AI Forward Deployed Engineer

Job Summary

Essential Tasks & Leadership Philosophy

• Engages with cross-functional business stakeholders and technical teams to understand and address complex initiatives within a business unit or at the enterprise level. Participates in discussions to gather requirements, develop solutions, validate technology assumptions, and evaluate implementation alternatives. Influences solution strategies by leveraging in-depth business knowledge and practical experience in solution engineering.
• Leads multiple technical projects simultaneously by prioritizing and coordinating solution engineering efforts across teams and initiatives. Uses established performance metrics to measure effectiveness and make necessary adjustments. Manages non-functional requirements and ensures compliance with industry standards throughout the solution development and delivery process.
• Acts as a servant leader for the solution by ensuring Agile Release Trains operate effectively. Identifies and resolves constraints across the development and delivery process while collaborating with Release Train Engineers to coordinate delivery. Provides a systems view of the development lifecycle to guide technology delivery and align architecture with business objectives. Serves solutions with one or more Agile Release Trains or business units.
• Develops and refines technical designs to meet business requirements for complex solutions while ensuring scalability and performance. Collaborates with developers and Agile Release Trains to align solutions with enterprise architecture. Works with DevOps teams to implement and maintain CI/CD pipelines that streamline deployment and integrate new features. Engages with quality assurance teams to validate that technical solutions meet performance and reliability standards.
• Supports development and delivery of complex solutions by ensuring technical implementations align with product roadmaps and overarching business strategies. Monitors progress, resolves issues affecting delivery timelines, and contributes to technical problem-solving efforts during development and deployment phases. Collaborates with business stakeholders and technical teams to address challenges and optimize solutions.
• Maintains technical documentation for solutions to facilitate knowledge sharing and makes updates as architecture or functionality changes. Engages in continuous learning to stay current with trends and technologies in solution engineering. Applies learning to enhance own skills and impact the quality of work produced. Shares best practices in solution engineering across business units and the enterprise to promote peer learning. Supports pioneering of design and development practices to promote innovation and improvement across solutions.
• Performs other duties as assigned.

Education & Career Experience Requirements

• High School Diploma or equivalent required. Bachelors degree preferred in computer science, engineering, or similar field.
• Minimum 5 years of experience required in solution engineering, software development, systems architecture, or related.
• Experience with Agile methodologies and working in Agile teams preferred.
• Experience in the insurance industry preferred.

First Year Success Factors

• Establish credibility as the trusted advisor and primary point of accountability for AI strategy and business value realization across IT and business organizations.
• Develop and maintain a prioritized portfolio of AI opportunities aligned to enterprise objectives, ensuring clear business outcomes, investment rationale, value realization targets, and executive sponsorship.
• Partner with senior business and technology leaders to identify strategic opportunities where AI can improve customer experience, operational efficiency, employee productivity, risk management, and revenue growth.
• Drive enterprise alignment across business units, technology teams, governance bodies, and executive stakeholders to accelerate AI adoption and remove organizational barriers to execution.
• Define and track meaningful business KPIs for AI investments, ensuring measurable outcomes through productivity gains, cost reduction, process optimization, improved decision-making, and customer impact.
• Lead the governance and prioritization process for AI initiatives, ensuring investments are aligned with enterprise strategy, regulatory requirements, risk appetite, and organizational capacity.
• Build and institutionalize repeatable frameworks for AI opportunity assessment, business case development, prioritization, value tracking, and executive reporting.
• Create a portfolio of enterprise AI success stories that demonstrate business impact and serve as catalysts for broader adoption across the organization.
• Champion a culture of innovation and responsible AI by leading executive engagement, business workshops, innovation forums, strategic planning sessions, and change management initiatives.
• Influence and enable leaders, product owners, and business teams to identify, evaluate, and adopt AI-powered solutions that deliver measurable business outcomes.
• Partner with architecture, data, security, legal, compliance, and governance teams to ensure AI solutions meet enterprise standards while balancing speed, innovation, and risk management.
• Establish executive-level visibility into AI strategy, investments, risks, adoption metrics, and business outcomes through regular reporting, scorecards, and portfolio reviews.
• Build strategic partnerships across internal teams and external vendors to accelerate innovation, leverage emerging capabilities, and maximize enterprise value.
• Foster an organization-wide mindset focused on continuous improvement, experimentation, business transformation, and value-driven adoption of AI technologies.

Additional Qualification

• Strong verbal communication and listening skills. Able to clearly communicate technical information to non-technical audiences.
• Demonstrated written communication skills.
• Effective interpersonal skills.
• Demonstrated problem solving skills. Able to troubleshoot and resolve complex technical issues.
• Possesses flexibility to work in a fast paced, dynamic environment.
• Ability to simultaneously handle multiple priorities.
• Demonstrated project management skills.
• Possesses strong technical aptitude. Proficiency in Microsoft Office suite. 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, Azure, etc.

Physical Actions