About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
Job Summary
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.
What you need to have to be considered
· 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.
#LI-EF1
#CB
#Ind123
Applications will be accepted until 28 Aug 2026.
Salary and Other Compensation:
The annual salary for this position is between $[133,000 - 156,500] depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
· Medical/Dental/Vision/Life Insurance
· Paid holidays plus Paid Time Off
· Long-term/Short-term Disability
· Paid Parental Leave
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
