Broadway Infotech
AI

Artificial Intelligence Engineer

Broadway Infotech · Bellevue, WA, US · $145k - $166k

Actively hiring Posted 5 months ago

**Position- Azure AI Engineer - Data Scientist

Location- Bellevue, WA

Type- Contract

Job description**

We are seeking an experienced Azure AI Engineer Administrator with 5 years of expertise in managing deploying and optimizing AI solutions across traditional AI Propensity Models Forecasting ML algorithms and Generative AI capabilities The role requires deep knowledge of Azure AI Foundry advanced NLP models BERT ROUGE and generative AI frameworks like Azure OpenAI Copilot Studio Agent and Agent to Agent orchestration as well as strong proficiency in AI Core algorithms XGBoost Bayesian Random Forest and modern MLOps practices The ideal candidate will ensure scalable secure and high performing AI solutions that align with business objectives

Design implement and administer AI solutions on Azure AI Foundry for enterprise scale workloads

Build and finetune Generative AI models leveraging Azure OpenAI BERT ROUGE Mistral Claude Sonnet Anthropic

Develop AI workflows using Copilot Studio Agents Agent to Agent communication and MCP Model Control Protocol

Implement and optimize AI Core algorithms such as XGBoost Bayesian networks and Random Forest for predictive analytics and forecasting

Ensure end to end model lifecycle management including training deployment monitoring and retraining

Integrate Generative AI capabilities into enterprise applications using secure and scalable architectures

Collaborate with data scientists engineers and business teams to convert business needs into AI solutions

Utilize MLOps pipelines for CICD model versioning and automated deployments in Azure

Monitor performance capacity and cost metrics for AI infrastructure and optimize as needed

Enforce AI governance security compliance and responsible AI principles across all solutions

5 years of hands on experience in AIML development and administration within Azure ecosystem

Strong expertise in Azure AI Foundry BERT ROUGE and Generative AI frameworks

Proficiency with AI Core algorithms such as XGBoost Bayesian models and Random Forest

Experience working with Azure OpenAI Copilot Studio Agent Agent to Agent orchestration and MCP

Strong programming skills in Python and experience with frameworks like PyTorch TensorFlow

Knowledge of model evaluation techniques bias detection and ethical AI principles

Handson experience in MLOps CICD for AI and infrastructure automation in Azure

Understanding of vector databases embeddings and RAG Retrieval Augmented Generation workflows

Bachelors or master’s degree in computer science AIML Data Science or related field

Microsoft Certified Azure AI Engineer Associate or equivalent certification

Proven experience in finetuning LLMs and working with multiagent AI systems

Familiarity with Azure Machine Learning Copilot extensibility and plugin development

Exposure to AI observability tools bias mitigation techniques and compliance frameworks

Strong analytical and communication skills to engage with technical and nontechnical stakeholders

**Skills

Mandatory Skills :** Python - Data Science

Job Types: Full-time, Contract

Pay: $70.00 - $80.00 per hour

Work Location: In person

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Contract Ai Ai Engineer Machine Learning Data Science Nlp Mlops Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.