Solutions Architect II
Role details
Job location
Tech stack
Job description
TAG (Transformation Acceleration Group) is hiring a Solutions Architect I to help design and deliver AI-powered enterprise applications across Kiewit's district portfolio. This role is ideal for a developer who has outgrown pure implementation and is ready to think at the systems level - shaping how applications are structured, how they integrate, and how AI can be leveraged to accelerate delivery. You'll work alongside senior architects while building your own architectural instincts through hands-on design and mentorship.
What Makes this Role Unique
-
You'll architect AI-powered solutions, not just use AI as a feature - it's woven into how we design and build
-
TAG is building the foundational platforms for a $15B+ enterprise - your designs will scale across 40+ districts
-
You'll work across problem domains: internal platforms, district tools, AI governance, and SAP integration
-
Strong mentorship culture: direct access to senior architects with deep Azure, AI, and enterprise experience
-
We practice what we preach - our own development process uses AI agents, automated specs, and structured verification
Growth & Mentorship
-
Pair regularly with senior architects on design sessions, trade-off analysis, and stakeholder communication
-
Participate in TAG's architecture review board and contribute to enterprise patterns library
-
Access to learning resources, conference attendance, and certification support
-
Clear progression path to Senior Solutions Architect based on demonstrated architectural leadership
-
Opportunity to define new patterns at the intersection of AI, governance, and enterprise software, Collaborate with senior architects to design application architectures for TAG platforms and district-specific solutions
Translate business requirements into technical designs: component diagrams, data models, integration patterns, and API contracts
Evaluate and recommend AI integration patterns: agent architectures, LLM-assisted workflows, RAG, and structured output
Contribute to architecture decision records (ADRs) and maintain living documentation
Prototype proof-of-concept solutions to validate architectural assumptions
Support Infrastructure-as-Code development: Bicep modules, GitHub Actions workflows, and environment provisioning
Participate in design reviews, threat modeling sessions, and cross-team architecture forums
Mentor developers on architectural patterns, best practices, and AI-augmented development techniques
Stay current on Azure services, AI tooling, and industry patterns - and share learnings with the team
Help evaluate third-party tools and services for fit within Kiewit's enterprise constraints
Requirements
-
3-5 years of professional software development experience
-
Strong fundamentals in distributed systems, API design, and cloud-native architecture
-
Experience with Azure or AWS cloud services (compute, identity, networking, storage)
-
Proficiency in at least two of: React/TypeScript, Python, C#/.NET
-
Demonstrated curiosity about AI/ML: prompt engineering, LLM integration, agent patterns, or model evaluation
-
Ability to communicate technical concepts through diagrams, documentation, and collaborative design sessions
-
Growth mindset - eagerness to learn from senior architects and continuously expand your skills
Preferred Qualifications
-
Experience designing multi-service architectures (microservices, event-driven, or modular monolith patterns)
-
Familiarity with Azure Container Apps, Entra ID, Bicep, and API Management
-
Hands-on experience with AI-assisted development tools (Claude, Copilot, Cursor)
-
Exposure to agentic AI patterns: tool use, multi-agent orchestration, function calling
-
Azure certifications (AZ-204, AZ-305) or equivalent cloud architecture training
-
Experience in construction technology, industrial systems, or regulated environments #LI-AK1
Other Requirements:
-
Regular, reliable attendance
-
Work productively and meet deadlines timely
-
Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
-
Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
Benefits & conditions
-
Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
-
May work at various different locations and conditions may vary.
We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.