Software Architect – AI Lead

Langate Software

. Go through knowledge transfer and build a deep understanding of the existing product, its architecture and integrations .

Posted 10/21/2026full-timeRemote • UkraineSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Software Architecture and Team Leadership, with a strong focus on modernizing SaaS platforms in the U.S. healthcare insurance domain. Proficient in .NET/C#, Azure Cloud solutions, and AI-driven development methodologies.

Highest-signal resume keywords

Software ArchitectureTeam LeadershipAzure Cloud SolutionsAI EngineeringModernization of Legacy Systems

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

.NETC#ASP.NET FrameworkASP.NET CoreAngularReactAI SDLCAgentic EngineeringAutomated TestingCI/CD

Soft Skills

MentoringCollaborationCommunicationTrust BuildingCoaching

Tools & Technologies

Azure Web AppsAzure Container AppsService BusKey VaultCosmos DBApplication Insights

Industry Keywords

HealthcareInsuranceHIPAASensitive DataBrownfield Modernization

Tech Stack

Tools & technologies

AngularASP.NETAzureCloudReactSDLCVaultGo.NET

About the role

Key responsibilities & impact

Go through knowledge transfer and build a deep understanding of the existing product, its architecture and integrations
Define and agree on non-functional requirements with the Engineering Manager and business
Define the target architecture and phased modernization strategy
Decide what to rewrite, keep, including integrations, and move into separate services
Record key decisions as ADRs and turn them into architecture artifacts and specifications
Validate architecture decisions with the Engineering Manager
Build a proof of concept
Lead implementation of new modules and features while staying hands-on in the code
Own the team’s technical delivery as Team Lead
Run design and code reviews
Grow engineers through mentoring and pairing
Teach the team AI-SDLC and Agentic Engineering through regular workshops and real tasks
Maintain a shared team playbook with specifications, agent instructions and review checklists
Assess the current team and form the new core team
Build trust and effective collaboration within the team
Keep the current product stable in production throughout the transition
Modernize a SaaS platform for the U.S. healthcare insurance domain that processes insurance-related data and connects to multiple data sources

Requirements

What you’ll need

Proven experience as a Software / Application or Solution Architect, combined with a Team Lead role
Strong .NET / C# background across ASP.NET Framework and ASP.NET Core, including migration from .NET Framework to modern .NET
Hands-on front-end experience with Angular and React
Practical experience designing and running solutions on Azure Cloud: Web Apps, Azure Container Apps, Service Bus, Key Vault, networking (VNets, private endpoints), Cosmos DB and Application Insights
Hands-on experience modernizing brownfield or legacy systems: auditing an existing system, defining a target architecture, writing specifications, and planning a phased migration
Mature architecture practice: documenting decisions as ADRs, defining and measuring non-functional requirements (performance, scalability, availability, security, observability), and explaining trade-offs to technical and business stakeholders
Around 1+ year of practical AI Engineering (AI SDLC / Agentic Engineering) experience
Experience with spec-driven development, agentic coding tools, context engineering, AI-assisted review and testing
Readiness to write code yourself, not only to lead
Strong quality engineering mindset, including test strategy, automated testing and CI/CD quality gates, especially for AI-generated code
Experience teaching and coaching engineers in AI-driven development through workshops, pairing and hands-on examples
Experience across several projects and different architectures
Experience managing an engineering team and introducing AI-driven approaches into delivery
Nice to have: experience in healthcare or insurance domain, including HIPAA and sensitive data
Nice to have: experience in a product company or startup, or own side project or business
Nice to have: experience building AI capabilities into products, including LLM integration, RAG and evaluations
Ability to move fast with lean processes and clear focus on business results

Benefits

Comp & perks

20 days of paid vacation
Paid sick leave
Official Ukrainian holidays are non-working days
Free English lessons
Paid courses and certifications
Coach/psychologist consultation
Workshops
Career development plan
Mentoring
Education
Medical Health Insurance
Team-building events and group activities
Work-life balance
Real influence on the architectural future of the product, with end-to-end ownership from strategy and PoC to production
Hiring process without a take-home assignment