AI Cloud Operations Lead - Remote

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SitusAMC is where the best and most passionate people come to transform our client’s businesses and their own careers. Whether you’re a real estate veteran, a passionate technologist, or looking to get your start, join us as we work together to realize opportunities for everyone, we proudly serve.

At SitusAMC, we are looking to match your unique experience with one of our amazing careers, so that we can help you realize your potential and career growth within the Real Estate Industry. If you are someone who can be yourself, advocate for others, stay nimble, dream big, own every outcome, and think global but act local – come join our team!

This role is responsible for designing, implementing, and maintaining Artificial Intelligence and Machine Learning operational workflows within different cloud environments, with AWS Cloud Landscape being the primary. This role would be working closely with the AI Developers, Data Engineers, and Business to suggest, design, and implement end to end automated capabilities in a secure manner for the organization to consume. The role involves primarily leveraging AWS services, modern AI frameworks, and automation tools to deliver scalable, efficient, and secure solutions.

Essential Job Functions

• Develop and manage AI/ML pipelines using AWS services like but not limited to Bedrock, Sagemaker, Vector DB’s (pgvector Kendra or OpenSearch)
• Design, implement, and optimize RAG pipelines using LangChain, HayStack or AutoGen, including data ingestion, embedding generation, retrieval, and generation components
• Design autonomous agent architectures using AutoGen, LangGraph etc, implementing optimized prompt engineering patterns and agent communication protocols.
• Explore and implement new LLM architectures and techniques to enhance RAG capabilities using AWS Bedrock
• Integrate and fine-tune Hugging Face Transformers models within LangChain workflows for various NLP tasks
• Design and optimize cloud infrastructure used for AI and RAG capabilities with a focus on scalability, security, and cost-efficiency.
• Implement CI/CD pipelines and infrastructure-as-code practices to automate deployments and operations.
• Enable data scientists to explore data, test hypotheses, and share insights efficiently using Pytorch and Jupyter notebooks
• Work closely with product teams, data scientists, and engineers to deliver AI capabilities that meet business needs.
• Set up system monitoring tools (e.g., Cloudwatch, Prometheus, Grafana) to ensure high performance and reliability.
• Other activities as may be assigned by your manager
  
  

Qualifications/ Requirements

• Bachelor’s degree in Computer Science, Information Technology, Data Science or other related field or equivalent combination of education and experience
• Minimum of 12 years of industry and/or relevant experience, typically with 2 years in a VP level role or external equivalent.
• Expertise in AWS services primarily AWS Bedrock, Sagemaker, Glue, S3, IAM, Vector Databases – PGVector, Opensearch or Kendra.
• Proficiency in programming languages like Python, Java or JavaScript.
• Experience withAI/ MLOps platforms (Langchain, MLflow, Kubeflow, DSPy.)
• Knowledge of distributed computing systems and large-scale data processing frameworks (Spark, Hadoop)
• In-depth knowledge on any of the GIT platforms such as Azure DevOps, GitHub
• Strong understanding of DevOps practices such as Kubernetes and Terraform.
• Familiarity with container orchestration tools (e.g., Docker).
• Advanced knowledge of AI/ML frameworks and prompt engineering techniques.
• Background in data science or machine learning lifecycle management.
• Strong commitment and dedication to the position and a Team Player
• Excellent written and verbal communication skills
• Demonstarted ability to adapt to changing priorities and new technologies
  
  

Note: This job description is not intended to be all inclusive or exclusive. At any time, employees may perform other related duties as required to meet the ongoing needs of the organization and participate in additional trainings. SitusAMC does not accept unsolicited resumes from staffing agencies, search firms or any third parties. Any unsolicited resume submitted to SitusAMC in any manner will be considered SitusAMC property, and SitusAMC will not pay a fee for any placement resulting from the receipt of an unsolicited resume.

The annual full time base salary range for this role is

$130,000.00 - $200,000.00

Specific compensation is determined through interviews and a review of relevant education, experience, training, skills, geographic location and alignment with market data. Additionally, certain positions may be eligible to receive a discretionary bonus as determined by bonus program guidelines, position eligibility and SitusAMC Senior Management approval. SitusAMC offers PTO and paid holidays, the terms of which are set forth in the program policies. All full time employees also are eligible to participate in various benefit plans, including medical, dental, vision, life, disability insurance and 401K; in each case in accordance with the terms of the applicable plans.

Pay Transparency Nondiscrimination Provision (https://go.situsamc.com/rs/962-QMP-613/images/pay-transp_ English_formattedESQA508c.pdf?version=0)

SitusAMC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Know Your Rights, Workplace Discrimination is Illegal (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

SitusAMC does not accept unsolicited resumes from staffing agencies, search firms or any third parties. Any unsolicited resume submitted to SitusAMC in any manner will be considered SitusAMC property, and SitusAMC will not pay a fee for any placement resulting from the receipt of an unsolicited resume.