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Lead Consulting Developer- Python, AI/ML, Distributed System, Microservices
Job in
City of Albany, Albany, Albany County, New York, 12201, USA
Listed on 2026-01-12
Listing for:
Ll Oefentherapie
Full Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
AI Engineer
Job Description & How to Apply Below
This role is part of a specialized consulting team focused on providing advanced solution development and in-depth product knowledge to advance Oracle Health’s strategic priorities. As a Lead Consulting Developer, you will focus on developing and optimizing Python code to support AI and machine learning initiatives.
This role requires you to obtain and maintain Federal Security clearance and be a US-based citizen.
The ideal candidate demonstrates a passion for solving complex challenges through innovation, thrives in dynamic environments, and excels at collaborating with stakeholders to deliver effective technology solutions.
Qualifications- BS/MS/PhD in Computer Science or related field, with 6+ years of professional experience
- Extensive hands-on software design and programming experience, including deep expertise with Python
- Proven experience designing and building distributed systems and large-scale architectures
- Strong experience implementing microservices on leading container orchestration platforms (e.g., Kubernetes)
- Demonstrated ability to optimize systems for performance, efficiency, reliability, and scalability
- Strong customer focus with a track record of delivering robust and maintainable solutions
- Excellent communication, facilitation, and interpersonal skills, with experience collaborating across global teams
- Advanced troubleshooting, analytical, and performance tuning skills in Cloud environments
- Hands-on Cloud development experience across major platforms (Oracle Cloud, AWS, Azure, GCP)
- Experience working in an Agile development environment
- Proven track record building and operating Generative AI, Agentic, and Retrieval-Augmented Generation (RAG) systems
- Experience supporting and automating ML Ops pipelines
- Comfortable working directly with data scientists and research/innovation teams
- Familiarity with code generation assist technologies
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