senior aiml lead developer remote
- Salary
- $90K–$150KUSD
- Hiring from
- United States
- Work type
- Hybrid
- Posted
- Sep 28, 2026
Senior AI/ML Lead/ Developer (Remote)
00069958361
- Date published Sep 24 2026
- Location Washington,DC-K St N.W. / United States
- Job category Digital
- Work model Hybrid
- Design, develop, and deploy advanced machine learning models using Python and PySpark to analyze large-scale financial datasets and generate actionable business insights.
- Build predictive, classification, clustering, anomaly detection, forecasting, and risk models supporting investment banking and brokerage functions.
- Perform rigorous model validation, back-testing, and experimentation using historical and simulated market data.
- Evaluate and implement appropriate statistical, machine learning, deep learning, and AI techniques based on business requirements and regulatory considerations.
- Optimize model performance through feature engineering, hyperparameter tuning, algorithm enhancements, and distributed computing techniques.
- Design and implement enterprise-grade Generative AI solutions using Azure OpenAI Service.
- Build and deploy Retrieval-Augmented Generation (RAG) applications leveraging vector databases and knowledge retrieval systems.
- Develop intelligent agent-based systems using LangChain, LangGraph, and Agentic AI frameworks to automate business workflows and enhance decision support.
- Apply Natural Language Processing (NLP), Large Language Models (LLMs), document intelligence, and conversational AI to streamline surveillance, reporting, compliance, and advisory functions.
- Ensure safe, responsible, and governed adoption of Generative AI capabilities across the organization.
- Design and develop scalable backend services and APIs using FastAPI.
- Build microservices and AI application frameworks that integrate machine learning and GenAI capabilities into enterprise ecosystems.
- Develop reusable and maintainable software components following modern software engineering best practices.
- Implement API integrations, authentication mechanisms, monitoring, logging, and performance optimization strategies.
- Design and implement scalable data pipelines and feature engineering workflows using Azure Machine Learning and cloud-native services.
- Build reusable data products and machine learning components supporting multiple analytics and AI initiatives.
- Partner with Data Engineering teams to operationalize machine learning models and AI applications.
- Establish model monitoring, retraining strategies, experiment tracking, and lifecycle management processes.
- Ensure solutions are secure, reliable, scalable, and production-ready.
- Develop end-to-end ML and AI solutions using:
- Azure Machine Learning
- Azure OpenAI Service
- Azure Data Lake
- Azure Databricks
- Azure Storage Services
- Azure DevOps
- Manage model deployment, monitoring, governance, and operationalization on Azure platforms.
- Support enterprise-scale AI and analytics workloads while maintaining compliance and security standards.
- Collaborate with product owners, business analysts, operations teams, and technology stakeholders to define high-value data science initiatives.
- Translate complex investment banking and brokerage business challenges into measurable analytical solutions.
- Present recommendations and analytical findings to both technical and non-technical audiences.
- Drive adoption of AI and machine learning solutions through effective communication and stakeholder engagement.
- Promote responsible AI practices by evaluating model fairness, explainability, bias, security, and data quality.
- Document assumptions, risks, methodologies, and limitations in a transparent and accessible manner.
- Ensure adherence to regulatory requirements, model governance frameworks, and enterprise AI policies.
- Mentor junior data scientists, machine learning engineers, and developers.
- Promote best practices in software development, experimentation, MLOps, AI engineering, and model governance.
- Contribute to a culture of innovation, continuous learning, and technical excellence.
- 8+ years of experience in Data Science, Machine Learning, AI Engineering, or related fields.
- Expert-level proficiency in Python and PySpark for large-scale data processing and model development.
- Strong experience with:
- FastAPI
- REST APIs
- Microservices Architecture
- Object-Oriented Programming
- Software Engineering Best Practices
- Hands-on experience with:
- LangChain
- LangGraph
- RAG Architectures
- Agentic AI Frameworks
- LLM Application Development
- Strong expertise in:
- Azure Machine Learning
- Azure OpenAI Service
- Azure Databricks
- Azure Data Lake
- MLOps and CI/CD Practices
- Experience developing and deploying enterprise-grade AI/ML solutions in cloud environments.
- Deep understanding of:
- Supervised Learning
- Unsupervised Learning
- Deep Learning
- Ensemble Methods
- NLP
- Time-Series Forecasting
- Anomaly Detection
- Risk Modeling
- Strong understanding of model evaluation, feature engineering, experimentation, validation, and explainability.
- Prior experience supporting:
- Investment Banking
- Capital Markets
- Brokerage Operations
- Trade Surveillance
- Risk Management
- Front Office or Middle Office Functions
- Understanding of financial products, market data, and regulatory expectations is highly desirable.
- Excellent communication and stakeholder management skills.
- Ability to explain complex technical topics to non-technical audiences.
- Strong analytical and problem-solving capabilities.
- Experience working effectively within distributed and hybrid teams.
- Experience with vector databases such as Pinecone, Azure AI Search, Weaviate, or ChromaDB.
- Knowledge of containerization technologies including Docker and Kubernetes.
- Experience with CI/CD pipelines and DevOps practices.
- Exposure to Responsible AI, Model Risk Management, and AI governance frameworks.
- Azure certifications in AI, Data Science, or Machine Learning.
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.
Benefits that help you thrive and grow
Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.
Financial wellbeing
We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.
Physical and mental health
We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more.
Your career, your way
With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.
Real-world impact
Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.
Your path to Cognizant
Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.
Step 1: Apply to the right opportunity
Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.
Step 2: Connect with your recruiter
If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.
Step 3: Show off your skills
If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.
Step 4: Decision time
Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.
Cognizant has one of the best learning ecosystems you can ask for. From sponsored certifications to training platforms to mentorship, we have all that we need to grow.Debashish Mishra SAP MM Developer
Cognizant offers me more than a job; it offers a community. We support each other, collaborate across borders and celebrate wins together. If you’re looking for a culture that values flexibility, diversity and growth, this is the place to be.Laura Reynaud Lead Counsel
When I first joined, I was quiet and hesitant to share my thoughts. The leadership programs and the mentoring I’ve received have helped me find my voice and grow as a leader.Sujatha Gopalakrishnan Portfolio Delivery Lead
I’ve had the chance to work on impactful projects and shadow colleagues, all while getting involved in internal initiatives. The world is your oyster at Cognizant—you just need to take advantage of it!Lucas Hoffman Consultant
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