Senior Consultant, Software Engineering, Forward Deployed Engineering

Nationwide

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Columbus, OHScottsdale, AZDes Moines, IA
Salary
$149,000–$262,000 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $190k
This role $206k
$129k $276k
below market most similar roles pay here above market

This role pays more than 59% of similar roles. Most pay $165,000–$214,500 — the blue band above. At the midpoint, this role pays about $206k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About Nationwide

Nationwide is a Fortune 100 insurance and financial services company offering auto, home, life, and commercial insurance along with retirement savings, asset management, and banking products. Industry: Insurance & Financial Services

Nationwide currently has 62 open roles on FindRole.

Listed pay typically runs $118,000–$222,000 across 22 roles with salary data.

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View all roles at Nationwide

At a glance

TL;DR · Senior Consultant, Software Engineering, Forward Deployed Engineering

JOB TITLE: Sr Consultant, Software Engineering — Forward Deployed Engineering The Sr Consultant, Software Engineering — Forward Deployed Engineering leads the design, development, deployment, and continuous improvement of complex AI solutions within the Technology team. This role involves providing technical direction for model integration, agent development, cloud and software architecture, evaluation, observability, security, privacy, governance, reliability, and cost management. You will build and contribute to reusable enterprise capabilities including LLM-as-a-Service, AgentCore, MCP services, and guardrails. The position requires proficiency in Java, C++, Python, and JavaScript to solve sophisticated business problems. You will manage multiple project priorities, mentor engineers on coding standards, and drive DevSecOps practices. The work focuses on establishing service boundaries between solution-specific engineering and shared platform engineering to ensure production readiness and measurable outcomes for enterprise AI solutions.

What you'll do

  • Lead the design, development, deployment, and continuous improvement of complex AI solutions to deliver enterprise value.
  • Provide technical direction for model integration, agent development, cloud architecture, and security and privacy.
  • Establish clear service boundaries between solution-specific engineering and shared AI platform engineering.
  • Manage the production readiness, reliability, supportability, and lifecycle health of AI solutions.
  • Apply secure software and systems engineering practices throughout the entire delivery lifecycle.
  • Mentor and train other engineers on design techniques, coding standards, and modern tools.
  • Set the technical direction for DevSecOps practices to strengthen automation and delivery speed at scale.
  • Analyze complex solutions to develop, test, debug, and document software according to best practices.

What we're looking for

  • Undergraduate studies in computer science, management information systems, or related degrees, or equivalent technology experience/certificates.
  • Eight or more years of programming, software engineering, or analysis experience.
  • Proficiency in multiple programming languages such as Java, C++, Python, and JavaScript.
  • Hands-on technical leadership experience leading project teams and setting technical direction.
  • Extensive knowledge of the software development lifecycle.
  • Experience in design, development, deployment, and continuous improvement of complex AI solutions.
  • Ability to provide technical direction for DevSecOps practices, tooling, and techniques.
  • Insurance/financial services industry knowledge (preferred).

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