Remote - Lead AI Engineer
Jobs via Dice · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
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Job highlights
- Lead AI Engineer role with a focus on architecture.
- Develop AI solutions using Python and GenAI.
- Requires strong leadership and team mentoring.
- Experience with cloud platforms (Azure, GCP).
- Must have healthcare industry background.
About the role
Lead AI Engineer
We are seeking a highly skilled and experienced Lead AI Developer to join our dynamic team at Trail Blazer Consulting LLC, a client of Jobs via Dice. The ideal candidate will be an expert in AI technologies, with a strong background in full stack Python development, GenAI application design, and document processing pipelines. You will lead and manage development tasks, coordinate with cross-functional teams, and drive the successful delivery of cutting-edge AI solutions in a production environment.
Key Responsibilities:
- Lead the design, development, and testing of full stack (frontend, backend, API) Python applications.
- Design and implement GenAI applications using Retrieval-Augmented Generation (RAG) in production settings.
- Build and optimize document ingestion pipelines and document processing workflows utilizing vector databases (e.g., MongoDB Atlas).
- Manage and coordinate development tasks, collaborating with internal and external teams to ensure project success.
- Oversee the full software development lifecycle, delivering high-quality solutions with minimal supervision.
- Design and develop AI/ML models for data analytics, prediction, and forecasting.
- Deploy and maintain AI applications on cloud platforms such as Azure and Google Cloud Platform.
- Integrate and leverage AgenticAI and MCP technologies in AI solutions.
- Communicate effectively with technical and non-technical stakeholders, providing clear updates and documentation.
Required Qualifications:
- Proven expertise in AI technologies and frameworks.
- Extensive experience in full stack Python development (frontend, backend, API).
- Demonstrated success in designing and deploying GenAI applications using RAG architecture in production and hands-on experience building document ingestion pipelines with vector databases (MongoDB Atlas preferred).
- Strong leadership skills with experience managing development tasks and coordinating teams.
- Excellent verbal and written communication skills.
- Ability to lead projects independently with minimal supervision.
- Solid background in data analytics, prediction, and forecasting using AI/ML models.
- Experience deploying AI applications to cloud platforms (Azure, Google Cloud Platform).
- Familiarity with AgenticAI and MCP technologies.
- Must have a Healthcare background. HC + retail would be a huge plus.
- Must have Lead experience mentoring other team members and include on resume how many team members they lead in each project - also include if offshore and offshore.
Key Skills/Competency:
- AI Engineering
- GenAI
- Python Development
- Cloud Platforms (Azure, GCP)
- Data Analytics
- Model Deployment
- Team Leadership
- RAG Architecture
- Vector Databases
- Healthcare IT
Skills & topics
- Lead AI Engineer
- AI
- GenAI
- Python
- Google Cloud Platform
- Azure
- Data Analytics
- Healthcare
- RAG
- AgenticAI
- Engineering
- Machine Learning
- Cloud Computing
- Software Development
How to get hired
- Tailor your resume: Highlight leadership experience, team mentoring, and specific project impact (number led, offshore/onshore).
- Showcase AI expertise: Detail experience with custom model building, data pipelines, RAG, and AgenticAI on cloud platforms.
- Emphasize domain knowledge: Clearly state your healthcare background and any retail experience.
- Prepare for video interviews: Be ready to discuss your lead capabilities and technical architecture designs.
- Apply via Dice: Ensure your application is submitted through the specified platform for consideration.
Technical preparation
Master full-stack Python development.,Build custom AI/ML models and data pipelines.,Implement RAG and AgenticAI solutions.,Deploy applications on Azure and GCP.
Behavioral questions
Describe your lead experience mentoring engineers.,How have you managed offshore/onshore teams?,Share an example of leading an AI project.,Discuss your approach to technical problem-solving.
Frequently asked questions
- What specific lead experience is required for the Lead AI Engineer role at Trail Blazer Consulting LLC?
- The Lead AI Engineer role requires demonstrated leadership experience in mentoring team members. Candidates must highlight on their resume the number of team members led per project and specify if offshore or onshore teams were managed. This indicates a need for proven ability to guide and manage engineering teams.
- What are the essential AI and GenAI skills for this Lead AI Engineer position?
- For the Lead AI Engineer position, essential skills include building custom AI/ML models, implementing and defining models, and developing data pipelines. Proficiency in GenAI, specifically using RAG architecture in production, and familiarity with AgenticAI are crucial. A strong background in Python for data analytics is also required.
- What cloud platforms are preferred for the Lead AI Engineer role?
- The Lead AI Engineer role requires experience deploying AI applications to cloud platforms. Specifically, experience with Google Cloud Platform (GCP) and Microsoft Azure is expected. Candidates should be able to detail their experience managing AI solutions on these platforms.
- Is healthcare industry experience mandatory for the Lead AI Engineer job?
- Yes, a healthcare background is a mandatory requirement for the Lead AI Engineer position. Experience in both healthcare and retail would be considered a significant advantage, suggesting a need for domain expertise in these sectors.
- What is the work arrangement for the Lead AI Engineer position?
- This Lead AI Engineer position is 100% remote, offering flexibility for candidates regardless of their physical location. The job description explicitly states 'Remote' and '100% remote'.
- What visa limitations apply to this Lead AI Engineer role?
- For this Lead AI Engineer position, only candidates with GC-EAD (Green Card Employment Authorization Document) visas are eligible to apply. Other visa types are not mentioned as being accepted.
- How are interviews conducted for the Lead AI Engineer role at Trail Blazer Consulting LLC?
- Interviews for the Lead AI Engineer position will be conducted via video calls. This allows for remote interviewing and assessment of candidates' qualifications and experience.
- What kind of AI solutions will the Lead AI Engineer be developing?
- The Lead AI Engineer will be responsible for designing and developing full-stack Python applications, GenAI applications using RAG, document processing pipelines with vector databases, and AI/ML models for data analytics, prediction, and forecasting.