Senior Applied AI Engineer: Build Real‑World AI Solutions

Insight Global; Marlborough (MA); On-site; USD 150,000 - 190,000; Full time

Job summary

Insight Global is seeking a Senior Applied AI Engineer to deliver practical AI solutions end‑to‑end, from discovery with business teams to production rollout and adoption. You will split time between business-facing work and engineering, building AI copilots, RAG applications, and workflow automations on Azure OpenAI and related platforms.

You will lead requirements discussions, define success metrics, and ensure solutions scale while meeting security and governance standards.

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• Five to eight years in software, solutions, data, or ML engineering with AI/automation experience.
• Proficient in Python, JS/TS, or C# and open to low-code platforms when appropriate.
• Working knowledge of modern AI including LLMs, RAG, agents, and prompt engineering.
• Awareness of Claude, OpenAI, Gemini models and leading open-source models.

Responsibilities

• Work with business teams to identify problems where AI can help and define success criteria.
• Run discovery sessions to map current processes and pinpoint actual problems.
• Design and build AI solutions using copilots, agents, RAG apps, and workflow automation.
• Deploy and monitor solutions in production, ensuring adoption and ongoing improvement.
• Collaborate with security, architecture, governance, and compliance teams for production readiness.

Skills

Python

JS/TS

C#

AI/ML

LLMs

RAG

Prompting

Azure

Stakeholder comms

Production deployment

Education

Bachelor's degree or equivalent

Tools

Azure

LangGraph

Semantic Kernel

MCP

Power Platform

Containers

CI/CD

Job description

Insight Global is seeking a Senior Applied AI Engineer to deliver practical AI solutions end‑to‑end, from discovery with business teams to production rollout and adoption. You will split time between business-facing work and engineering, building AI copilots, RAG applications, and workflow automations on Azure OpenAI and related platforms.

You will lead requirements discussions, define success metrics, and ensure solutions scale while meeting security and governance standards.