Forward Deployment Engineer

Tata Consultancy Services Limited; Eden Prairie (MN); Vor Ort; USD 110.000 - 120.000; Vollzeit

Benefits dieser Stelle

Discretionary Annual Incentive

Comprehensive Medical Coverage

Zusammenfassung

Tata Consultancy Services Limited is seeking an experienced AI/ML & Forward Deployed Engineer with 8+ years of engineering experience to deliver high-impact AI/ML 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 operates at the intersection of data, models, systems, and real users, thriving in fast-moving

Qualifikationen

• 8+ years engineering experience delivering AI/ML solutions end-to-end.
• Experience blending data, models, and systems for production-grade deployments.
• Ability to build and maintain evaluation, testing, and governance processes.

Aufgaben

• Discover use cases and plan forward deployments with success metrics.
• Prototype and deploy ML/GenAI solutions in production environments.
• Develop and maintain ML pipelines, feature engineering, and model optimization.
• Build and productionize RAG pipelines with embeddings and retrieval tuning.
• Ensure secure, compliant design with RBAC and data governance.
• Provide technical leadership and document architectures and runbooks.

Kenntnisse

Applied ML Engineering

GenAI Engineering

MLOps

Ausbildung

Bachelor of Computer Science

Tools

Docker

Kubernetes

Jobbeschreibung

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: $110,000-$120,000 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 & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Qualifications

BACHELOR OF COMPUTER SCIENCE