Contractor

Solution Architect AI Automation Technology Development Level Individual Contributor Experience 15 years Role Overview: Were hiring a Solution Architect for the AI Automation portfolio within Technology Development This role designs scalable reusable architecture for AI intelligent automation and agentic solutions The role works closely with business and operations stakeholders and technology vendors and delivers within MMCs technology standards using a lighttouch governance model alongside the Pod Leadership team Primary Responsibilities Core to This Role: Own architectural vision integration strategy and nonfunctional objectives for AI and automation initiatives

Translate business and operations needs into scalable secure standardsaligned solution designs Evaluate select and govern AI and automation vendor platforms against MMC technology standards Define highlevel solution structure integration patterns and deployment topology Guide Engineering Leads and delivery teams through agile delivery using a lighttouch oversight model Drive Architecture Review Board ARB discussions documentation and resolution of review comments Define and validate nonfunctional targets performance scalability availability security and disaster recovery Lead cost and total cost of ownership TCO assessments for architectural changes and new technology adoption Secondary Responsibilities Supporting As Needed: Handson development for proofofconcepts accelerators or architecture validation Support automated testing strategy and architecturealigned quality standards Provide architectural input during major production incidents or systemic risk assessments Contribute to project scheduling milestone planning and resource allocation discussions Support client relationship management and business strategy conversations alongside TPM and Product Owner

Contribute to change management discussions on architecture evolution and technology direction

MustHave Skills and Technologies:

Architecture and Design

Microservices eventdriven APIled and domaindriven architecture styles

Recognized documentation standards C4 UML ArchiMate

Securebydesign and privacybydesign principles

AI and Automation Core Domain

Handson experience designing Gen AIRAGAgentic AI LLMbased Models or agentic

solution architectures

Intelligent automation RPA integrated with AI eg document AI decisioning workflow

orchestration

Understanding of MLOps concepts model lifecycle monitoring evaluations data pipelines

etc

Vendor evaluation experience for AI and automation platforms against enterprise standards

Daily AI Tool Usage MustHave Working Style

Practical daily use of GenAI tools such as GitHub Copilot Microsoft Copilot Claude or LenAI for architecture exploration design documentation and technical writing Comfortable using AI coding assistants for code and configuration review proofofconcept scaffolding and accelerating solution design Applies prompt and context engineering fundamentals to get reliable highquality output from AI tools Treats AIassisted working as a standard part of the workflow not an occasional experiment Cloud and Platform Cloudfirst architecture design primarily AWS Containerization and Kubernetes Costaware infrastructure design and TCO analysis Security and Identity MultiFactor Authentication MFA Single SignOn OAuth SAML Secure DevOps practices Development Stack MEAN stack NET Core Python or similar middleware technologies Application Performance Monitoring APM and observability techniques Agile delivery methodology GoodtoHave Skills and Technologies: Handson experience with specific AIautomation vendor platforms eg UiPath Automation Anywhere Azure AI Foundry AWS Bedrock Google Vertex AI Experience with enterprise architecture frameworks eg TOGAF Exposure to enterprise API catalogs and API management platforms Prior experience in insurance broking or financial services domain Relevant certifications cloud architect TOGAF or AIML specialization What You Need to Have: Selfmotivated selfstarter comfortable excelling in a remote role Ability to work in a fastpaced environment with changing priorities and deadlines Strong communication across business and technical stakeholders at varying levels of seniority Inquisitive mindset with a track record of adopting new technologies and architectural patterns Keeps current with the latest AI automation and architecture trends and techniques