Senior AI Solutions Engineer

. Design, build, and deploy AI applications for knowledge assistance, document processing, financial analysis, and multi-step workflow automation .

Posted 9/24/2026full-timeSeattle • Washington • United StatesSenior💰 $198,900 - $298,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying AI applications, with a strong focus on secure application practices, enterprise integrations, and automated testing. Proficient in Python and SQL, with a solid understanding of software engineering principles and experience in financial and control-sensitive environments.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyAI Application DevelopmentEnterprise API IntegrationSoftware Testing

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Python ProgrammingSQL ProficiencyAI Application DevelopmentSoftware TestingDeployment PipelinesEnvironment ManagementMonitoringRelease ProceduresData EngineeringAutomation

Soft Skills

Problem SolvingCommunicationOwnershipCollaborationStakeholder Engagement

Tools & Technologies

GitMicrosoft GraphDataverseSharePointCopilot StudioSalesforceTableau

Industry Keywords

Financial AnalysisDocument ProcessingWorkflow AutomationSecure AI DesignControl-Sensitive Functions

Tech Stack

Tools & technologies

CloudPythonSQLTableau

About the role

Key responsibilities & impact

Design, build, and deploy AI applications for knowledge assistance, document processing, financial analysis, and multi-step workflow automation
Assess prototypes and develop them into maintainable applications with usable interfaces, enterprise integrations, and clear operational ownership
Build reliable connections to approved enterprise systems and data sources with permission-aware retrieval, validated queries, and controlled knowledge updates
Establish automated testing and AI evaluations for factual grounding, task completion, numerical accuracy, exception handling, and representative business scenarios
Implement secure deployment and operational practices, including access controls, human approval gates, audit logging, monitoring, cost management, and recovery procedures
Translate stakeholder needs into requirements, architecture, estimates, and acceptance criteria
Select AI, conventional automation, or existing tools as appropriate
Create reusable components, documentation, and support runbooks
Review vendor deliverables and support knowledge transfer, demonstrations, and team enablement
Perform other related duties as assigned
Partner with Finance stakeholders and F5’s Digital organization
Own technical design and implementation across the application lifecycle

Requirements

What you’ll need

Strong Python and SQL skills
Demonstrated ownership of production applications from technical design through deployment and ongoing support
Hands-on experience building LLM applications using retrieval-augmented generation, structured outputs, tool calling, and controlled multi-step workflows
Experience integrating enterprise APIs and data sources, including authentication, authorization, background processing, retries, timeouts, and failure recovery
Practical expertise in software and AI testing, Git, deployment pipelines, environment management, monitoring, and release procedures
Understanding of secure AI application design, including sensitive-data handling, least privilege, prompt-injection risks, source attribution, and human oversight
Ability to independently resolve ambiguous technical problems and communicate tradeoffs clearly
Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent practical experience
Minimum of five years in software engineering, applied AI, data engineering, or automation
Preferred: Experience with Finance, Accounting, Internal Audit, or other control-sensitive functions
Preferred: Experience with enterprise cloud AI services, Microsoft Graph, Dataverse, SharePoint, Copilot Studio, or comparable platforms
Preferred: Experience building MCP servers or integrations, lightweight web applications, and reusable services
Preferred: Familiarity with Salesforce, Tableau, or enterprise warehouses

Benefits

Comp & perks

Incentive compensation
Bonus
Restricted stock units
Benefits package
Reasonable accommodations for candidates