AI Application Engineer

MAPSYS Inc.; Indianapolis (IN); On-site; USD 95,000 - 150,000; Full time

Job summary

MAPSYS Inc. is seeking an AI Application Engineer with a focus on AI-driven engineering to shape scalable applications in an enterprise setting. You will bridge development, architecture, and AI to enable secure, governance-aligned AI delivery.

You will develop AI-enabled applications, assess architectures, implement guardrails, and collaborate with security, legal, and procurement teams to manage risk while delivering measurable AI performance and quality.

Qualifications

• BA/BS in Information Security, Computer Science, MIS, or related field (or equivalent experience).
• 3–6+ years of experience in Application Development, AI or other related fields.
• Experience reviewing application architectures, APIs, or cloud-based solutions.
• Experience working with AI/LLMs and agent-based systems.
• Experience with AI based developer environments and AI focused delivery pipelines.
• Strong understanding of data protection, access control, and secure design principles.
• Experience working cross-functionally with engineering and business teams.
• Strong communication skills with ability to translate risks into actionable guidance.

Responsibilities

• Developing applications utilizing modern AI tooling, approaches, and standards.
• Assessing AI architectures, including LLM Gateways, MCP Gateways, APIs, and integrations for potential usage and value.
• Drive AI security governance adoption and define technical guardrails aligned with enterprise policies.
• Deploy and operationalize AI tooling implementations in partnership with Security and Application teams, specifically targeting developer and pipeline environments.
• Enable safe AI experimentation by guiding teams on secure design patterns and approved tools.
• Perform predictability, performance, and scalability assessments for AI use cases.
• Collaborate with Legal, Privacy, Procurement, and Architecture on AI risk and compliance.
• Support AI architecture decision-making and contribute to enterprise standards.
• Monitor evolving AI threats for architecture changes in applications.
• Document risk decisions and governance outcomes for auditability.
• Support reporting on AI adoption, performance, and quality metrics.

Skills

AI/LLMs

Security principles

Cross-functional teamwork

Communication

Dev environments

APIs & cloud

Education

BA/BS in Information Security, CS, MIS, or related field

Tools

APIs

Cloud-based solutions

AI platforms

Job description

AI Application Engineer– AI Focused Engineering will play a critical role in modern, scalable applications utilizing AI principles in an Enterprise environment. This role sits at the intersection of Development, Architecture, and AI, serving as both an empowered contributor and a strategic enabler of AI experimentation.

What Will You Be Doing?

• Developing applications utilizing modern AI tooling, approaches, and standards.
• Assessing AI architectures, including LLM Gateways, MCP Gateways, APIs, and integrations for potential usage and value.
• Drive AI security governance adoption and define technical guardrails aligned with enterprise policies.
• Deploy and operationalize AI tooling implementations in partnership with Security and Application teams, specifically targeting developer and pipeline environments.
• Enable safe AI experimentation by guiding teams on secure design patterns and approved tools.
• Perform predictability, performance, and scalability assessments for AI use cases.
• Collaborate with Legal, Privacy, Procurement, and Architecture on AI risk and compliance.
• Support AI architecture decision-making and contribute to enterprise standards.
• Monitor evolving AI threats for architecture changes in applications.
• Document risk decisions and governance outcomes for auditability.
• Support reporting on AI adoption, performance, and quality metrics.

What Will You Need to Bring?

• BA/BS in Information Security, Computer Science, MIS, or related field (or equivalent experience).
• 3–6+ years of experience in Application Development, AI or other related fields.
• Experience reviewing application architectures, APIs, or cloud-based solutions.
• Experience working with AI/LLMs and agent-based systems.
• Experience with AI based developer environments and AI focused delivery pipelines.
• Strong understanding of data protection, access control, and secure design principles.
• Experience working cross-functionally with engineering and business teams.
• Strong communication skills with ability to translate risks into actionable guidance.

Preferred Qualifications

• Experience with AI/LLM platforms (e.g., Azure OpenAI, Gemini).
• Familiarity with API gateways or middleware architectures.
• Experience contributing to application frameworks, policies, or standards.
• Understanding of emerging AI technologies with history building with bleeding edge tools.