Forward Deployment Engineer

Tata Consultancy Services; Eden Prairie (MN); On-site; USD 110,000 - 120,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage: Health

Family Support: Parental Leaves

Insurance Options: Auto & Home

Commuter Benefits & Training Reimburse

Vacation, Time Off, Holidays

Legal & Financial Assistance

Job summary

Tata Consultancy Services Limited in Eden Prairie, MN is seeking an experienced AI/ML & Forward Deployed Engineer (8+ years) to deliver end-to-end AI/ML solutions that scale and align with business KPIs.

You will combine applied machine learning, software engineering, and stakeholder problem-solving to deploy production-grade systems with robust observability, security, and governance. This role operates at the intersection of data, models, systems, and real users.

Qualifications

• 8+ years of engineering experience in AI/ML and deployment
• Experience delivering production-grade AI/ML and GenAI solutions
• Strong systems engineering, observability, security, and KPI alignment

Responsibilities

• Identify AI opportunities with stakeholders and translate them into well-defined use cases with success metrics and rollout plans
• Develop and improve ML solutions (classic ML, DL, NLP) with rigorous evaluation, offline metrics, and A/B testing
• Build GenAI/LLM pipelines (RAG, embeddings, retrieval, grounding) and ensure guardrails and reliability patterns
• Package models into scalable services using Docker/Kubernetes and CI/CD, with lifecycle management and governance
• Collaborate on data pipelines, data quality, lineage, and secure design (PII/PHI, RBAC, encryption)
• Provide technical leadership, design reviews, runbooks, and reusable accelerators to scale deployments across teams

Skills

Artificial Intelligence

Machine Learning

Education

Bachelor of Computer Science

Job description

AI/ML & Forward Deployed Engineer (8+ Years)

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

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.
• 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 & amp; Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Ref inancing.

#LI-SP1

Location

Eden Prairie, MN

Function

TECHNOLOGY

Role

Engineer

ID

434475

Skills

Artificial Intelligence | Machine Learning

Salary Range

$110,000 - $120,000

Desired Candidate Profile

Qualifications

BACHELOR OF COMPUTER SCIENCE