Senior Solution Architect - Data & AI

Compensation Range:

$150,000.00 - $200,000.00 Annual Salary

Job Description Summary:

We are seeking a Senior Solution Architect to design, build, and evolve Swinerton’s enterprise data and AI platform, ensuring it is technically strong, AI‑ready, and tightly aligned to business outcomes. This role combines hands‑on implementation with strategic foresight - guiding the selection and integration of data, AI/ML, and agent platforms to create scalable, trusted foundations that support future growth and innovation.

Job Description:

Essential Responsibilities:

Enterprise Data & AI Architecture Design & Decision‑Making: 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.

AI/ML and Agent Platform Design & Enablement: 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.

Solution Design Collaboration & Reviews: Work with business partners, data engineers, data scientists, and analysts to translate requirements into architectural blueprints and implementation plans. Participate regularly in design sessions, solution reviews, and tradeoff discussions to ensure secure and scalable outcomes.

AI‑Ready Data Architecture Enablement: Collaborate with engineering and BTech teams to ensure data is discoverable, trusted, and structured to support AI and analytics use cases. Review approaches for metadata, governance integration, unstructured data handling, and orchestration patterns.

Hands‑On Architectural Implementation & Validation: Perform hands‑on architectural implementation and validation to de‑risk designs and unblock delivery teams.

Architecture Governance & Design Reviews: Lead recurring architecture reviews and design checkpoints. Maintain and apply architectural standards, reference patterns, and architectural decision records to guide consistent delivery across initiatives.

Cross‑Functional Advisory & Stakeholder Engagement: Serve as an ongoing technical advisor to cross‑functional teams through regular meetings, reviews, and working sessions. Provide guidance on architectural options, risks, and tradeoffs.

Architecture Documentation & Knowledge Sharing: Create and update architecture diagrams, standards, and reference materials as part of ongoing solution work. Share architectural guidance with teams to support reuse and consistency.

Technology Evaluation & Design Exploration: Evaluate tools, patterns, or approaches relevant to active or upcoming initiatives. Review vendor capabilities, platform features, or architectural patterns to inform near‑term and future solution decisions.

Continuous Architecture Improvement: Identify and raise opportunities to simplify designs, reduce technical debt, or modernize platform approaches as part of regular solution work.

Minimum 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 (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.

Summary of Benefits:

This role is eligible for the following benefits:  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, and 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, and other voluntary benefit options.

Anticipated Job Application Deadline:

11/27/2026