Senior Solution Architect, Data & AI
About The Position
Swinerton is seeking a Senior Solution Architect to design, build, and evolve its enterprise data and AI platform. The role ensures the platform is technically strong, AI-ready, and aligned with business outcomes. It combines hands-on implementation with strategic guidance on selecting and integrating data, AI/ML, and agent platforms to create scalable, trusted foundations for future growth and innovation. The architect works with business partners, data engineers, data scientists, analysts, engineering teams, and BTech teams to translate requirements into architectural blueprints and implementation plans. The role provides ongoing technical advice, leads architecture reviews, documents standards and patterns, and evaluates technologies and approaches for current and future initiatives.
Requirements
- 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 such as IIoT, geospatial, and drone data.
- Hands-on experience designing and implementing solutions on modern data platforms such as 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; examples include LangChain, AutoGen, Semantic Kernel, and Microsoft AI Foundry.
- Strong communication and stakeholder engagement skills.
Responsibilities
- Define, review, and refine data and AI architecture designs for analytics, AI/ML, and agent-based use cases, ensuring alignment with enterprise architecture standards, security requirements, and business priorities.
- Design and review platform components for AI/ML and agent-based solutions, including model management, feature stores, vector and graph databases, metadata management, and orchestration frameworks.
- Guide technical decisions related to platform scalability, reuse, and integration.
- Collaborate with business partners, data engineers, data scientists, and analysts to turn requirements into architectural blueprints and implementation plans.
- Participate in design sessions, solution reviews, and tradeoff discussions to support secure and scalable outcomes.
- Collaborate with engineering and BTech teams to make data discoverable, trusted, and structured for AI and analytics use cases.
- Review approaches to metadata, governance integration, unstructured data handling, and orchestration patterns.
- Perform hands-on architectural implementation and validation to de-risk designs and unblock delivery teams.
- Lead recurring architecture reviews and design checkpoints; maintain and apply architectural standards, reference patterns, and architectural decision records.
- Advise cross-functional teams through regular meetings, reviews, and working sessions, including guidance on architectural options, risks, and tradeoffs.
- Create and update architecture diagrams, standards, and reference materials, and share guidance to support reuse and consistency.
- Evaluate tools, vendor capabilities, platform features, and architectural patterns to inform near-term and future solution decisions.
- Identify opportunities to simplify designs, reduce technical debt, or modernize platform approaches.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 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
- Additional term life insurance (voluntary)
- Long-term care insurance (voluntary)
- Critical illness and accidental injury insurance (voluntary)
- Pet insurance (voluntary)
- Legal plan (voluntary)
- Identity theft protection (voluntary)
- Other voluntary benefit options
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What This Job Offers
Job Type
Full-time
Career Level
Senior
