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1–2 jobs· newest first

Principal Solution Architect - AI Accelerated EngineeringNew
CDW · Remote, US
$156K–$241KRemote · Full-time · Principal
AI EngineerNew
vfairs · Lahore, Pakistan
Mid

+10K new in the last hour

Principal Solution Architect - AI Accelerated Engineering

CDW · Posted Nov 12, 2026

Remote, United States
Remote
Full-time · Principal
$156K–$241K per year
10–14 years

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The Solution Architect is a hybrid technical delivery and client-facing role that spans the full life of an engagement, from the first conversation to successful delivery. The Solution Architect is the technical expert who understands the client's real problem, designs the right solution, and scopes the engagement, converting to a billable technical lead upon deal signing.

Compensation

Pay range: $156,000 - $240,800 depending on experience and skill set Annual bonus target of 10% subject to terms and conditions of plan

Responsibilities

Partner with Client Executives and Solution Executives to qualify opportunities, lead technical discovery, and uncover the business problem behind the request
Facilitate envisioning sessions and workshops that help clients define outcomes, priorities, and a realistic roadmap
Design end-to-end solutions and translate them into clear scope, estimates, staffing plans, business outcomes, and risk assessments
Architect and co-author high-level designs (HLDs), level-of-effort (LOE) estimates, proposals, statements of work (SOWs), RFP responses, business cases, and client presentations
Own the commercial soundness of solutions by structuring the engagement staffing mix and delivery approach, including AI-accelerated delivery, to achieve target margin

Requirements

Bachelor’s degree
Nice to have: Claude Agent SDK
Nice to have: LangGraph
Nice to have: Microsoft Agent Framework
Nice to have: Azure Solutions Architect Expert

Skills

AI & Agentic Engineering LLM application design RAG tool use agents orchestration model selection and evaluation responsible AI and guardrails Java .NET (C#)Python JavaScript/TypeScript Cloud Platforms Microsoft Azure AWS Google Cloud

Benefits

https://cdw.benefit-info.com/

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V

AI Engineer

vfairs · Posted Nov 12, 2026

Lahore, Punjab, Pakistan
Mid
3+ years

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Build and scale AI-powered features within the virtual events platform, focusing on autonomous AI agents for event setup and customer interaction.

Responsibilities

Design and build fully autonomous AI agents that can independently plan, sequence, and execute multi-step workflows for event setup
Architect multi-agent systems using LangGraph, including planner/executor patterns, task decomposition, sub-agent delegation, and recovery logic
Extend and maintain the MCP (Model Context Protocol) server as the primary interface for agents to read and write vFairs event data
Design guardrails, validation, and human-in-the-loop checkpoints for autonomous agent actions
Build robust evaluation and observability pipelines for agent behavior (task success rate, drift, hallucinated actions, cost/latency)

Requirements

Nice to have: PHP
Nice to have: Laravel
Nice to have: Vue.js
Nice to have: Multi-cloud infrastructure
Nice to have: Customer-facing chatbots

Skills

Python LangGraph FastAPI LLM application design

event-driven architectures

serverless architectures

domain-driven design

REST API design

GraphQL API design

containers and Kubernetes

Red Hat OpenShift

DevSecOps practices

Relational and NoSQL data modeling

data pipelines and ETL/ELT

vector databases

Test-driven development

unit, integration, end-to-end, and contract testing

Multi-agent systems

Tool orchestration

MCP (Model Context Protocol)

Vector databases (pgvector, Chroma)

SQL-based retrieval strategies

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