Job Search Results for AI engineer

The Analytics Engineer will support data, automation, and AI initiatives focused on Revenue Cycle Management (RCM), with an emphasis on automating the Accounts Receivable (AR) Follow-Up function.... More This role will design scalable, production-grade data models using dbt in a modern cloud-based lakehouse environment.In addition to core analytics engineering responsibilities, this position will help enable AI-driven workflows such as intelligent account prioritization, denial trend detection, predictive insights, and workflow optimization. The ideal candidate brings strong analytics engineering fundamentals, modern data stack experience, and a systems-oriented mindset. Responsibilities- Design, build, test, and maintain high-quality data models and transformation pipelines using dbt in a distributed data environment.- Develop scalable, reusable, and well-tested data models, macros, and automation logic supporting AR Follow-Up workflows.- Partner with operations, product, and engineering stakeholders to translate business workflows into reliable, automated data solutions.- Establish and follow analytics engineering standards, including modeling conventions, testing practices, and documentation.- Participate in technical design discussions, architecture reviews, and code reviews to ensure data quality and long-term scalability.- Troubleshoot and resolve complex data issues across ingestion, transformation, and reporting layers.- Optimize data tables and processing workloads for performance, scalability, and cost efficiency.- Support datasets enabling account prioritization, denial analysis, aging performance, and workflow automation.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Analyzing, designing, developing and managing the data pipelines to release scalable Data Science models. The ML/Ops Engineer is expected to deploy, monitor and operate production grade AI systems in... More a scalable, automated and repeatable way.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

A large business solutions and anlytics company is seeking a Principal ML Engineer to join its team. This person will Construct, study and train algorithms that can learn fromcomplex, high... More dimensionality data in order to uncoverpatterns from which practical and usable predictive models and applications can be developed. They will use a varietyof techniques (e.g., random forests, deep learning, generative modeling, neural network memory) in order toimprove the predictive capability of individual natural language processing and/or machine perception algorithms. They will Architect, develop, and advise on end-to-end AI solutions ? leveraging LLMs, RAG, agentic systems, and cloud-scale infrastructure ? while guiding teams on best practices, ensuring production readiness, and aligning AI system design with business and technical goals.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

The Analytics Engineer will support data, automation, and AI initiatives focused on Revenue Cycle Management (RCM), with an emphasis on automating the Accounts Receivable (AR) Follow-Up function.... More This role will design scalable, production-grade data models using dbt in a modern cloud-based lakehouse environment.In addition to core analytics engineering responsibilities, this position will help enable AI-driven workflows such as intelligent account prioritization, denial trend detection, predictive insights, and workflow optimization. The ideal candidate brings strong analytics engineering fundamentals, modern data stack experience, and a systems-oriented mindset. Responsibilities- Design, build, test, and maintain high-quality data models and transformation pipelines using dbt in a distributed data environment.- Develop scalable, reusable, and well-tested data models, macros, and automation logic supporting AR Follow-Up workflows.- Partner with operations, product, and engineering stakeholders to translate business workflows into reliable, automated data solutions.- Establish and follow analytics engineering standards, including modeling conventions, testing practices, and documentation.- Participate in technical design discussions, architecture reviews, and code reviews to ensure data quality and long-term scalability.- Troubleshoot and resolve complex data issues across ingestion, transformation, and reporting layers.- Optimize data tables and processing workloads for performance, scalability, and cost efficiency.- Support datasets enabling account prioritization, denial analysis, aging performance, and workflow automation.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

A healthcare client is looking for an Automation Engineer to sit Hybrid in a main company location. This team is responsible for API management platforms within the organization focusing on IBM... More stacks, data power and APIC. This person is going to be responsible for working with business partners and customers to design, develop automation solutions. These solutions are responsible for better operational efficiencies, streamlining existing processes and reducing human error.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

A customer of Insight Global is seeking a Mobile SASE Software Test Engineer. The Quality Assurance team is responsible for ensuring all quality of the Versa's products before they are released to... More customers as well as upgrades. This person will be responsible for designing, developing and executing test plans for testing SASE clients on Windows, MacOS, iOS, Android and Linux. We are seeking a candidate who has a strong security, networking, and tunneling background. You will need to know how to test on each of these fronts. A strong candidate will know how to leverage AI tools for automation. Expected Salary is $140,000 - $190,000We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

About the RoleWe are looking for a Senior SQL Engineer to lead the design and implementation of SQL-based solutions powering our critical applications and workflows. This role goes beyond writing SQL... More code - it's about defining standards, mentoring peers, owning architecture, and enabling productivity through AI, CI/CD, and automation.Responsibilities? Architect, develop, and optimize SQL Server solutions including stored procedures, ETL packages (SSIS), and schema designs.? Lead performance tuning, root cause analysis, and system-level SQL improvements.? Collaborate across business, QA, and infrastructure teams to define requirements and deliver end-to-end solutions.? Drive the adoption of CI/CD pipelines for SQL deployments using GitLab or similar tools.? Use VS Code, SSMS, and Visual Studio for scalable development and debugging.? Enforce Git workflows (e.g., feature branching, pull requests) and conduct peer code reviews.? Serve as a mentor to junior engineers and promote documentation best practices.? Champion the use of AI-assisted tooling (e.g., Copilot, ChatGPT) to drive efficiency, automation, and quality in development.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .Less

