AI/ML & Forward Deployed Engineer (FDE) C2C roles
Listed on 2026-08-13
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software, DevOps
Job Title:
AI/ML & Forward Deployed Engineer (FDE)
Experience:
8+ Years
Employment Type:
C2C (Corp-to-Corp)
Work Mode:
Onsite – 5 Days/Week
Locations:
Minneapolis, MN / Chicago, IL / New York, NY / Texas / Tampa, FL (Candidate can be based at any of these TCS office locations)
We are looking for an experienced AI/ML & Forward Deployed Engineer (FDE) with 8+ years of experience to design, develop, and deploy enterprise-scale AI/ML and GenAI solutions. The ideal candidate will combine strong software engineering skills with AI/ML expertise and work closely with business stakeholders to deliver production-ready AI solutions. The role requires working onsite from any of the TCS office locations in Minneapolis, Chicago, New York, Texas, or Tampa, five days a week.
Key Responsibilities Forward Deployment & Customer Engagement- Collaborate with business stakeholders to identify AI/ML opportunities.
- Translate business problems into scalable AI solutions.
- Lead technical discovery sessions, workshops, and solution design.
- Deploy pilot solutions and continuously improve them based on customer feedback.
- Build and optimize machine learning models for classification, regression, forecasting, NLP, and anomaly detection.
- Perform feature engineering, model evaluation, hyperparameter tuning, and performance optimization.
- Develop robust testing and validation strategies.
- Build Retrieval-Augmented Generation (RAG) pipelines.
- Develop prompt engineering strategies and LLM integrations.
- Implement guardrails, hallucination reduction, evaluation frameworks, and monitoring.
- Deploy AI solutions using Docker, Kubernetes, and CI/CD pipelines.
- Implement model versioning, monitoring, drift detection, and automated retraining.
- Maintain production-grade AI systems.
- Develop REST APIs and microservices.
- Integrate AI solutions into enterprise platforms.
- Work with Azure API Management, OAuth2/JWT authentication, and enterprise integration patterns.
- Mentor engineering teams.
- Conduct design reviews and establish engineering best practices.
- Produce architecture documentation and reusable accelerators.
- Python
- ReactJS (Primary) or Angular
- REST API Development (FastAPI, Spring Boot, Node.js)
- Azure OpenAI/OpenAI APIs
- Lang Chain
- Semantic Kernel
- RAG Architecture
- Prompt Engineering
- Vector Databases (Pinecone, Azure AI Search)
- Microsoft Azure
- Azure Kubernetes Service (AKS)
- Azure Functions
- Azure App Services
- Azure Storage
- Cosmos DB
- SQL
- MongoDB / Cosmos DB
- Docker
- Kubernetes
- CI/CD
- OAuth2
- JWT
- RBAC
- Encryption
- Secure API Design
- Infrastructure as Code (Terraform, ARM, Bicep)
- Azure ML
- MLflow
- Kubeflow
- Databricks
- Spark
- Sage Maker
- Vertex AI
- Elasticsearch/Open Search
- Weaviate
- Milvus
- Healthcare domain experience
- 8+ years of software engineering experience.
- Hands-on experience building and deploying AI/ML and GenAI applications in production.
- Strong stakeholder communication and customer-facing experience.
- Experience working in Agile environments.
- Client:
TCS - Employment Type:
C2C - Work Location:
Minneapolis, Chicago, New York, Texas, or Tampa (Any TCS office location) - Work Mode:100% Onsite
- Schedule:
5 Days a Week from Office
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