AI Forward Deployed Engineer

Farmers Insurance

1d•$108,375 - $205,750•Hybrid

About The Position

The AI Forward Deployed Engineer collaborates with business stakeholders and technical teams to deliver technical solutions for complex business initiatives. The role provides systems-level technology perspectives and develops solutions aligned with business objectives, improving solution design and development processes and implementing CI/CD pipelines. It helps ensure successful technology delivery within business lines and across the enterprise, working independently with limited guidance. The position serves as a technical and strategic partner for enterprise AI adoption. It identifies and prioritizes AI opportunities, aligns initiatives with enterprise objectives, defines business outcomes and measures value realization. It works with senior business and technology leaders and partners across architecture, data, security, legal, compliance, governance, and vendor teams to deliver responsible AI solutions that balance innovation, speed, and risk. The role leads technical projects and coordinates solution engineering across teams and initiatives. It guides Agile Release Trains, resolves delivery constraints, develops scalable and performant technical designs, and supports alignment with enterprise architecture, product roadmaps, and business strategy. It also works with DevOps and quality assurance teams on CI/CD pipelines and solution validation, maintains technical documentation, shares best practices, and supports continuous learning and improvement. The position is offered in a hybrid or remote setting. Employees living within 50 miles of a Farmers corporate office work at least three days in the office and up to two days virtually; applicants beyond 50 miles may still be considered. The work is performed indoors in an office or virtually from an approved alternative work location. The job requires rare, if any, travel.

Requirements

High school diploma or equivalent required.
Minimum 5 years of experience in solution engineering, software development, systems architecture, or a related field.
Strong verbal communication and listening skills, including the ability to communicate technical information to non-technical audiences.
Demonstrated written communication and interpersonal skills.
Problem-solving skills, including troubleshooting and resolving complex technical issues.
Flexibility to work in a fast-paced, dynamic environment and ability to handle multiple priorities simultaneously.
Demonstrated project management skills.
Strong technical aptitude and proficiency in Microsoft Office.
In-depth knowledge of software architecture principles and design patterns.
Strong proficiency in one or more phases of the software development lifecycle.
In-depth knowledge of multiple systems and their key components.
Working knowledge of CI/CD pipelines and version control systems.
Familiarity with cloud platforms such as AWS or Azure.

Nice To Haves

Bachelor’s degree in computer science, engineering, or a similar field preferred.
Experience with Agile methodologies and working in Agile teams preferred.
Experience in the insurance industry preferred.

Responsibilities

Engage with business stakeholders and technical teams to understand complex initiatives, gather requirements, develop and validate solutions, and evaluate implementation alternatives.
Lead multiple technical projects and coordinate solution engineering efforts across teams and initiatives, using performance metrics to assess effectiveness and make adjustments.
Manage non-functional requirements and ensure compliance with industry standards throughout solution development and delivery.
Serve as a servant leader for solutions, supporting Agile Release Trains, identifying and resolving delivery constraints, and coordinating with Release Train Engineers.
Provide a systems view of the development lifecycle and align technology delivery and architecture with business objectives.
Develop and refine technical designs for complex solutions to meet business requirements, scalability, and performance needs.
Collaborate with developers and Agile Release Trains to align solutions with enterprise architecture.
Work with DevOps teams to implement and maintain CI/CD pipelines and streamline deployment and feature integration.
Engage with quality assurance teams to validate performance and reliability standards.
Monitor delivery progress, resolve issues affecting timelines, and contribute to technical problem solving during development and deployment.
Maintain technical documentation as solution architecture or functionality changes and share solution engineering best practices.
Identify and prioritize enterprise AI opportunities aligned with business objectives, with defined outcomes, investment rationale, value targets, and executive sponsorship.
Partner with business and technology leaders to identify AI opportunities in customer experience, efficiency, productivity, risk management, and revenue growth.
Drive alignment across business units, technology teams, governance bodies, and executive stakeholders to accelerate AI adoption and address organizational barriers.
Define and track business KPIs for AI investments and establish frameworks for opportunity assessment, business cases, prioritization, value tracking, and executive reporting.
Lead AI initiative governance and prioritization in alignment with enterprise strategy, regulatory requirements, risk appetite, and organizational capacity.
Develop and share enterprise AI success stories demonstrating business impact.
Champion responsible AI and innovation through executive engagement, workshops, forums, strategic planning, and change management.
Enable leaders, product owners, and business teams to evaluate and adopt AI solutions that produce measurable business outcomes.
Partner with architecture, data, security, legal, compliance, and governance teams to ensure AI solutions meet enterprise standards.
Provide executive visibility into AI strategy, investments, risks, adoption metrics, and business outcomes through reporting, scorecards, and portfolio reviews.
Build partnerships with internal teams and external vendors to accelerate innovation and enterprise value.
Promote continuous improvement, experimentation, business transformation, and value-driven adoption of AI technologies.
Perform other duties as assigned.