GenAI Engineer
Remote, United States
Job Id:
130533
Job Category:
Job Location:
Remote, United States
Security Clearance:
None
Business Unit:
Piper Companies
Division:
Piper Enterprise Solutions
Position Owner:
Kiersten Schaefer
Piper Companies is seeking a GenAI Engineer to join a tech solutions provider in the financial services industry. This position is FULLY REMOTE (US-based, EST) and direct hire (permanent).
Responsibilities of the GenAI Engineer:
· Lead AI projects for clients: Define objectives, track progress, and align projects with business goals.
· Model implementation: fine-tune generative AI and ML models with input from specialized team members.
· Technical translation: convert requirements into actionable plans and ensure alignment across teams.
· Stakeholder liaison: act as the primary technical communicator for AI initiatives.
· Innovation and training: embrace new techniques and mentor team members for continuous improvement.
Qualifications for the GenAI Engineer:
· Generative AI Expertise: Experience deploying and fine-tuning models such as GPT or BERT, with a strong understanding of AI/ML concepts.
· Project Leadership: Proven ability to lead technical AI/ML projects, manage timelines, and collaborate effectively with diverse stakeholders.
· Cloud Platforms: Familiarity with AWS, Azure, or GCP for deploying and scaling AI models.
· Communication: Strong skills in articulating complex ideas clearly to both technical and non-technical teams.
· Continuous Learning: Passion for adopting new AI techniques and tools, and a commitment to ethical AI practices.
· Bachelor’s or Master’s degree in computer science, machine learning, AI or related field
Compensation for the GenAI Engineer:
· Annual salary: $130,000 – $145,000
· Full Benefits: Medical, Dental, Vision (all fully paid), 401k, etc.; 10 paid holidays, 3 weeks of PTO
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Keywords: Generative AI, GenAI, AI/ML models, GPT, BERT, model fine-tuning, project leadership, cloud platforms, Generative Adversarial Networks, GANs, AWS, Azure, GCP, stakeholder, AI deployment, project management, solutions, machine learning, model implementation, ethical AI, AI innovation, MLOps, containerization, model monitoring, data governance, NLP, project management, cross-functional collaboration, continuous learning, technical plans, AI solutions, scaling AI, business alignment, AI strategy, technical liaison, mortgage, financial services.