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Senior Level — Enterprise/Solution Architect (Life Sciences)

Macdillions Global Energy LLC · macdillionsge.com
Foster CityHybridLead / Manager15+ yrsContract
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Subscribers got this job on 3 October 2026. New jobs reach them at 8 am and 6 pm, 5 days before they open here. Get the next one first

The job in short

Enterprise and solution architecture for life sciences.

AWSAzureGCPMicroservicesAgenticAuditCompliance

Details

Found
27 d ago · posted 2026-10-03
Location as listed
Foster City, California, United States
Role
Solutions / Software Architect
Source
The company’s own careers site

Full description

Senior Level — Enterprise/Solution Architect (Life Sciences) 75hr W2 or $85hr c2c/1099 – Self Corp Location: Foster City (on-site / hybrid) 12 plus months(W2) Level: Manager/ Individual Contributor Reporting to: Head of Enterprise Architecture Ok with H1 Should have background related to Finance and AI Overall 15+ years required Role summary We are seeking a senior-level Enterprise / Solution Architect to drive enterprise and solution architecture initiatives with a strong focus on Finance domain capabilities within a Life Sciences organization. This role will be responsible for translating business and finance strategy into scalable, secure, and compliant target-state architectures, while enabling modernization through AI-driven solutions, including agentic and autonomous architectures. The role requires deep expertise in Finance systems and controls, experience operating in regulated environments, and hands-on architecture leadership across cloud, data, integration, security, and AI platforms. Key responsibilities • Define, evolve, and socialize enterprise and solution architecture strategies and roadmaps with primary ownership of the Finance domain (Record to Report, Order to Cash, Procure to Pay, FP&A, Treasury). • Ensure architecture designs meet financial compliance and control requirements, including Sarbanes-Oxley (SOX) and broader audit and regulatory standards. • Lead solution and architecture reviews; ensure adherence to architectural principles, security, scalability, and compliance expectations. • Design target-state application, data, and integration architectures, leveraging APIs, event-driven patterns, and canonical data models. • Provide architectural guidance for AI-enabled finance solutions, including: • Scalable AI/ML platform architectures • Agentic AI solutions and multi-agent orchestration • Model Context Protocol (MCP) and Agent-to-Agent (A2A) interaction patterns • Partner closely with Finance, IT, Security, and Compliance stakeholders to align architecture decisions with business outcomes. • Establish and operate architecture governance processes including intake, review, approval, and compliance tracking. • Provide architectural oversight for major finance and enterprise programs, modernization initiatives, and cloud transformations. Deliverables • Documented enterprise and finance-domain architecture vision with a 12–24 month roadmap. • Architecture decision records (ADRs) and reference designs for: • Finance platforms and integrations • AI-enabled finance use cases • Cloud landing zones, data platforms, and identity & access management • Operationalized architecture governance with clear compliance checkpoints. • Prioritized view of technical debt and modernization opportunities. Required qualifications • 15+ years of overall technology experience with 5+ years in enterprise or solution architecture roles. • Strong Finance domain architecture expertise, including systems, data, controls, and compliance. • Practical experience working with Sarbanes-Oxley (SOX) controls and audited environments. • Strong architecture skills across: • Cloud platforms (AWS / Azure / GCP) • Microservices, APIs, and event-driven architectures • Data platforms (Lakehouse, warehouse, analytics) • Security, IAM, and enterprise integration (ESB, iPaaS) • Solid experience with architecture frameworks and governance (TOGAF, ArchiMate, or equivalent). • Excellent stakeholder management skills with the ability to communicate complex concepts to both technical and non-technical audiences. Preferred skills & certifications • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience. • Certifications such as TOGAF, AWS/Azure/GCP Professional, CISSP, or PMP. • Experience in digital transformation initiatives within Life Sciences, Pharma, or regulated industries. • Prior exposure to AI/ML platforms in regulated, enterprise-grade environments.

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