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AI Cloud Operations Lead - Remote

Lensa

Salt Lake City (UT)

Remote

USD 130,000 - 200,000

Full time

Yesterday
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Job summary

A leading company in the Real Estate Industry is seeking a VP of AI/ML to design and implement AI workflows across cloud environments. The ideal candidate will have extensive experience in AWS services and a strong background in AI/ML frameworks. This role involves collaboration with various teams to create automated solutions, ensuring scalability and security. The position offers a competitive salary and comprehensive benefits.

Benefits

Bonuses
PTO
Holidays
Health plans
Retirement plans

Qualifications

  • Minimum 12+ years of industry experience, with 2+ years in a VP or equivalent role.
  • Expertise in AWS services: Bedrock, Sagemaker, Glue, S3, IAM.

Responsibilities

  • Develop and manage AI/ML pipelines with AWS services.
  • Design, implement, and optimize RAG pipelines using LangChain.
  • Collaborate with product teams, data scientists, and engineers to deliver AI solutions.

Skills

Python
Java
JavaScript
DevOps
Teamwork
Communication

Education

Bachelor’s degree in Computer Science

Tools

AWS
GIT
Docker
Kubernetes
Terraform

Job description

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Lensa is the leading career site for job seekers at every stage of their career. Our client, SitusAMC, is seeking professionals. Apply via Lensa today!

SitusAMC is where passionate professionals come to transform our client’s businesses and their own careers. Whether you’re a real estate veteran, a technologist, or starting out, join us as we work together to realize opportunities for everyone.

We aim to match your experience with our careers to help you grow within the Real Estate Industry. If you can be yourself, advocate for others, stay nimble, dream big, own outcomes, think globally but act locally – come join us!

This role involves designing, implementing, and maintaining AI and ML workflows across cloud environments, primarily AWS. You will work with AI Developers, Data Engineers, and Business teams to suggest, design, and implement automated, secure solutions using AWS services, modern AI frameworks, and automation tools.

Essential Job Functions
  1. Develop and manage AI/ML pipelines with AWS services like Bedrock, Sagemaker, Vector DBs (pgvector, Kendra, OpenSearch)
  2. Design, implement, and optimize RAG pipelines using LangChain, HayStack, AutoGen, including data ingestion, embedding, retrieval, and generation
  3. Design autonomous agent architectures with AutoGen, LangGraph, implementing prompt engineering and communication protocols
  4. Explore and implement new LLM architectures to enhance RAG capabilities using AWS Bedrock
  5. Integrate and fine-tune Hugging Face Transformers models within workflows for NLP tasks
  6. Design and optimize cloud infrastructure focusing on scalability, security, and cost-efficiency
  7. Implement CI/CD pipelines and infrastructure-as-code practices for automation
  8. Enable data scientists to explore data and share insights using Pytorch and Jupyter notebooks
  9. Collaborate with product teams, data scientists, and engineers to deliver AI solutions
  10. Set up system monitoring tools (e.g., Cloudwatch, Prometheus, Grafana) for performance and reliability
  11. Perform other duties as assigned by your manager
Qualifications/Requirements
  • Bachelor’s degree in Computer Science, IT, Data Science, or related field, or equivalent experience
  • Minimum 12+ years of industry experience, with 2+ years in a VP or equivalent role
  • Expertise in AWS services: Bedrock, Sagemaker, Glue, S3, IAM, Vector Databases (PGVector, OpenSearch, Kendra)
  • Proficiency in Python, Java, or JavaScript
  • Experience with AI/MLOps platforms like Langchain, MLflow, Kubeflow, DSPy
  • Knowledge of distributed computing frameworks (Spark, Hadoop)
  • Experience with GIT platforms such as Azure DevOps, GitHub
  • Strong understanding of DevOps practices: Kubernetes, Terraform
  • Familiarity with container orchestration tools like Docker
  • Advanced knowledge of AI/ML frameworks and prompt engineering
  • Background in data science or ML lifecycle management
  • Strong commitment, teamwork, and communication skills
  • Ability to adapt to changing priorities and technologies

Note: This description is not exhaustive. Employees may perform other duties as needed. SitusAMC does not accept unsolicited resumes from staffing agencies; such resumes are considered property of SitusAMC, with no fee payable.

The annual salary range is $130,000 - $200,000, with compensation based on experience, education, and location. Additional benefits include bonuses, PTO, holidays, and health and retirement plans.

Equal Opportunity Employer. Qualified applicants will be considered regardless of race, color, religion, age, sex, national origin, disability, veteran status, sexual orientation, gender identity, or expression.

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