As a Senior DevSecOps & MLOps Engineer, you will lead the design, automation, and governance of secure CI/CD and ML pipelines to enable reliable, scalable, and compliant software and AI delivery. You... More will partner closely with application development, data science, infrastructure, and security teams to build resilient runtime platforms, standardize deployment workflows, and embed security and observability across the full software and machine learning lifecycle.This role blends DevSecOps, platform engineering, and MLOps, with a strong emphasis on automation, security, and operational excellence.Key ResponsibilitiesDevSecOps & Platform EngineeringArchitect, implement, and maintain secure, scalable CI/CD pipelines for application and AI workloads.Define and enforce best practices for source control, release management, infrastructure-as-code, and information security.Analyze code repositories for security vulnerabilities and compliance issues, driving remediation strategies.Deploy, operate, and optimize containerized platforms using Docker and Kubernetes.Build and maintain secure, resilient runtime environments across SaaS, IaaS, and PaaS platforms.Collaborate with platform leads and third-party vendors to assess, test, and deploy upgrades and patches.Resolve complex environmental and deployment issues in partnership with external technical account managers.Automate infrastructure provisioning and configuration using Terraform, Ansible, and Azure Resource Manager (ARM).Plan and execute production deployments with minimal downtime using proven release strategies.MLOps & AI DeploymentSupport the full machine learning lifecycle, including model training, validation, deployment, monitoring, and retirement.Build and maintain ML pipelines with tools such as MLflow, Kubeflow, or equivalent frameworks.Manage model versioning, lifecycle management, and artifact traceability.Deploy ML models as production-grade APIs using REST or gRPC.Implement model serving solutions using FastAPI, TorchServe, KFServing, or similar frameworks.Design and operate batch and real-time inference pipelines.Implement canary and blue-green deployment strategies for ML models.Standardize AI deployment workflows by building reusable pipeline templates and enabling self-service for development and data science teams.Observability, Reliability & SecurityImplement observability for applications and AI systems, including logging, monitoring, and alerting.Monitor model performance, accuracy, and drift (data drift and concept drift).Enable AI observability by logging model inputs and outputs for traceability and auditability.Design and integrate feedback loops to continuously improve model performance.Secure ML pipelines and model endpoints, including authentication, authorization, and secrets management.Ensure proper handling of PII and sensitive data in AI workflows.Promote Responsible AI practices, including governance, auditability, and risk mitigation.Maintain awareness of prompt injection risks and security concerns for LLM-based systems.Collaboration & Ways of WorkingChampion secure development and operational best practices across engineering and data teams.Act as a trusted partner and advisor for DevSecOps, MLOps, and platform engineering initiatives.Actively participate in agile ceremonies, peer reviews, and knowledge-sharing activities.Produce and maintain high-quality documentation, including architecture diagrams, specifications, runbooks, and procedures.Provide responsive triage and resolution for issues across development, staging, and production environments.Foster open, professional communication across all levels of the organization.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Insight Global is looking for a BI engineering & analytics professional for one of our largest Telecom customers. This resource will partner closely with business stakeholders and data engineering... More teams to deliver actionable, customer-centric insights. The ideal candidate is highly proficient in SQL with a deep understanding of BI architecture, experience in data storytelling, working in a GCP/BigQuery environment, and familiar with visualization tools such as Qlik and Looker. The role supports a wide variety of projects throughout the year, with a strong focus on measuring customer experience and product performance KPIs?particularly evaluating the impact of new AI-driven tools across the customer journey. Acting in an advisory and consultative capacity, this individual translates business requirements into clear analytical solutions, ensures alignment with technical delivery, and proactively communicates limitations or measurement challenges. Success in this role requires strong stakeholder management skills, a business-first mindset, creative problem solving, and the ability to adapt quickly.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

We?re looking for a Junior?Mid Generative AI Engineer (typically 1?5 years of experience) with strong Python, solid computer science / computer engineering fundamentals, and hands-on experience... More building and deploying AI-enabled applications. You?ll partner with product, engineering, and data stakeholders to design, prototype, and productionize LLM-powered agentic workflow. This role is ideal for someone who enjoys shipping production software, writing clean code, and learning quickly in a rapidly evolving GenAI ecosystem?while applying disciplined engineering practices (testing, observability, security, performance).Key ResponsibilitiesBuild & Deliver GenAI Features? Implement and iterate on GenAI capabilities such as: Retrieval-Augmented Generation (RAG), semantic search, summarization, classification, and workflow automation? Design prompt strategies and guardrails (e.g., structured outputs, prompt templates, evaluation criteria)? Integrate LLMs into applications via APIs and frameworks (LangChain/LlamaIndex or Strands Agents, similar)Engineering Excellence & Software Craft? Write high-quality Python services and libraries with strong software fundamentals? Apply core CS concepts: data structures, algorithms, concurrency, networking, APIs, and system design? Create and maintain automated tests (unit/integration), CI/CD pipelines, and code reviewsAWS Cloud-Native Implementation? Build and deploy services using AWS-native components such as: Lambda, API Gateway, ECS/EKS, S3, DynamoDB/RDS, CloudWatch, IAM, KMS, SQS/SNS, Step Functions? Implement infrastructure using IaC (Terraform/ CloudFormation/ CDK preferred)? Support security and compliance patterns (least privilege IAM, encryption, secrets management)Use Modern Developer Productivity Tools? Use code-generation and AI-assisted development tools (e.g., GitHub Copilot, Claude Code, IDE copilots) responsibly to improve delivery speed and quality? Understand limitations, validate generated code, and maintain secure coding practicesCollaboration & Stakeholder Engagement? Partner with senior engineers, architects, and product owners to refine requirements and deliver iteratively? Communicate trade-offs, document designs, and contribute to internal enablement (best practices, patterns, reusable components)We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less