[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Barrington, IL # Forward Deployment Engineer Barrington, IL $120,000- $150,000 Operations Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/425644J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Forward Deployment Engineer ## Job description ### Role Name AI/ML & Forward Deployed Engineer (8+ Years) ### Role Overview 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 ### Key Responsibilities - 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. - 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. - 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. - 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. - 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). - 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. - Create reusable accelerators (templates, libraries, patterns) to scale deployments across teams or customers. ### Salary Range $120,000- $150,000 a year TCS Employee Benefits Summary: Discretionary Annual Incentive. ### Comprehensive Medical Coverage Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. ### Family Support Maternal & Parental Leaves. ### Insurance Options Auto & Home Insurance, Identity Theft Protection. ### Convenience & Professional Growth Commuter Benefits & Certification & amp; Training Reimbursement. ### Time Off Vacation, Time Off, Sick Leave & Holidays. ### Legal & Financial Assistance Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-DNI