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Solutions Architect

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: iLink Digital
Full Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, AI Engineer
Job Description & How to Apply Below

Dallas, United States | Posted on 12/11/2025

iLink is a Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors(ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oiland gas, education, and life sciences.

iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal,collaboration & Social Employee Engagement, Embedded Systems and User Experience designetc.

What makes iLinkSystems' offerings unique is the fact that we usepre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators),both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.

Requirements

Key Responsibilities

  • Defineend-to-end solution architectures for complex, multi-system environments.
  • Translate business requirements into scalable, secure, and maintainable technical designs.
  • Provide architectural direction for .NET (C#, .NET Core), Web API, Azure services
    , and Angular
    -based applications.
  • Lead architectural reviews, design workshops, POCs, and technical evaluations.
  • Ensure alignment with enterprise architecture, security guidelines, and compliance standards.

Technical Leadership

  • Serveas the technical authority for engineering teams across the deliverylifecycle.
  • Guide development teams in implementing architectural patterns, coding best practices, and performance optimization.
  • Mentor technical leads and engineers on architecture concepts, frameworks, and emerging technologies.
  • Provide governance on technical decisions, trade-offs, and technology selection.
  • Architect solutions leveraging LLM-based agents and AI orchestration frameworks
    .
  • Define strategy for integrating Lang Chain, Auto Gen, Llama Index, Semantic Kernel,or similar ecosystems.
  • Oversee design patterns for AI integration, prompt engineering, model interaction,and data flow.

Delivery Enablement

  • Partner with product owners and delivery managers to establish scope,architectural milestones, and technical roadmaps.
  • Collaborate with Dev Ops teams on CI/CD pipelines, infrastructure as code
    , and environment strategy (Azure Dev Ops preferred).
  • Drive architectural consistency across distributed teams and ensure smooth knowledge flow between onsite/offshore groups.
  • Conduct architecture assessments, code reviews, and performance audits.
  • Identify opportunities to optimize systems, improve reliability, and reduce technical debt.
  • Stay current with emerging technologies, architecture frameworks, and cloud capabilities.
  • Recommend improvements to development processes, engineering practices, and delivery patterns.

Required Skills & Experience

  • 10+years of experience in software engineering and solution delivery.
  • 5+years of experience in an Architect role or equivalent (Solution Architect / Technical Architect / Principal Engineer).
  • Deep expertise in .NET Framework / .NET Core, C#, Web API, SQL, and Entity Framework
    .
  • Experience designing solutions using Azure cloud services (Compute, Storage,Networking).
  • Architecture experience with frontend frameworks (Angular preferred).
  • Hands-on experience designing LLM-based agent architectures and AI integration patterns.
  • Familiarity with Lang Chain, Auto Gen, Llama Index, Semantic Kernel
    , or similar AI ecosystems.
  • Strong understanding of Dev Ops
    , CI/CD pipelines, and cloud deployment models.
  • Excellent communication, stakeholder management, and documentation skills.
  • Proven experience working with offshore/onshore distributed teams
    .
  • Strong understanding of Agile methodology and architectural roles in Agile delivery.
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