Solution Architect

• Team: Business Applications and Tools
• Location: US-MA-Natick
• Salary Range: $136,900 - $219,000

1. to improve how we work (productivity and quality across the delivery lifecycle), and
   
   
2. to incorporate AI capabilities into the applications we build (using a variety of models, services, and AI-enabled SaaS features).
   
   

• Design and evolve systems using AWS cloud-native services, aligned with the AWS Well-Architected Framework.
• Lead solution designs across distributed systems, including integration strategies, APIs, asynchronous messaging, data flows, and hybrid/SaaS connectivity.
• Ensure security and resilience are built into the architecture from the start (secure-by-design patterns, least privilege, operational readiness).

• Improve resilience by contributing to risk assessments, disaster recovery plans, business continuity plans, and highly available architecture solutions.
• Partner with engineering and platform teams to improve observability, incident readiness, and operational excellence.

• Participate in and improve architecture and design reviews—focused on enabling delivery, reducing risk, and improving quality.
• Advance practical enterprise architecture capabilities: maintain visibility into the application portfolio, identify modernization opportunities, and adopt tooling that supports healthy outcomes.
• Make clear, evidence-based recommendations on when to buy versus build solutions, and which vendor platform suites best align to specific capabilities.
• Mentor engineers and peers through collaboration, pairing, reviews, and knowledge sharing.

• Make AI a practical part of day-to-day delivery: accelerate discovery, design, implementation, testing, and operations using AI tooling and coding agents.
• Help teams adopt effective patterns for AI-assisted engineering (e.g., assisted coding, test generation, debugging support, documentation and runbook improvements).
• Guide teams in using a variety of AI capabilities (models, services, and AI features in SaaS products) based on outcomes, reliability, safety, and cost. 

• Design application architectures that incorporate AI capabilities in a responsible, maintainable way (e.g., intelligent search/assist, summarization, classification, workflow augmentation).
• Define practical integration patterns for AI services in enterprise applications (e.g., retrieval/knowledge augmentation, guardrails, evaluation approaches, telemetry, fallbacks).
• Partner with product owners and engineering teams to identify valuable use cases, clarify requirements, and deliver solutions that measurably improve user and business outcomes.

• Translate business goals into pragmatic architecture decisions and delivery plans.
• Provide hands-on support where needed: prototypes, technical spikes, design iterations, and implementation guidance.
• Communicate clearly through diagrams, decision records, and concise written guidance that helps teams move faster.

• A bachelor's degree and 10 years of professional work experience (or equivalent experience) is required.
• Must hold a degree focused on Computer Science
• Expertise with software development

• Experience: 10+ years of professional experience in software engineering, quality engineering, data architecture, and/or software architecture, with demonstrated contributions to delivering production systems.
• Architecture Responsibilities:2+ years performing architecture responsibilities across solution/application architecture, cloud architecture, and/or enterprise architecture.
• Education:Bachelor’s degree in Computer Science or a related field (Master’s a plus) or equivalent practical experience.
• Hands-on Architecture: Proven ability to operate as a hands-on architect, comfortable moving between strategy, design, and tactical implementation support.
• Secure & Resilient Design: Strong background designing secure, resilient systems in cloud and distributed environments.
• Influence & Collaboration: Demonstrated ability to influence without authority, collaborating effectively with leaders and engineers in a matrix environment.
• Communication: Excellent written and verbal communication skills—able to explain complex technical ideas to diverse audiences and document decisions clearly.

• Experience designing and evolving solutions using AWS cloud-native services, aligned with Well-Architected principles (security, reliability, operational excellence, performance, and cost).
• Experience improving application resilience through risk assessments, disaster recovery, and business continuity planning.
• Experience integrating complex systems (APIs, event-driven patterns, data pipelines, SaaS integrations) and applying pragmatic architecture approaches (e.g., lightweight modeling, decision records).
• Experience incorporating AI capabilities into applications and using AI tooling to improve delivery outcomes (without needing prior model-building experience).