Job Locations US-NH-Portsmouth | US-WA-Seattle | US-MA-Boston | US-IN-Indianapolis | US-TX-Plano

ID

2025-73522

Position Type

Full-Time

Job Grade

20

Department

0055-02111 GRS Distribution & Underwriting

Market

Corporate Center

Referral Bonus Amount

3,500

Minimum Salary

USD $156,000.00/Yr.

Maximum Salary

USD $281,000.00/Yr.

Typical Starting Salary

218,500

Recruiter

Damon Oliver

Internal Application Deadline

3/25/2026

Hiring Manager: Annalise Veno

Provides technical oversight and engineering solutions to most complex and strategic system and application development projects for the GRS Underwriting Workbench organization. Responsible for the implementation of technology by developing clear, comprehensive and integrated system, technical and/or product recommendations which support business plans and long-term strategies. Oversees design reviews and frameworks for multiple product teams and large portfolios (Risk Proposal and Issuance and Product Enablement). Working closely with Solution Architects, drives adoption of architecture standards in order to promote operational excellence, security, reliability, performance efficiency and cost optimization into operating norms. Recognized as a thought leader within discipline who influences decisions made by senior leadership and advances the craft of engineering within our organization.

Creates the conditions to fully embrace GenAI in software engineering through consistent and intentional engineering choices across the broad application portfolios. This will enable cohesive engineering/technology designs and choices within portfolios and across Distribution & Underwriting Tech. This role will also serve to simplify the ecosystem, help drive high performance engineering, thereby improving resiliency, productivity (feature throughput and quality), and lowering run cost.

Responsibilities

• Develops clear, comprehensive and integrated system, technical and/or product recommendations that ensure consistency, security, maintainability and flexibility within a business capability domain or portfolio.
• Provides consultation and collaborates with technology leaders, business partners and peer groups regarding long and short-range product features. Provides oversight at the portfolio level influencing decision-making and prioritizing the engineering backlog for the programs and teams.
• Responsible for defining and leading engineering excellence guardrails.
• Contributes toward forecasts of business and IT trends to define the technical direction within a portfolio, project or Market.
• Educates and drives adoption of the well-architected framework in order to promote Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization into cultural norms.
• Makes recommendations to improve process efficiency and effectiveness.
• Participates during incident management events and provides consultative recommendations on viable resolutions.
• Maintains collaborative and strategic partnerships between customers, vendors, business partners, and technology teams.
• Mentors staff to develop technical engineering capabilities.
• Shares expertise ensuring that teams are continuously improving and learning together to meet current and future engineering needs. Demonstrated through publication and speaking engagements or other indicators of external industry recognition of expertise.

• Advanced knowledge of agile development methodologies
• Bachelor’s or Master’s degree in technical or business discipline or equivalent experience
• 12-15+ years of related experience
• In-depth knowledge of diverse and emerging technologies and architectural concepts and principles
• In-depth understanding of layered solutions and designs; in-depth understanding of shared software concepts and product features, as well as security minded
• Proficiency in product and system components of technical architecture
• Strong influencing and consensus building skills, and the adaptability to respond to change quickly
• Strong communications skills, both written and verbal
• Strong desire to drive change, and ability to adapt to change quickly
• Strong consulting skills (relevant/technical); recognized as a thought leader within the company
• Ability to balance the long-term "big picture" and short-term implications of decisions
• In-depth knowledge of AI/ML algorithms, data processing, and analytics.
• Worked with large language models (LLMs), generative models, or transformer architectures in production.
• Experience designing and tuning prompts, chain-of-thoughts, or retrieval-augmented generation (RAG) approaches.
• Experience optimizing inference latency, throughput, and cloud cost for AI workloads.
• Familiarity with concepts like natural language processing (NLP) and computer vision.

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