Solutions Architect II
Lenexa, KS, US Omaha, NE, US Dallas, TX, US Westlake, TX, US
Requisition ID: 181458
Job Level: Mid Level
Home District/Group: DHO Information Technology Group
Department: Technology Group
Market: Corporate Home Office
Employment Type: Full Time
Position Overview
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
District Overview
Kiewit Technology Group (KTG) builds solutions to enable and support a $15 billion company. Our mission is to deliver project schedule and cost certainty by employing technology designed by and for the construction industry. Our team deploys technology solutions to the field and home office departments that increase profitability by maximizing the way we use our people and resources in daily operations, KTG uses systems and tools that manage every part of Kiewit’s business and lifecycle of a project to improve planning and day-to0day execution in the field by giving our people real-time data to make faster, smarter decisions. When you join KTG, you will make an impact on the critical work we do every day.
Location
This is a full time in office role. We are willing to consider candidates in one of the following locations: LaVista, NE; Lenexa, KS or Dallas/Westlake, TX
Responsibilities
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
Qualifications
- 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.
- 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.
Equal Opportunity Employer, including disability and protected veteran status.
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Solution Architect, Cloud, Developer, .NET, Construction, Technology, Engineering