Senior Solution Architect, Data & AI

Swinerton

Senior Solution Architect designing and evolving Swinerton’s enterprise data and AI platform. Ensuring it is technically strong, AI‑ready, and aligned to business outcomes.

Posted 6/17/2026full-timeConcord • California, New York, North Carolina • 🇺🇸 United StatesSenior💰 $150,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloud

About the role

Key responsibilities & impact

Define, review, and refine data and AI architecture designs to support analytics, AI/ML, and agent-based use cases.
Participate in architecture discussions and decisions to ensure alignment with enterprise architecture standards, security requirements, and business priorities.
Design and review platform components supporting AI/ML and agent-based solutions, including model management, feature stores, vector and graph databases, metadata management, and orchestration frameworks.
Guide weekly technical decisions related to platform scalability, reuse, and integration.
Work with business partners, data engineers, data scientists, and analysts to translate requirements into architectural blueprints and implementation plans.
Collaborate with engineering and BTech teams to ensure data is discoverable, trusted, and structured to support AI and analytics use cases.
Perform hands-on architectural implementation and validation to de-risk designs and unblock delivery teams.
Lead recurring architecture reviews and design checkpoints.
Create and update architecture diagrams, standards, and reference materials as part of ongoing solution work.
Evaluate tools, patterns, or approaches relevant to active or upcoming initiatives.
Identify and raise opportunities to simplify designs, reduce technical debt, or modernize platform approaches as part of regular solution work.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
8+ years of experience in data architecture, solution architecture, or enterprise architecture roles
Strong architectural and hands-on experience with modern data platforms, cloud infrastructure, analytics ecosystems, and agent-based systems
Experience architecting solutions across structured and unstructured data, including real-time and sensor-driven use cases (e.g., IIoT, geospatial, drone data)
Hands-on experience designing and implementing solutions on modern data platforms (e.g., Databricks, Snowflake, Azure Data Services, or similar)
Hands-on experience enabling AI/ML and agent-based solutions within enterprise platforms, including model management, agent orchestration, and lifecycle considerations (e.g., LangChain, AutoGen, Semantic Kernel, Microsoft AI Foundry)
Strong communication and stakeholder engagement skills.

Benefits

Comp & perks

medical
dental
vision
401(k) with company matching
Employee Stock Ownership Program (ESOP)
individual stock ownership
paid vacation
paid sick leave
paid holidays
bereavement leave
employee assistance program
pre-tax flexible spending accounts
basic term life insurance and AD&D
business travel accident insurance
short and long term disability
financial wellness coaching
educational assistance
Care.com membership
ClassPass fitness membership
DashPass delivery membership
Voluntary benefits include additional term life insurance
long term care insurance
critical illness and accidental injury insurance
pet insurance
legal plan
identity theft protection
other voluntary benefit options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturesolution architectureenterprise architecturemodern data platformscloud infrastructureanalytics ecosystemsAI/ML solutionsmodel managementagent orchestrationlifecycle considerations

Soft Skills

strong communicationstakeholder engagement

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Engineering