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AI​/ML & Forward Deployed Engineer (FDE) C2C roles

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: Tech Mirrors
Full Time position
Listed on 2026-08-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

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)

Job Description

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.
AI/ML Engineering
  • 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.
GenAI & LLM Engineering
  • Build Retrieval-Augmented Generation (RAG) pipelines.
  • Develop prompt engineering strategies and LLM integrations.
  • Implement guardrails, hallucination reduction, evaluation frameworks, and monitoring.
MLOps / LLMOps
  • Deploy AI solutions using Docker, Kubernetes, and CI/CD pipelines.
  • Implement model versioning, monitoring, drift detection, and automated retraining.
  • Maintain production-grade AI systems.
API & Systems Integration
  • Develop REST APIs and microservices.
  • Integrate AI solutions into enterprise platforms.
  • Work with Azure API Management, OAuth2/JWT authentication, and enterprise integration patterns.
Technical Leadership
  • Mentor engineering teams.
  • Conduct design reviews and establish engineering best practices.
  • Produce architecture documentation and reusable accelerators.
Required Skills Programming
  • Python
  • ReactJS (Primary) or Angular
  • REST API Development (FastAPI, Spring Boot, Node.js)
AI/ML & GenAI
  • Azure OpenAI/OpenAI APIs
  • Lang Chain
  • Semantic Kernel
  • RAG Architecture
  • Prompt Engineering
  • Vector Databases (Pinecone, Azure AI Search)
Cloud
  • Microsoft Azure
  • Azure Kubernetes Service (AKS)
  • Azure Functions
  • Azure App Services
  • Azure Storage
  • Cosmos DB
Databases
  • SQL
  • MongoDB / Cosmos DB
Dev Ops
  • Docker
  • Kubernetes
  • CI/CD
Security
  • OAuth2
  • JWT
  • RBAC
  • Encryption
  • Secure API Design
Preferred Skills
  • Infrastructure as Code (Terraform, ARM, Bicep)
  • Azure ML
  • MLflow
  • Kubeflow
  • Databricks
  • Spark
  • Sage Maker
  • Vertex AI
  • Elasticsearch/Open Search
  • Weaviate
  • Milvus
  • Healthcare domain experience
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.
Job Details
  • 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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