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Software Engineer, iOS Core Product - Lakewood, USA
Clutch Canada
Germany
Remote
EUR 70,000 - 90,000
19 days ago
Discover more opportunities than anywhere else. Find more jobs nowSenior Software Engineer, AI Model serving - Taipei, Taiwan
Clutch Canada
Germany
Remote
EUR 60,000 - 90,000
19 days ago
Videoeditor für Werbeanzeigen & Social Media (m/w/d) - 100% Remote
Erschaffe dich neu
Berlin
Remote
EUR 60,000 - 80,000
19 days ago
Connect with headhunters to apply for similar jobsLead Centura Consultant (only for US Citizens & GC Holders)
Highbrow LLC
Germany
Remote
EUR 60,000 - 80,000
19 days ago
Business Systems Developer (.NET) 60,000 Fully Remote
Pearson Carter
Germany
Remote
EUR 57,000 - 69,000
19 days ago
Vertriebsmitarbeiter Innendienst - Vollzeit (m/w/d)
BewerbungsCode GmbH
Berlin
Remote
EUR 70,000 - 200,000
19 days ago
Architecture Senior Advisor – AI Principal
Highbrow LLC
Remote
EUR 129.000 - 173.000
Full time
19 days ago
Job summary
A leading technology consulting firm is seeking an Architecture Senior Advisor – AI Principal role. This position involves defining and executing an enterprise-wide Data & AI Strategy, mentoring teams, and leading AI governance initiatives. The ideal candidate will have over 10 years of experience, including 5 years in leadership, with strong expertise in machine learning, NLP, and cloud-native AI platforms. The role supports remote work, allowing flexible engagement with teams across the globe.
Qualifications
- 10+ years of experience in Data Science, AI, or Enterprise Data Strategy.
- 5+ years in leadership/principal roles.
- Strong hands-on expertise in machine learning and GenAI.
Responsibilities
- Define and execute enterprise-wide Data & AI Strategy.
- Establish a roadmap for Generative AI adoption.
- Mentor data scientists in advanced modeling and GenAI pipelines.
Skills
Machine Learning
Data Science
AI Governance
Python
SQL
Cloud-native AI Platforms
Tools
PyTorch
TensorFlow
Databricks
Snowflake
Airflow
Job description
Job Title:Architecture Senior Advisor – AI Principal
Location:Remote
Responsibilities
- Define and executeenterprise-wide Data & AI Strategy, aligned with business and leadership.
- Partner with executive leadership to identify and prioritizeAI use casesthat deliver measurable value
- Establish a roadmap forGenerative AI adoption, LLM deployment, and Responsible AI governance.
- Serve as athought leaderacross AI, ML, Data Engineering, and Business Transformation domains.
- Design and prototypeAI/ML and GenAI solutionsusing frameworks such as PyTorch, TensorFlow, LangChain, Hugging Face, and Vertex AI / Azure AI.
- Driveend-to-end architecture— from data ingestion and feature engineering to model deployment and monitoring.
- Mentor data scientists, MLOps engineers, and solution architects in advanced modeling, GenAI pipelines, and prompt optimization.
- Evaluate and integrateenterprise and open-source AI platformsto accelerate innovation.
- Define data modernization roadmap — encompassing data fabric, metadata management, and data quality frameworks.
- Partner with enterprise architecture to ensuredata accessibility, interoperability, and AI-readiness.
- Lead initiatives arounddata democratizationandAI-native platform enablement(including RAG, vector databases, and feature stores).
- Champion the convergence ofData, AI, and Analytics platformsfor unified intelligence delivery.
- Work closely with Product, Clinical, PBM, and Engineering teams to embed AI capabilities within business workflows.
- Partner with external vendors and hyperscalers (AWS, Azure, Google Cloud) to co-develop scalable AI solutions.
- Communicate complex AI strategies clearly to senior leadership, stakeholders, and non-technical partners.
Qualifications
- 10+ years of experience inData Science, AI, or Enterprise Data Strategy, with at least 5+ years inleadership/principal roles.
- Strong hands-on expertise inmachine learning, GenAI, NLP/LLM development, and MLOps.
- Proven ability to build and scaleAI Centers of Excellence (CoE)and align technical execution with enterprise strategy.
- Proficiency withPython, SQL, cloud-native AI platforms, and modern data stack (Databricks, Snowflake, Airflow, MLflow, etc.).
- Demonstrated success influencing senior executives and leading cross-functional AI transformations.
Desired
- Experience withresponsible AI, governance frameworks, and regulatory compliance (HIPAA, PHI).
- Experience implementingagentic AIorautonomous analytics frameworks.
- Track record ofAI commercialization, IP creation, or research contributions.
- Good to have understanding of Insurance, PBM, Healthcare data domains
- Good to have understanding and working experience in End-user/Contact Center technology verticals
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.