Solution Architect

When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

• Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.

• Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

• Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.

• Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

• Core Knowledge & Skills: Makes platform and tooling decisions, translates requirements into architecture, designs enterprise-level infrastructure, leads agile ceremonies, and participates in workforce screening and fit.

• Work & Complexity: Delivers highly creative solutions to complex problems, sets evaluation criteria, and provides technical direction across projects.

• Quality & Independence: Manages priorities and scope with clients, streamlines operations, and anticipates needs to deliver exceptional speed, accuracy, and value.

• Teamwork & Communication: Serves as prime contact for significant matters, briefs leaders and clients on new subjects, and coordinates multidisciplinary teams.

• Consulting & Engagement: Retains clients, pushes back constructively when needed, represents the firm at major events, and shapes roadmaps aligned to business goals.

We are seeking an experienced Solution Architect with a strong background in distributed systems and extensive technical expertise. The ideal candidate will possess excellent leadership skills, be collaborative, and able to challenge Product Owners and team decisions to achieve the best outcomes. They will focus primarily on backend technologies and bring consulting experience, along with strong sales and negotiation skills.

• Lead and architect complex distributed systems, integrating multiple web applications and ensuring seamless collaboration across teams.

• Collaborate closely with stakeholders to drive architectural decisions and implement best practices.

• Act as the interface between solution and development teams, ensuring alignment between strategic goals and technical implementation.

• Provide hands-on support and guidance to development teams, especially in frontend (React) and backend (C#, .Net, Azure) architectures.

• Support and mentor team members, fostering a coachable and highly collaborative environment.

• This is a remote position with occasional travel (if needed)

Technical Expertise:

• Strong knowledge of MS Stack, including C#, .Net, and Azure; hands-on experience in full-stack or backend development.

• Frontend Proficiency: Expertise in front-end architecture (React, Module Federation, Monorepo), with experience leading development across multiple teams.

• Data Engineering: Proficiency in Python, SQL, and data engineering platforms like BigData, Azure Synapse, Data Bricks, and Azure Fabric.

• Distributed System Design: Familiarity with GraphQL, JavaScript, UI performance tuning, and data integration patterns.

• Team Player: Coachable, collaborative, and driven, with a "hands-on" approach to leadership.

• Adaptable Leader: Balances technical skills with a consultative approach, aligning with both technical and business objectives.

• Experience with Hasura, GraphQL, JavaScript, and additional backend frameworks.

• Strong understanding of geospatial data applications and best practices in data engineering.

• A proactive, transparent communicator with a drive to implement and advocate for best practices.

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.