Senior Applied AI Engineer: Client-Facing, Production ML

Groundswell; Kentucky; On-site; USD 150,000 - 205,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

401K Match (immediate vesting)

Paid Time Off

Tuition reimbursement and professional

Flexible work schedule

On-site gym and childcare option

Job summary

Groundswell seeks an AI solutions engineer to turn ambiguous business problems into working AI solutions in a client-facing, hands-on role.

You’ll work with stakeholders to assess AI value, design the approach, build and demonstrate it, and own the production lifecycle.

Role blends AI capability, engineering rigor, and clear communication; U.S. Citizenship is required and the ability to obtain a federal clearance may be needed.

Qualifications

• 7+ years building and shipping production software.
• 2+ years hands-on experience building applications that integrate large language models, including prompt engineering, retrieval-augmented generation, structured extraction, tool use, and agent patterns.
• Demonstrated experience evaluating AI system quality, including building test sets, defining metrics, and making deployment decisions based on evidence.
• Strong programming ability in Python/TypeScript/SQL, with API integration and handling imperfect data across the full application lifecycle.
• Proven ability to lead requirements conversations with non-technical stakeholders and translate what you hear into a technical approach.

Responsibilities

• Lead discovery with business and technical stakeholders to understand the workflow and success criteria.
• Define measurable success criteria before building, including accuracy targets and acceptance conditions.
• Recommend against AI when a simpler solution is right.
• Select the AI pattern appropriate to the problem (extraction, classification, summarization, retrieval, agentic workflows).
• Make and defend architecture decisions on where workloads run considering cost, latency, security, and authorization.
• Build the complete capability (prompt design, retrieval, tools, APIs, data handling, UI).
• Build evaluation sets from real data and measure against them.
• Determine readiness for deployment and operationalize in the client environment.
• Produce documentation covering what the solution does, limitations, validation, and failure modes.
• Monitor quality, cost, latency, and drift post-launch.

Skills

AI system design

Prompt engineering

Retrieval augmented generation

APIs integration

Python/TypeScript/SQL

Stakeholder communication

Decision making under ambiguity

Education

Master's degree in a relevant field

Tools

Appian

OutSystems

Mendix

Power Platform

ServiceNow

Salesforce

Job description

Groundswell seeks an AI solutions engineer to turn ambiguous business problems into working AI solutions in a client-facing, hands-on role.

You’ll work with stakeholders to assess AI value, design the approach, build and demonstrate it, and own the production lifecycle.

Role blends AI capability, engineering rigor, and clear communication; U.S. Citizenship is required and the ability to obtain a federal clearance may be needed.