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Staff Software Engineer – AI Center of Excellence
Neilson Financial ServicesStaff Software Engineer leading AI development at Neilson Financial Services. Shaping innovation and guiding software engineering teams in a rapidly evolving technology environment.
Posted 7/7/2026full-timeRemote • California, New York, Washington • 🇺🇸 United StatesLead💰 $275,000 - $350,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and delivering complex software systems in cloud environments, with a strong focus on AI integration, cloud-native architecture, and modern DevOps practices. Proven ability to mentor teams, establish engineering standards, and drive the adoption of AI-driven development methodologies.
Highest-signal resume keywords
AI IntegrationCloud-Native ArchitecturePython DevelopmentInfrastructure as CodeDevOps Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software System DesignCloud EnvironmentsPythonGo.NETTerraformLLM APIsSDKsOrchestration PlatformsCI/CD Pipelines
Soft Skills
Technical LeadershipMentorshipCollaborationCommunication
Tools & Technologies
AzureAWSInfrastructure as CodeDevOps ToolsAI Tooling
Industry Keywords
AI Center of ExcellenceEngineering PatternsSoftware DeliveryOperational ExcellenceSecurity Compliance
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGo.NETPythonTerraform
About the role
Key responsibilities & impact- Serve as the technical leader for the AI Center of Excellence, establishing engineering patterns, frameworks, and best practices that enable AI-assisted software development across the organization
- Design and implement scalable multi-agent AI harnesses and developer workflows that accelerate software delivery while maintaining security, reliability, and governance
- Partner with engineering teams to modernize existing applications and guide the adoption of AI-driven development practices across multiple product domains
- Architect cloud-native solutions leveraging Azure, AWS, infrastructure-as-code, and modern DevOps practices to support enterprise-scale software delivery
- Evaluate emerging AI tooling, local and hosted LLMs, inference frameworks, SDKs, and orchestration technologies, recommending solutions that align with business objectives
- Establish reusable engineering standards, reference implementations, and technical frameworks that enable teams to build AI-powered applications consistently
- Mentor engineers across the organization, acting as a trusted technical advisor while helping teams adopt modern software engineering and AI development practices
- Collaborate closely with product, infrastructure, security, and architecture teams to ensure AI solutions meet enterprise standards for scalability, compliance, and operational excellence
- Drive proof-of-concepts through production deployment, demonstrating measurable improvements in developer productivity and software delivery
- Build and lead a small team of engineers as the AI Center of Excellence grows
Requirements
What you’ll need- Demonstrated expertise in designing and delivering complex software systems in modern cloud environments
- Deep experience building production software using Python and at least one compiled language such as Go or .NET
- Strong knowledge of Azure and/or AWS cloud platforms, cloud-native architecture, and distributed systems
- Experience with Infrastructure as Code using Terraform or equivalent technologies
- Proven experience integrating AI capabilities into software development workflows, including experience with LLM APIs, SDKs, agent frameworks, orchestration platforms, or local inference solutions
- Strong understanding of secure software engineering, CI/CD pipelines, DevOps practices, and modern software delivery methodologies
- Experience developing architectural standards, reusable frameworks, and engineering patterns used by multiple development teams
- Ability to influence technical direction across teams through collaboration, mentorship, and technical leadership rather than organizational authority
- Comfortable working in Agile environments with a bias toward pragmatic, iterative delivery and continuous improvement
- Excellent communication skills with the ability to translate complex technical concepts for both engineering and executive audiences.
Benefits
Comp & perks- Medical
- Dental
- Vision
- LTD
- STD
- AD&D
- Life
- 401(K) with company match
- Generous PTO policy