responsible AI Practices
• Implement responsible AI controls, including guardrails, content filtering, and security measures, in alignment with enterprise architecture and AI Center of Excellence (CoE) guidelines.
• Ensure compliance with data privacy, security standards, and applicable regulatory requirements.
• Contributes to the development and documentation of reusable AI patterns, frameworks, and reference architectures.
• Collaborate and Communicate Across Team
• Partner with solution architects, data engineers, product managers, and business stakeholders to translate requirements into high-impact AI solutions.
• Provide technical input for estimation, planning, and delivery of project milestones.
• Participate in architecture reviews and contribute to the continuous improvement of AI engineering standards and practices.
• Drive Continuous Learning and AI Innovation
• Stay current with emerging AI tools, frameworks, models, and industry trends, particularly within the retail domain.
• Promote knowledge sharing through technical demos, workshops, and documentation to strengthen AI capabilities across the organization.

Skills and Requirements

• Minimum of 7 years of experience in software engineering, AI/ML development, or a related technical field.
• Hands-on experience designing, building, and deploying AI/ML or intelligent automation solutions in production or near-production environments.
• Demonstrated experience with Microsoft Azure AI services, including Azure AI Foundry, Azure OpenAI, and Azure AI Search.
• Hands-on experience with Microsoft Copilot Studio and/or the Power Platform (Power Automate, Power Apps) for low-code AI solution development.
• Solid understanding of generative AI concepts, including retrieval-augmented generation (RAG), prompt engineering, vector databases, and orchestration patterns.
• Experience developing and integrating APIs and REST services, along with familiarity with enterprise integration platforms such as MuleSoft, Azure API Management, and Microsoft Graph connectors.
• Strong proficiency in Python, with demonstrated experience leveraging Generative AI libraries and modules (ex - LangChain, Semantic Kernel, OpenAI/Azure OpenAI SDKs), and vector database integrations to build and integrate LLM-powered solutions.
• Working knowledge of AI gateways, the Model Context Protocol (MCP), and emerging standards for agent interoperability and tool orchestration.
• Strong understanding of software development lifecycle (SDLC) methodologies, including Agile/Scrum practices.
• Experience with CI/CD pipelines, version control systems (e.g., Git), and modern DevOps practices.
• Understanding of AI security, data privacy, responsible AI principles, and regulatory compliance requirements.
• Understanding of AI FinOps concepts to be able to develop cost efficient AI solutions.
• Strong analytical thinking and problem-solving abilities, with the capacity to navigate ambiguity and complex challenges.
• Excellent communication and collaboration skills, with the ability to effectively engage both technical and non-technical stakeholders.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].