AI Engineer

IMA Financial Group, Inc.; Dallas (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

IMA Financial Group, Inc. seeks an AI Engineer to design, build, deploy, and support practical AI solutions that solve business problems and deliver measurable value.

You will partner with business leaders to understand workflows, identify high‑value opportunities, translate needs into secure, scalable AI systems, and apply production software practices across the lifecycle. The role blends business-facing consulting with hands-on engineering, including low-code agents, Azure applications, and

Qualifications

• Experience translating business needs into AI-enabled solutions.
• Strong communication with non-technical stakeholders.
• Familiarity with SDLC and production-grade software practices.

Responsibilities

• Partner with the AI Enablement Lead and business stakeholders to understand problems, workflows, users, data dependencies, risks, and success criteria.
• Assess feasibility and translate needs into requirements, architecture, user stories, and delivery plans.
• Communicate options, constraints, tradeoffs, and recommendations to business and technical audiences.

Skills

AI/ML concepts

Communication with stakeholders

SDLC practices

Education

Bachelor's degree in CS/Engineering

Tools

Azure

Copilot Studio

Job description

ESSENTIAL JOB RESPONSIBILITIES

include but are not limited to:

• Supports and demonstrates IMA’s core values
• Values and understands the importance of diversity, equity, and inclusion among all IMA associates

The AI Engineer designs, builds, deploys, and supports practical AI solutions that solve business problems and deliver measurable value. This role partners with business leaders and subject matter experts to understand workflows, identify high-value opportunities, and translate ambiguous needs into secure, scalable, and maintainable technical solutions.

The position combines business-facing consulting with hands-on engineering, with a significant focus on designing, developing, integrating, testing, deploying, and supporting AI solutions. Solutions may range from low-code agents and automations to custom-developed Azure applications and integrations. The AI Engineer selects and implements the approach that best fits the business and technical requirements. The AI Engineer uses Microsoft Copilot Studio, Azure, APIs, connectors, code, and other approved enterprise technologies, and treats AI solutions as production software by applying established software engineering and SDLC practices throughout their lifecycle.

Success requires both strong communication skills and sound engineering judgment. The ideal candidate can work comfortably with non-technical stakeholders while applying software engineering principles, AI governance, security, source control, testing, documentation, and operational support practices.

ESSENTIAL JOB RESPONSIBILITIES

include but are not limited to:

• Supports and demonstrates IMA’s core values
• Values and understands the importance of diversity, equity, and inclusion among all IMA associates

Business Partnership & Solution Design

• Partner with the AI Enablement Lead and business stakeholders to understand problems, workflows, users, data dependencies, risks, and success criteria.
• Assess technical feasibility and translate business needs into requirements, solution architecture, user stories, delivery plans, and measurable outcomes.
• Communicate options, constraints, tradeoffs, and recommendations to business and technical audiences. The AI Enablement Lead primarily drives business engagement, priorit