> Markdown version of [/jobs/ext/2376560-lead-ai-ml-developer](https://www.wearedevelopers.com/jobs/ext/2376560-lead-ai-ml-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead AI/ML Developer - **Company:** Cognizant Technology Solutions Corporation - **Location:** Houston, TX, United States - **Experience:** Expert - **Salary:** $133,000.0 - $156,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Software Quality, Code Review, Github, Monitoring of Systems, Python (Programming Language), Machine Learning, Power BI, Tensorflow, Software Deployment, SQL Databases, Tableau (Software), User-Centered Design, Pytorch, Large Language Models, Snowflake, Prompt Engineering, Generative AI, Pandas, AngularJS, Pyspark, Scikit Learn, Deployment Automation, Xgboost, Machine Learning Operations, Streamlit Framework, Looker Analytics, Docker - **Published:** August 20, 2026 - **Apply:** https://www.juju.com/job/00000000go1d4f ## About the Role * 10+ years of experience in data, analytics, AI/ML, or advanced analytics roles, including 5+ years of hands-on AI/ML development experience. * 2+ years of experience leading a developer pod or technical delivery team with responsibility for code quality, mentoring, and solution delivery. * Strong hands-on expertise with GCP Vertex AI, Vertex AI Pipelines, Model Registry, model endpoints, and production model deployment. * Experience with Gemini, Claude, prompt engineering, RAG architectures, and Generative AI solution development. * Strong proficiency in Python, PySpark, SQL, Pandas, Scikit-learn, XGBoost, LightGBM, TensorFlow, and/or PyTorch. * Experience building forecasting models such as ARIMA, SARIMA, time series models, predictive analytics models, classification models, and regression models. * Hands-on experience with Azure DevOps, CI/CD pipeline automation, GitHub, Docker, Artifact Registry, and MLOps practices. * Strong understanding of Snowflake, semantic modeling, data quality, reconciliation, and analytics consumption patterns. * Experience with Streamlit development, AngularJS integration, and building business-facing AI/analytics applications is preferred. * Experience integrating AI/ML outputs into BI tools such as Power BI, Looker, or Tableau. * Strong communication, stakeholder management, technical leadership, and problem-solving skills. * Ability to work onsite at the Houston client office and collaborate closely with client and delivery teams. ## Description We are seeking a Lead AI/ML Developer to design, develop, deploy, and manage enterprise-scale AI/ML, forecasting, predictive analytics, and Generative AI solutions. This role will leverage GCP Vertex AI, Gemini, Claude, Python, PySpark, and modern MLOps frameworks to build scalable, production-ready AI solutions and business-facing analytics products. The ideal candidate will combine hands-on AI/ML engineering expertise with technical leadership experience, cloud-native development, Azure DevOps, and BI integration capabilities. This onsite role in Houston will serve as the lead developer counterpart to the AI/ML engagement lead and support AI/ML delivery within the BI Track Leads group. _*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*_ In this role, you will: * Lead the end-to-end design, development, deployment, and production support of AI/ML, predictive analytics, forecasting, and Generative AI solutions. * Build and operationalize models using GCP Vertex AI, Vertex AI Pipelines, Model Registry, Endpoints, Gemini, Claude, and modern MLOps frameworks. * Develop forecasting, classification, regression, recommendation, and Generative AI solutions using Python, PySpark, TensorFlow, PyTorch, and related frameworks. * Design and implement RAG-based solutions, prompt engineering patterns, and LLM-powered analytics use cases. * Lead the AI/ML development squad, including solution design, code reviews, delivery quality, technical mentoring, and engineering best practices. * Own solution design for AI/ML use cases and drive initiatives from prototype through production deployment. * Build and manage CI/CD pipelines using Azure DevOps, Artifact Registry, Docker, and automated deployment practices. * Integrate ML outputs into BI platforms such as Power BI, Looker, or Tableau to deliver decision-ready dashboards, KPIs, and business insights. * Partner with engagement leads, business stakeholders, data engineers, and BI teams on use-case discovery, estimation, roadmap planning, and implementation. * Ensure model monitoring, governance, responsible AI compliance, security, data quality, and production reliability across all delivered solutions. ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Got AI ideas but no money? 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