AI Deployment Engineer — Enterprise Solutions (Hybrid)

IFS; Itasca (IL); Hybrid; USD 130,000 - 160,000; Full time

Benefits offered by this job

Salary range $130,000 to $160,000 USD;

Flexible paid time off

401K with Company contribution

Life insurance and disability benefits

Tuition assistance

Community involvement and volunteering

Job summary

IFS is hiring a Forward Deployed Engineer to bridge engineering, consulting and business change, building and running AI-powered applications for the IFS M&A Group. You will work with business and technical stakeholders to understand problems, prototype quickly, connect to existing systems, and deliver scalable productions.

You will independently execute projects within approved security and data standards, accelerate decisions when needed, and train users to adopt solutions.

Qualifications

• In-depth expertise in AI/software engineering with a solid understanding of data, cloud, security and business context.
• Experience shipping at least one system to production and measuring its operational or business impact.
• Experience building an LLM application used by real users, including tool use, retrieval and prompt or context design.
• Experience with API integrations between AI platforms and enterprise systems (e.g. Salesforce, HubSpot, NetSuite, Databricks) and the data governance that goes with them.
• Python backend (FastAPI or similar), working React/TypeScript, SQL, one cloud (Azure preferred), infrastructure as code and CI/CD.
• Ability to work independently on non-routine problems, recommend practical solutions, and escalate when a decision is outside agreed guidelines.
• Clear written and spoken communication with both technical and business stakeholders.
• Nice to Have: Forward-deployed or embedded engineering experience, RevOps familiarity, agent experience in production.

Responsibilities

• Deliver AI projects and workstreams from discovery through design, build, deployment, verification, training and support. Priorities and scope are agreed with your manager.
• Support discovery with business and technical stakeholders to understand workflows, systems and desired outcomes, and help identify suitable AI use cases.
• Analyze non-routine requirements, recommend practical solution designs, and implement them as tested code. Prototype quickly to validate a use case.
• Build integrations that connect AI platforms to existing applications, APIs and data sources, using service identities with the narrowest scopes and following approved security and data governance policies.
• Ship AI features that are scoped to the user, name sources and models on every answer, and are tested before release.
• Build agentic systems that automate processes and use enterprise tools within defined guardrails.
• Take solutions from prototype to production and run them: jobs, backups, monitoring, access and incident write-ups.
• Train users and support adoption. Measure results against the objectives agreed at the start of each project.
• Recommend models and platforms within the group's approved standards. Contribute lessons learned from acquired-company projects to team best practices and process improvements.
• Report progress, trade-offs and outcomes clearly to stakeholders and project leads.
• Provide guidance to junior colleagues where needed.

Job description

IFS is hiring a Forward Deployed Engineer to bridge engineering, consulting and business change, building and running AI-powered applications for the IFS M&A Group. You will work with business and technical stakeholders to understand problems, prototype quickly, connect to existing systems, and deliver scalable productions.

You will independently execute projects within approved security and data standards, accelerate decisions when needed, and train users to adopt solutions.