> Markdown version of [/jobs/ext/613606-forward-deployment-engineer](https://www.wearedevelopers.com/jobs/ext/613606-forward-deployment-engineer). 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). --- # Forward Deployment Engineer - **Company:** Tata Consultancy Services Limited - **Location:** Eden Prairie, MN, United States - **Experience:** Expert - **Salary:** $100,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Program Optimization, Continuous Integration, Key Management, Machine Learning, Natural Language Processing, Performance Tuning, Rapid Prototyping Process, Role-Based Access Control, Regression Testing, Runbook, Software Engineering, Systems Integration, Strategies of Testing, Management of Software Versions, Feature Engineering, Retrieval-Augmented Generation, Large Language Models, Deep Learning, Kubernetes, Information Technology, Machine Learning Operations, Docker - **Published:** June 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=71fd06a7ea7c8a8c ## About the Role Do you have experience in Stakeholder management?, Do you have a Bachelor's degree?, Qualifications : BACHELOR OF COMPUTER SCIENCE ## Description We are looking for an experienced AI/ML & Forward Deployed Engineer with 8+ years of engineering experience to deliver high-impact AI/ML (and GenAI, where applicable) solutions end-to-end. You will blend applied machine learning, software engineering, and stakeholder problem-solving to deploy production-grade systems that are scalable, secure, observable, and aligned to business KPIs. This role is ideal for engineers who enjoy operating at the intersection of data + models + systems + real users, and who can thrive in ambiguous, fast-moving environments, 1) Use-Case Discovery & Forward Deployment * Partner with stakeholders (business/product/customers) to identify and shape AI opportunities into well-defined use cases with success metrics, constraints, and rollout plans. * Run workshops and technical discovery to assess feasibility, data readiness, integration needs, and operational risks. * Drive rapid prototyping, pilot deployments, and iterative improvements based on real user feedback. 2) Applied ML Engineering (Classic ML + Deep Learning) * Develop and improve ML solutions (classification, regression, ranking, forecasting, anomaly detection, NLP). * Establish and maintain robust evaluation practices: offline metrics, validation strategies, experimentation, and A/B testing. * Perform feature engineering, error analysis, model optimization, and performance tuning for production requirements. 3) GenAI / LLM Engineering (If Applicable) * Build and productionize RAG (Retrieval-Augmented Generation) pipelines, including document ingestion, chunking strategy, embeddings, retrieval tuning, reranking, and response grounding. * Implement guardrails and reliability patterns: prompt templates, tool/function calling, hallucination reduction, citation strategies, and fallback paths. * Develop evaluation harnesses for GenAI: quality metrics, regression tests, safety tests, and human-in-the-loop workflows. 4) Productionization (MLOps / LLMOps) * Package models into scalable services and deploy using Docker/Kubernetes and CI/CD. * Implement model lifecycle management: model registry, versioning, automated retraining triggers, and governance workflows. * Build monitoring and observability: drift detection, latency/throughput monitoring, error tracking, alerting, and rollback mechanisms. 5) Systems Integration & Platform Collaboration * Build integration layers (REST/gRPC APIs, event-driven services) to embed AI capabilities into products and enterprise workflows. * Collaborate with data engineers to design reliable pipelines and ensure data quality, lineage, and governance. * Ensure secure and compliant design (PII/PHI handling, RBAC, secrets management, encryption, audit trails). 6) Technical Leadership & Enablement * Provide technical guidance and mentoring to engineers; lead design reviews and establish best practices. * Document solutions with architecture diagrams, runbooks, and operational playbooks. ## Related Videos - [Industrializing your Data Science capabilities](https://www.wearedevelopers.com/videos/178-industrializing-your-data-science-capabilities) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) ## Related Articles - [The 8 Best Code Testing Tools](https://www.wearedevelopers.com/magazine/402-the-8-best-code-testing-tools) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Now is the time for industrialized software development](https://www.wearedevelopers.com/magazine/601-now-is-the-time-for-industrialized-software-development)